Forward Deployed AI Strategist

Operator III, Packaging - 2nd Shift

DEA Manager

VP, IAM Assurance Leader

Principal Platform Engineering – Digital Integration

Chemist Data Reviewer

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Principal Data Scientist

Sales and Marketing Analyst Role

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Role Description: <ul><li>With thorough knowledge and skills in all areas of the packaging process, performs more advanced functions relating to the packaging of drug products consistent with established Current Good Manufacturing Practices (cGMP), customer requirements and in conjunction with all Standard Operating Procedures (SOP). Is qualified in both Filling and Labeling. </li><li>Is qualified and capable of competently running all packaging equipment across the entire packaging department. </li><li>Responsible for the safe and efficient execution of their job duties, while ensuring product compliance to established standards. May serve as back-up to the Senior Packaging Technician.</li></ul> Responsibilities: Packaging Operations: <ul><li>Is qualified and capable of competently running all packaging equipment across the entire packaging department</li><li>Is qualified in both Filling and Labeling</li><li>Ensures that all equipment is running properly</li><li>Executes processes such as material handling, capping, outserts/med guides, in-process checks, packing, stacking, cartooning, etc.</li><li>May request components, labels and inserts per the BPR</li><li>Sets up packaging machinery; accurately sets equipment programming according to BPRs and SOPs</li><li>Sets up, starts, operates, adjusts, troubleshoots and tears down packaging lines</li><li>Executes Batch Production Record (BPR) and logbook documentation with detail and accuracy</li><li>Accurately reviews BPRs steps for completeness and accuracy</li><li>Collects samples from each batch and submits to QA for retained samples</li><li>Demonstrates the ability to execute procedures and complete tasks in a compliant and safe manner</li></ul> Equipment Cleaning: <ul><li>Conducts verification of line/equipment cleaning and documents per SOP</li><li>Executes the procedures used to clean pharmaceutical packaging equipment and facilities</li><li>Conducts Master Cleans and Surface Cleans</li></ul> Continuous Improvement : <ul><li>Identifies 6S opportunities and sustains the 6S process</li><li>Assists in troubleshooting process issues</li></ul> Issues and Deviations: <ul><li>Identifies and reports processing related issues to Packaging Supervisor and to Quality personnel.</li></ul> Quality: <ul><li>Executes the required in-process product quality checks and documents accurately.</li></ul> Teamwork and Collaboration: <ul><li>Demonstrates the ability to work in collaboration with others as a part of a team.</li></ul> Training: <ul><li>Stays current on SOPs and cGMPs.</li><li>May participate in training qualifier classes.</li></ul> Safety and Compliance: <ul><li>Participate in safety teams, start-up discussions, incident debriefs, etc.</li><li>Carries out processing/packaging activities safely, as required, on a daily basis.</li><li>Follows all safety and compliance procedures and participates in required training.</li><li>Adheres to all cGMP compliance/regulatory mandates and quality requirements.</li><li>Ensures compliance with SOPs, Policies and Procedures as required by Par and regulatory agencies</li></ul> Misc.: <ul><li>Other related duties as assigned to meet departmental and Company objectives.</li></ul> Requirements: Education &amp; Experience: <ul><li>High school diploma or equivalent.</li><li>3 years of packaging experience</li></ul> Knowledge &amp; Skills: <ul><li>Knowledge of cGMP regulations and processes.</li><li>Qualified in both Filling and Labeling</li><li>Qualified and capable of setting up and running all machinery in the value stream</li><li>Competent in Master Clean/Surface Clean</li><li>Ability to sample batches</li><li>Ability to follow both verbal and written instructions including SOP’s and Batch Record documentation</li><li>Ability to accurately and precisely record data and batch information</li><li>Ability to work in both independent and team environments</li><li>May become a certified trainer and provide certified training in one process</li><li>Effectively interfaces with other department personnel if Senior level (4th level) isn’t available</li><li>Ability to troubleshoot process issues</li><li>Ability to Identify 6S opportunities and sustain the 6S process</li><li>Ability to participate in Continuous Improvement projects</li><li>Proficient in reading and writing English to understand work instructions and document results</li></ul> Physical Requirements: <ul><li>Must be able to stand for long periods of time (8- or 12-hour shifts), lift at least 35 pounds, climb ladders, wear a dust mask or respirator and pass associated respirator tests and/or requirements, and be able to wear all required PPE, including safety glasses, ear plugs, and safety shoes.</li><li>Dexterity - ability to quickly move your hand, your hand together with your arm, or your two hands to grasp, manipulate, or assemble objects.</li><li>Vision - ability to see details at close range (within a few feet of the observer).</li><li>Multi-limb Coordination - ability to coordinate two or more limbs (for example, two arms, two legs, or one leg and one arm) while sitting or standing.</li></ul>

