AI Lead

Product Specialist

Digital Architect

Associate Software Engineer - AI/ML systems Gurugram/New York

Data Engineer / Senior / Supervisor

Senior Data Engineer

Principal/Senior Software Engineer – API Platform

QC Chemist I

Data Analyst (1 year contract)

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

Responsibilities: <ul><li>Design and build the next generation of the worlds best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.</li><li>Integrate new AI services across the platform and Aladdin application ecosystem.&nbsp;</li><li>Refine business and functional requirements and translate them into scalable technical designs.</li><li>Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.</li><li>Apply quality software engineering practices throughout the software development lifecycle.</li><li>Optimize the software delivery and workflow of the team.&nbsp;</li><li>Work with team members in a multi-office, multi-country environment.</li></ul> Requirements: <ul><li>B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.</li><li>Proficiency and hands-on experience in object-oriented programming with Java and Python.</li><li>Proficiency in designing and building scalable APIs and Microservices.</li><li>Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.</li><li>Ability to reverse engineering existing applications.</li><li>Grit in the face of technical obstacles&nbsp;</li><li>Experience working in Agile development teams with excellent collaboration skills.</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities:Data engineers need to write code to develop, maintain, and optimize data pipelines, as well as to implement data storage solutions and data processing systems. They typically use programming languages such as Python, Java, or Scala, along with big data technologies like Hadoop, Spark, and KafkaDesigning scalable data architecture that supports both transactional and analytical workloads. This involves understanding business requirements and translating them into technical solutions.Developing robust data pipelines to ingest, cleanse, transform, and aggregate data from various sources (internal and external). This includes both batch and real-time/streaming data processing.Integrating data from disparate sources and ensuring data consistency, integrity, and reliability across different systems.Requirements:5-8 years experience with GCP, Big Query, Data Fusion, Analytics Hub and DataFlowExperience leading othersExperience managing projectsExcellent written and verbal communication skillsTime ManagementAbility to work alone and with a teamAbility to mentor junior membersA Bachelor’s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience

Responsibilities:Lead the design and development of Java-based APIs from conception to deployment.Architect scalable and resilient API solutions that adhere to best practices.Collaborate with product managers, software engineers, and other stakeholders to define API requirements and specifications.Mentor and provide technical guidance to junior engineers.Conduct code reviews to ensure code quality, performance, and adherence to coding standards.Identify and address technical debt, performance bottlenecks, and scalability challenges in existing API implementations.Drive continuous improvement initiatives to enhance the reliability, scalability, and maintainability of our API ecosystem.Act as a technical subject matter expert, providing guidance and support to cross-functional teams on API-related issues and projects.Requirements:Expert level in Java JDK 11 (or later) and runtime, with a focus on Java-based API development.Proven track record of designing and implementing high-performance, scalable, and reliable APIs.Proficiency in API design principles, RESTful API design, and microservices architecture.Strong knowledge of database systems (e.g., MySQL, PostgreSQL, DynamoDB).Familiarity with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP).Excellent problem-solving skills and ability to troubleshoot complex issues in production environments.Strong communication skills with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.Experience with API security protocols and standards (e.g., OAuth, JWT, SSL/TLS).Knowledge of event-driven architecture and messaging systems (e.g., Kafka).Experience with CI/CD pipelines and automated testing frameworks.Experience with infrastructure automation tooling such as Terraform orCloudFormation.Experience with Agile methodologies and practices.What We Bring:A hybrid working model and a hyper modern and vibrant office with free breakfasts, snacks, fresh-fruit, soft drinks, coffee and tea all day long.A highly competitive rewards and benefits package.MacBooks, iPhones, multi-screen setups and any other tech you need.Innovation competitions.Patent Support and expertise.Study assistance, social and charity events, volunteering time off, in-house Uni.

