Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

PML Programmer

AI Lead

Product Specialist

Testing QA

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

Responsibilities: <ul><li>Review and confirm the test specification of new projects. Evaluate the test requirement of new projects.</li><li>Design and set up test systems for new projects.</li><li>Work with US team for test issues.</li><li>Control all testing equipment and fixtures for electrical lab.</li><li>Monitor all electrical testing process.</li><li>Prepare testing plan. Review test results.</li><li>Ensure test data integrity and proper reporting.</li><li>Solve problems on test.</li><li>Define test methods for new projects, deliver the new test methods to technicians and operators.</li><li>Get training from outside and deliver it inside.</li><li>Improve test process.</li><li>Support on lab management improvement. Develop the test capacity of the electrical test lab.</li></ul> Requirements: <ul><li>Bachelor’s degree, preferably major in electronic information technology or computer.</li><li>Adept in hardware test methodologies, especially for electrical and SI test.&nbsp;</li><li>Good experience in C#, Python or VB, can create software to do test/analysis easier.</li><li>Adept in test equipment: TDR (Time Domain Reflectometer), NA (Network Analyzer), Oscillograph, Data Timing Generator, LCR Meter, Hi-pot, Milliohm Meter, Microohm Meter, Megohm Meter, Thermal Chamber.</li><li>Adept in signal integrity test. Familiarity with the elements and testing methods of Insertion Loss, Impedance, Return Loss, Time Delay Skew, SCD21.......</li><li>Familiarity with the product verification testing. Good experience in setting up new test system, drafting test plans and documents.</li><li>Good measurement capability and analysis capability.&nbsp;</li><li>Familiarity with standards and products, such as QSFP, SFP+, PCI-E, DisplayPort, HDMI, SATA, Minis-SAS, USB…</li><li>Adept in MSA.</li><li>Fluent English both in verbal and written.</li><li>Strong PC skills. Adept in hardware and software. Adept in MS Office.</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: Leadership and Management The Business Intelligence Manager will oversee all activities that optimize the value, cost and risk of BI/analytics applications: <ul><li>Independently lead and deliver a few analytics projects at a time. Acts as the analytics translator and negotiator between the business and data teams.</li><li>Work with BU CIOs and collaborate with other IT leaders to develop overall IT strategy in the context of the business strategy.</li><li>Develop productive relationships with business leaders across the organization to influence how BI/analytics applications can enable new sources of value.</li><li>Define and enhance methodologies and practices for the application life cycle management in line with best practice and practical experience of continuous improvement.</li><li>Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings</li><li>Assist in managing analytics group personnel and in developing their skills and capabilities to meet the needs of the organization.</li><li>Implement and manage application life cycle management status reporting, metrics, and benchmarks.</li></ul> Behaviors and Competencies The Business Intelligence Manager acts in a leadership role and must demonstrate the following leadership attributes: <ul><li>The ability to uphold the goals and culture of the organization.</li><li>The ability to lead, enable and motivate teams by providing advice and guidance in an inclusive fashion.</li><li>An understanding of strategic business objectives and the ability to drive results toward those objectives.</li><li>Openness to, and the ability to deal with, rapid change in business needs, processes, and technologies.</li></ul> Requirements: Skills The Business Intelligence Manager must be able to demonstrate the following: <ul><li>Strong communication skills with a proven ability to understand key concepts and communicate effectively with all levels of staff.</li><li>Proven ability to communicate technical concepts to nontechnical people to enhance understanding and drive decisions that lead to positive outcomes.</li><li>Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix-management environment.&nbsp;</li><li>Strong organizational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources.</li><li>Strong analytical, data-processing and problem-solving skills.</li><li>Proficiency in process formulation and improvement.</li><li>Ability to operate and perform in a fast-paced environment managing few projects at a time</li></ul> Knowledge The Business Intelligence Manager must have an in-depth knowledge and experience of the following: <ul><li>Experience with data science, RPA, data visualization tools like Tableau and Power BI, UiPath and Python&nbsp;</li><li>IT BI/analytics applications, operations, service, and support organizations.</li><li>Data processing, analysis, and quality management tools.</li><li>Development and implementation of processes and policies.</li><li>Lean IT, agile development, and DevOps principles and frameworks.</li></ul> Experience The following experience is considered essential: <ul><li>Leading a team of at least 20 members in application development, implementation, or management.</li><li>Total 10+ years experience.</li><li>3-5+ years of experience in Software design/development, application architecture, project management, software as a service (SaaS), data management/governance, business intelligence and business process analysis.</li><li>3-5+ years of demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients.</li><li>5+ years of demonstrated experience in liaising with middle and senior management.&nbsp;</li><li>The following experience is considered desirable but not mandatory:</li><li>3-5+ years of experience working in the Manufacturing / Hi-Tech industry.</li><li>3-5+ years of experience in managing external IT service providers.</li><li>3-5+ years of experience managing the risk and cost implications of IT contracts or contract negotiations.</li><li>Membership of professional organizations, trade or user groups and a pattern of regular attendance at industry conferences to enhance knowledge of current technology.</li></ul> Education and Training <ul><li>An undergraduate or postgraduate degree in computer science, engineering, business management or a related field</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