Role Description: <ul><li>The DEA Manager is responsible for ensuring the company maintains strict compliance with all DEA regulations and applicable state-level controlled substance laws.</li><li>This role manages the day-to-day requirements for handling-controlled substances, including quota management, licensing, ARCOS reporting, Suspicious Order Monitoring (SOM), material movement, and maintaining accurate records to ensure audit readiness at all times.</li></ul> Responsibilities: <ul><li>Manages a team supporting State Licensing, Suspicious Order Monitoring (SOM) and DEA.</li><li>Manages and submits DEA procurement quota applications.</li><li>Maintains and renews DEA, State, and Board of Pharmacy licenses and registrations for all company facilities.</li><li>Oversees the generation and execution of DEA 222 forms for the transfer and procurement of Schedule II controlled substances.</li><li>Acts as the primary point of contact during DEA and State Board of Pharmacy inspections and audits.</li><li>Liaises with Procurement and the DEA regarding the import/export of control substances and completes required documentation.</li><li>Prepares, reviews, and submits accurate and timely ARCOS reports to the DEA; Ensures accurate reporting of year-end and biennial inventories across all facilities.</li><li>Conducts internal audits of controlled substance vaults, cages, and manufacturing areas to ensure physical security and record-keeping compliance.</li><li>Drafts, reviews, and updates Standard Operating Procedures (SOPs) related to the handling, storage, and distribution of controlled substances.</li><li>Monitors federal and state legislative changes regarding controlled substances; advises management on the impact of new regulations and implement necessary operation shifts.</li><li>Coordinates all controlled substance destruction with the warehouse and the Environmental, Health &amp; Safety department.</li></ul> Requirements: Education &amp; Experience <ul><li>Bachelor’s degree in science, PharmD preferred.</li><li>5+ years of relevant work experience.</li><li>Strong knowledge of DEA and FDA regulations.</li></ul> Physical Requirements <ul><li>Ability to stand, walk, or climb stairs/ladders for extended periods while performing duties within the plant.</li><li>Occasional lifting or moving of materials or equipment (generally up to 25–40 lbs)</li><li>Frequent use of hands and eyes for computer work, and documentation.</li><li>Ability to wear required personal protective equipment (PPE) such as safety glasses, gowns, gloves, or respirators when entering manufacturing areas.</li><li>Capacity to work in cleanroom, environments, which may involve temperature variations, or noise.</li><li>Must be able to travel between facilities as needed</li></ul>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</li></ul>

Responsibilities: <ul><li>Technical Leadership &amp; Strategy: Create long-term Integration Strategy and Roadmap, Define and implement Integration patterns &amp; standards</li><li>Technology Evaluation: Research, evaluate, and adopt emerging technologies, tools, and industry trends to enhance integration capabilities</li><li>Solution Architecture: Design scalable and reusable middleware components, including API gateways, message brokers, iPaas and application servers</li><li>Infrastructure Management: Deploy, manage and monitor integration solutions to ensure high availability, optimal performance and minimal downtime</li><li>Governance &amp; Standards: Establish and enforce best practices, security measures, and documentation standards for middleware platforms</li><li>Collaboration &amp; Leadership: Ability to work across teams, mentor engineers, and communicate technical strategies to stakeholders.</li><li>Experience: Substantial experience in multiple middleware technologies for architecture design, software development and system administration in both cloud-native and hybrid environments</li><li>Systems Thinking: Ability to evaluate, design and maintain future ready, secure, scalable digital integration solutions.</li></ul> Requirements: <ul><li>Minimum requirement of 8 years of relevant work experience. Typically reflects 12 years or more of relevant experience.</li><li>Technical Expertise: Strong proficiency with middleware technologies such as</li><li>Integration Platforms: Boomi, SAP BTP, MuleSoft</li><li>API Gateways: Kong, Layer7, Apigee</li><li>B2B/EDI: Open Text, Boomi, IBM Sterling</li><li>Messaging Queue: Kafka, Solace, Pulsar</li><li>Web/App Servers: WebLogic, WebSphere, Tomcat</li><li>Technical Services: Jira, GitHub, Azure DevOps, Datadog, AppDynamics</li></ul>