Responsibilities:The Chemist I, under direct supervision, learns and performs QC laboratory chemical analyses of raw materials, in-process materials, stability and finished products, and testing to support process validation.May participate in investigations.Learns and stays current with regulatory guidances and compendia relevant to laboratories and pharmaceutical manufacturing.Conducts routine laboratory analyses: finished product testing, stability testing, raw material testing, cleaning verification testing and manufacturing in-process testing.Typical activities may include buffer/solution preparation, standard preparation and operating analytical instruments: HPLC, UV-Vis, FT-IR, GC and dissolution tester, melting point apparatus, viscometer, Karl Fischer titrator, pH meter, analytical balance, etc. Uses laboratory software for analyses.Provides general laboratory support such as routine instrument cleaning/preventative maintenance/calibration, sample receiving, chemical inventory, document filing and housekeepingCleans lab working surfaces and disposes of any excess chemicals, solutions, solvents, etc. in the special waste containers for each class of waste chemicals.Under close supervision, learns to troubleshoot basic instrument problems.With guidance, participates in OOS/OOT/NOE and other investigations.Elevates questionable sample results, OOS, and aberrant results immediately to Supervisor.May assist in drafting, editing, and reviewing SOPs and laboratory investigations.Maintains assigned training records current and in-compliance.May assist in the training of less senior laboratory staff.Performs assigned work in a timely and safe manner conforming to regulatory, company and compendiaI requirements within pharmaceutical manufacturing setting.Document accurately data generated in notebooks/worksheets/LIMS in compliance with SOPs.Follows internal processes related to controlled substances continuous.Follows EH&S procedures to ensure a safe work environment.Follows all applicable safety and standards guidelines, such as SOPs, cGMP, DEA regulations good documentation practice and/or MSDS continuous.Requirements:Minimal acceptable level of education, work experience and certifications required for the job.Bachelor of Science Degree in chemistry, chemical engineering or related field with analytical chemistry coursework required. Some pharmaceutical laboratory experience preferred.Proficiency in a body of information required for the job.e.g. knowledge of FDA regulations, GMP/GLP/GCP, Lean Manufacturing, Six-Sigma, etc.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. Basic knowledge of wet chemistry techniques.Knowledge of applicable safety and standards guidelines: SOP, cGMP, GLP, DEA regulations and/or MSDS.Competency in Microsoft Office Suite.Often referred to as “competencies”, leadership attributes, skills, abilities or behaviors that may be enterprise, functional or job specific e.g. coaching, negotiation, calibration, technical writing etc.Ability to display and analyze data in a logical manner.Good verbal and written communication skills as well as good computer skills.Attention to details and accurate record keeping.Establish and maintain cooperative working relationships with othersSolid organizational skills.Ability to take initiative, set priorities and follow through on assignments.Physical & mental requirements e.g., lift 40 pounds, walk across plant/warehouse, business travel (% of time), driving as part of work responsibilities, etc.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. Work is in an FDA and DEA-regulated pharma lab environment with risk of exposure to various chemicalsMust occasionally lift and/or move up to 15-25 lbs.Ability to wear personal protective equipment, including respirators, gloves, etc. Specific visions abilities are required by this job include close vision and color vision.Ability to occasionally tolerate significant differences in temperature and/or humidity for short periods.

Responsibilities:As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.Definition of the feasibility and implementation of use casesUnderstanding business needs and translate them to technical termsDeveloping, adapting, and executing reports for different markets/deployment as neededModelization, packaging and making assets available for key usersOwning and managing the solutions, app, workspace, and reports repositoryRequirements:Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualizationExploratory data analysisExperience in data visualization, knowledge or interest in Power BIProficiency in web frameworks knowledge appreciatedPython, R, Microsoft SQL Server, GCP knowledge are a MUSTFamiliar with MLOps tools: MLFlow, DVC, or similar frameworks.SAP ECC and Supply Chains domains knowledge appreciated

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9 gcp Jobs found

AI Lead

Product Specialist

Digital Architect

Associate Software Engineer - AI/ML systems Gurugram/New York

Data Engineer / Senior / Supervisor

Senior Data Engineer

Principal/Senior Software Engineer – API Platform

QC Chemist I

Data Analyst (1 year contract)

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Skills

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9 gcp Jobs found

AI Lead

Product Specialist

Digital Architect

Associate Software Engineer - AI/ML systems Gurugram/New York

Data Engineer / Senior / Supervisor

Senior Data Engineer

Principal/Senior Software Engineer – API Platform

QC Chemist I

Data Analyst (1 year contract)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.