Role Description:&nbsp; <ul><li>A PML Programmer will be responsible for the administration, configuration, and support of the AVEVA E3D software platform.&nbsp;</li><li>The ideal candidate will have strong expertise in PML, C#, and Python, with additional programming languages being advantageous if the candidate is proficient in them. In addition, experience in macro generation and customization of the user interface is preferred.</li></ul> Responsibilities:&nbsp; <ul><li>Development: Design, develop, and maintain applications using PML, C# coding, including Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID and other related software.</li><li>Customization: Customize Aveva applications to meet specific project requirements, including the development of macros, scripts, and plugins.</li><li>Integration: Integrate Aveva tools with other enterprise systems and software, ensuring seamless data flow and interoperability.</li><li>Support: Provide technical support and troubleshooting for Aveva applications, resolving issues promptly to minimize downtime.</li><li>Documentation: Create and maintain detailed technical documentation for developed solutions, including user manuals, technical specifications, and workflow diagrams.</li><li>Collaboration: Work closely with project managers, engineers, and other stakeholders to gather requirements, provide status updates, and ensure successful project delivery.</li><li>Training: Conduct training sessions for end-users and team members on Aveva tools and developed solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science/Engineering or a related field</li><li>Proven experience in developing and customizing applications using PML 1 &amp; 2, PMLNET, C#, .NET Framework. (Must Have)</li><li>Experience with Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID, TEKLA and other related software.</li><li>Experience with SQL databases and writing complex queries.</li><li>Experience with CAD software and 3D modeling.</li></ul> Other Requirements: <ul><li>Object Oriented design and development. (Must have)</li><li>Microsoft .NET Framework 4.5+, WPF, WCF. (Must have)</li><li>Expert in creation of Standalone application to do scheduled tasks combination of SQL, SAP data and Dabacon database. (Must have)</li><li>Knowledge of industry standards and best practices in engineering and design. (Must have)</li><li>Strong programming skills in languages such as C#, VB.NET, Python, or similar.</li><li>Windows Application Development using .NET WinForms.</li><li>Familiarity with cloud platforms and services such as AWS or Azure.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Ability to work independently as well as collaboratively in a team environment.</li><li>Strong communication and interpersonal skills.</li></ul>

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>

The Role: <ul><li>Responsible for testing applications to meet business process and application requirements. Your typical day will involve working on functional test planning and ensuring the quality of the application.</li></ul> Responsibilities: <ul><li>Develop and execute functional test plans for applications to ensure the quality of the application.</li><li>Collaborate with cross-functional teams to test applications to meet business process and application requirements.</li><li>Identify and troubleshoot application issues, working with the development team to resolve them.</li><li>Ensure the application meets the required standards.</li></ul> Requirements: <ul><li>Min 3 years of Experience in functional test planning.</li><li>Experience in software development and programming languages such as Java or Python</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Experience with Azure DevOps tool for managing tests and bugs.</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>

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19 python Jobs found

Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

PML Programmer

AI Lead

Product Specialist

Testing QA

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

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Skills

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19 python Jobs found

Signal Integrity Test Engineer

Data Scientist

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Sr. Generative AI Engineer

PML Programmer

AI Lead

Product Specialist

Testing QA

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

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

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