Job Summary: <ul><li>This position is dedicated to the review, verification, and assessment of analytical data generated within the Quality Control laboratory.&nbsp;</li><li>The role ensures that all laboratory documentation meets cGMP, regulatory, and internal quality standards.&nbsp;</li><li>Responsibilities do not include performing laboratory testing, operating instruments, or releasing materials or products.</li></ul> Responsiblities: <ul><li>Review complete analytical data packages generated from a wide range of QC laboratory instrumentation, including HPLC, UPLC, GC, UV?Vis, FT?IR, Dissolution, X?Ray Diffraction (XRD), pH meters, Karl Fischer, ICP-MS, and other compendial or platform - specific systems.</li><li>Verify calculations, chromatographic integrations, peak assignments, system suitability criteria, and instrument audit trails across software platforms such as Empower, ChemStation, LabSolutions, ICP?MS data systems, and dissolution software.</li><li>Assess data for compliance with approved analytical methods, compendial requirements, SOPs, and cGMP expectations, ensuring consistency across diverse analytical techniques.</li><li>Evaluate raw data outputs such as chromatograms, spectra (UV, IR), dissolution profiles, XRD patterns, elemental analysis reports, pH logs, and mass spectrometry data for accuracy and scientific soundness.</li><li>Identify discrepancies, atypical trends, integration anomalies, missing data, or potential data integrity concerns and escalate findings promptly.</li><li>Confirm that all raw data, worksheets, logbooks, electronic records, and metadata comply with ALCOA+ principles and meet internal documentation standards.</li><li>Review LIMS entries for accuracy, completeness, and proper linkage to supporting raw data and metadata.</li><li>Ensure instrument-specific parameters (e.g., wavelength accuracy for UV, calibration curves for ICP?MS, dissolution run conditions, GC column performance) are appropriately documented and meet acceptance criteria.</li></ul> Requirements: Education &amp; Experience: <ul><li>Minimal acceptable level of education, work experience and certifications required for the job</li><li>Bachelor of Science Degree in chemistry, chemical engineering or related field with 4+ years’ relevant analytical laboratory experience OR</li><li>Master’s Degree in above disciplines with 2+ years’ relevant analytical lab experience</li></ul> Knowledge: <ul><li>Has strong knowledge of laboratory software and has expanded knowledge of chromatographic software (e.g. Waters Empower, Agilent ChemStation and Sotax WinSotax), using custom fields, custom calculations and custom reports</li><li>Full proficiency with various laboratory techniques/instruments: HPLC, UV-Vis, FT-IR, GC and dissolution tester, melting point apparatus, viscometer, Karl Fischer titrator, pH meter, analytical balance, etc.</li><li>Thorough knowledge of applicable safety and standards guidelines, such as SOP, cGMP, GLP, DEA regulations and/or MSDS</li><li>Has demonstrated competence in conducting chemical analyses</li><li>Strong knowledge of wet chemistry techniques</li><li>Competency in Microsoft Office Suite</li></ul> Skills &amp; Abilities: <ul><li>Ability to critically review and analyze data, interpret information, and draw conclusions from relevant or missing information, reporting to management</li><li>Ability to display and analyze data in a logical manner</li><li>Ability to critically review, analyze data, interpret information, and draw conclusions from relevant or missing information</li><li>Ability to display and analyze data in a logical manner</li><li>Strong verbal and written communication skills as well as good computer skills</li><li>Strong attention to details and accurate record keeping</li><li>Establish and maintain cooperative working relationships with others</li><li>Solid organizational skills</li><li>Ability to coach less senior staff and develop laboratory skills and ability</li><li>Ability to take initiative, set priorities and follow through on assignments</li></ul> Physical Requirements: <ul><li>Extended periods of sitting, standing, walking, reaching, climbing/balancing, kneeling/crouching/crawling, looking at monitor for extended periods, moderate noise levels and potential business travel.&nbsp;</li><li>Work is in an FDA and DEA-regulated pharma lab environment with risk of exposure to various chemicals</li><li>Must occasionally lift and/or move up to 15-25 lbs.</li><li>Ability to wear personal protective equipment, including respirators, gloves, etc.</li><li>Specific visions abilities are required by this job include close vision and color vision</li><li>Ability to occasionally tolerate significant differences in temperature and/or humidity for short periods</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Framework Development: Contribute to, maintain and enhance the test automation framework by adding new capabilities and improving maintainability.</li><li>Ensure the framework supports scalability, modularity, and cross-platform compatibility.</li><li>Be ready to jump into unknown areas and quickly implement the most suitable solutions.</li><li>Test Script Development: Design, develop, and maintain robust and reusable test automation scripts.</li><li>Work with different application layers: UI, API, database, and possibly mobile or desktop apps. Implement and maintain utilities and test libraries.</li><li>If required support developers with unit tests.</li><li>Test Strategy &amp; Planning: Collaborate with QA leads and developers to define what to automate, when, and how.</li><li>Ensure test automation is integrated in the CI/CD pipeline and supports continuous testing.</li><li>Test Execution &amp; Maintenance: Regularly run automated tests and analyze results. Identify and troubleshoot test failures, escalating issues when needed. Maintain and update existing test cases and CI/CD pipelines as applications evolve.</li><li>Troubleshooting &amp; Debugging: Investigate test failures and identify root causes— whether it’s a test issue, application defect, or environment problem.</li><li>Provide quick and effective fixes or workarounds.</li><li>Collaboration &amp; Mentorship: Collaborate with developers, QA engineers, DevOps, and product owners to ensure alignment on testing objectives.</li><li>Mentor junior team members on automation best practices and tool usage.</li><li>Code Quality &amp; Version Control: Write clean, maintainable, and efficient automation code. Perform code reviews for junior engineers and provide constructive feedback. Ensure adherence to automation coding standards and version control practices.</li><li>Test Data &amp; Environment Handling: Set up or manage basic test data for automated runs. Run tests across different environments and report inconsistencies.</li><li>Documentation: Document automated tests and provide clear test case descriptions.</li><li>Keep test coverage and automation status updated in tracking tools like Jira, TestRail, or similar.</li></ul> Requirements: <ul><li>Experience &amp; Expertise: Excellent coding skill in Python, JavaScript is a plus.</li><li>Proven experience in building test framework, application development and building applications, working with git.</li><li>Solid experience with API automation testing, microservices solutions, setting up CI/CD pipelines in Azure DevOps or similar.</li><li>Great experience with Docker or similar.</li><li>Agile methodology: Experience in working in an Agile environment and comfortable in dynamic settings and requirements.</li><li>You thrive as fast-paced and are an independent contributor with no support required to drive assigned tasks forward with precision and efficiency.</li><li>Communication &amp; Collaboration: Proficient in cross-functional communication with a demonstrated ability to facilitate team communication and knowledge sharing sessions.</li><li>Technical Proficiency: Hands-on experience with latest development tools and processes, DevOps practices and Cloud solutions like Azure, AWS or similar, Robot Framework, Selenium Grid and reporting tools like Grafana, Report Portal or similar.&nbsp;</li><li>Continuous Improvement: Proactively identify areas for automation improvement or technical debt reduction.</li><li>Stay current with industry trends, tools, and emerging practices.</li><li>Educational Background: A Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Role Description: <ul><li>Role Definition Supports the management of key accounts, sales support, and account planning and assists with identifying and pursuing new opportunities and addressing customer issues.&nbsp;</li></ul> Responsibilities <ul><li>Manage the complete sales cycle — from quotation to order closure and payment follow-up.</li><li>Build and sustain strong client relationships ensuring satisfaction and repeat business.</li><li>Understand client needs and provide tailored solutions.</li><li>Achieve or exceed sales targets.</li><li>Identify upselling and cross-selling opportunities.</li><li>Develop strategies to grow existing accounts.</li><li>Create account plans outlining goals, strategies, and timelines.</li><li>Monitor account performance and adjust plans as needed.</li><li>Work closely with internal teams (marketing, product, support) to deliver client solutions.</li><li>Track sales metrics and prepare regular reports for management.</li><li>Analyze market trends and competitor activities.</li><li>Identify and develop new business opportunities within existing and new accounts.</li><li>Collaborate with internal teams to ensure timely delivery and service quality.</li><li>Track account performance, revenue growth, and market opportunities proactively x</li></ul> Requirements: Education and Experience <ul><li>Graduate (B-Tech – Mechanical, Electrical OR Electronics)</li><li>Min 3-5 Years Experience in similar field or work area.</li><li>Job Location: Chennai Tamil Nadu</li><li>Language : Should know English, Tamil. Further Malayalam/Kannada is an added advantage</li><li>Should be ready in case of any relocation</li></ul>

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Forward Deployed AI Strategist

Operator III, Packaging - 2nd Shift

DEA Manager

VP, IAM Assurance Leader

Principal Platform Engineering – Digital Integration

Chemist Data Reviewer

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Principal Data Scientist

Sales and Marketing Analyst Role

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Forward Deployed AI Strategist

Operator III, Packaging - 2nd Shift

DEA Manager

VP, IAM Assurance Leader

Principal Platform Engineering – Digital Integration

Chemist Data Reviewer

Senior Data Scientist - Machine Learning

Software Engineer In Test (SDET)

Principal Data Scientist

Sales and Marketing Analyst Role

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