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AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

Senior Data Scientist

ITC Infotech

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 Location : Bangalore
 
 
 
 
 Mode: Hybrid
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team.
 </li>
 <li>
 The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions.
 </li>
 <li>
 You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
 </li>
 </ul>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy ML and AI models on the Azure ecosystem. &iquest; Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
 </li>
 <li>
 Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
 </li>
 <li>
 Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other Azure-native services for generative AI use cases.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
 </li>
 <li>
 Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
 </li>
 <li>
 Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills &amp; Qualifications
 </li>
 <li>
 Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks.
 </li>
 <li>
 Strong background in NLP, NLG, LLMs, and generative AI frameworks.
 </li>
 <li>
 Experience with unstructured data pipelines and feature engineering.
 </li>
 <li>
 Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
 </li>
 <li>
 Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable.
 </li>
 <li>
 Strong problem-solving, analytical, and innovation skills.
 </li>
 <li>
 Excellent communication and storytelling ability to present AI solutions to stakeholders.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications
 </li>
 <li>
 Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
 </li>
 <li>
 Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
 </li>
 <li>
 Familiarity with MLOps frameworks for productionizing AI models.
 </li>
 </ul>
</div>

Zynga

<div>
 
 Level Up Your Career with Zynga!
 
 
 
 At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times&mdash;connecting players in 175+ countries through fun, strategy, and a little friendly competition.
 
 
 From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille&trade;, Words With Friends&trade;, Zynga Poker&trade;, Game of Thrones Slots Casino&trade;, Wizard of Oz Slots&trade;, Hit it Rich! Slots&trade;, Wonka Slots&trade;, Top Eleven&trade;, Toon Blast&trade;, Empires &amp; Puzzles&trade;, Merge Dragons!&trade;, CSR Racing&trade;, Harry Potter: Puzzles &amp; Spells&trade;, Match Factory&trade;, and Color Block Jam&trade;&mdash;plus many more!
 
 
 Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation&mdash;and where you can take your career to the next level.
 
 
 Join us and be part of the play!
 
 
 We're searching for a Senior Product Manager (SPM) on our Data Platform team who can help drive the team&rsquo;s product vision and strategy. The SPM will work closely with Data Consumers across the organization to understand their technological and data needs to help build the best in class Data products for Zynga games, ensuring that Data Scientists, Analysts (DSA)and various other data consumers are empowered to effectively and efficiently meet their business objectives.
 
 
 For achieving these objectives your charter can include (but not limited to):
 
 
 <ul>
 <li>
 Developing data products such as data ingestion systems, foundational ETLs and datamart.
 </li>
 <li>
 Implementing and improving upon data governance, observability and quality tools and frameworks.
 </li>
 <li>
 Ensuring the necessary infrastructure is in place to enable existing and future data use cases
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Establish the product vision and strategy that will help improve DSA operations across our business.
 </li>
 <li>
 Develop the product roadmap and build alignment on prioritization which drives product execution.
 </li>
 <li>
 Partner with a wide variety of data consumers to understand user needs and establish. success criteria with clearly measurable objectives and key results to deliver a great end-user experience.
 </li>
 <li>
 Be or become an expert in enterprise data strategies and technologies including key vendors in the space, pros and cons of competing approaches, and trade-offs involved with different strategies.
 </li>
 <li>
 Partner with a world-class, globally distributed team of Data Engineers to execute on product deliverables and deliver on the team&rsquo;s mission.
 </li>
 <li>
 Innovating on novel opportunities to unlock new data-driven insights and applications to create business value across different functions and levels.
 </li>
 <li>
 Develop go-to-market and support strategies for globally distributed client teams across different studios
 </li>
 <li>
 Define and analyze metrics that inform product success &amp; health.
 </li>
 <li>
 Communicate concisely and influence outcomes.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Strong analytical and problem solving skills are a must with a Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Master's degree or Ph.D. preferred..
 </li>
 <li>
 8+ years of experience in data product management, product management, or related field.
 </li>
 <li>
 A track record for high performance and team/project leadership.
 </li>
 <li>
 A technical undergraduate degree and/or equivalent work experience in highly technical environment. Technical understanding must go from the highest abstractions down to the metal.
 </li>
 <li>
 Proven experience delivering highly successful products with your fingerprints all over them - you&rsquo;re extremely proud of what you&rsquo;ve accomplished.
 </li>
 <li>
 Experience building and launching data products and global data platforms at scale.
 </li>
 <li>
 Demonstrated experience with scoping projects, collecting requirements, creating product specifications, carrying features from ideation to deployment.
 </li>
 <li>
 Good knowledge of agile software development methodologies and software development life cycle.
 </li>
 <li>
 Demonstrated experience in collaborating across global teams in different organizations.
 </li>
 <li>
 Demonstrated capacity for developing and understanding strategy.
 </li>
 <li>
 Excellent communication, leadership, and project management skills.
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the
 
 Zynga Benefits
 
 
 
 We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic &ndash; not an individual&rsquo;s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
 
 
 As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position.
 
 
 Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga&rsquo;s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
 
 
</div>

Senior Product Manager(Data Platform)

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimised for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
 
 
 Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
 
 
 About the team:
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 Responsibilities:
 
 
 We inform product strategy, influence the product roadmap, and guide product decisions by:
 
 
 <ul>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
 <li>
 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
 <li>
 Designing and analyzing experiments to test new product ideas.
 </li>
 <li>
 Developing models and data-driven solutions that add material lift to principal performance metrics.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 5+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 5+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ablility to communicate findings clearly to both technical and non-technical audiences
 </li>
 <li>
 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in
 </li>
 <li>
 International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 The Partner Solution Engineering Manager will have deep expertise in LinkedIn&rsquo;s API products and technical solutions. You will manage a global team of solution engineers and work closely with LinkedIn&rsquo;s business development, product &amp; engineering teams at LinkedIn to scale our enterprise partner offerings for our mutual customers. You will develop strong relationships with internal stakeholders to launch new API products and help enterprise partners integrate. You will drive adoption of LI&rsquo;s API products in the talent marketplace by managing a portfolio of high touch enterprise partners or lead product adoption across a broad base. You will be responsible for strategic planning and performance management. You should understand feature gaps in API, product, or partner offering and build solutions to address gaps and drive client success. Your team should understand and document the enterprise partner&rsquo;s technical implementation nuances. Facilitate enterprise partners with onboarding, provide technical development and coding support, and provide guidance to partners during beta and pre-launch activities. You should also bring innovation with respect to automating partner onboarding experience.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will manage the performance and career development of a team of Solutions engineers, and own significant parts of scaling and adoption for LinkedIn API products.
 </li>
 <li>
 You will participate with senior management in developing a long-term integration partnership &amp; platform roadmap.
 </li>
 <li>
 You will be a role model and professional coach for solutions engineers with a strong bias for action and focus on craftsmanship.
 </li>
 <li>
 You will work with peers across teams to support and leverage a shared integration platform feature set.
 </li>
 <li>
 You will represent the voice of partners and lastly influence leadership to help understand industry trends &amp; partner platforms.
 </li>
 <li>
 You will ensure high quality monitoring of data and integration quality by operationalizing processes to detect abusive partners and revoke access.
 </li>
 <li>
 You will provide guidance &amp; execution of partner onboarding, development sandbox &amp; certification automation areas.
 </li>
 <li>
 You will improve adoption scale &amp; operation efficiency of partner engagements
 </li>
 <li>
 You will showcase strong leadership in release management
 </li>
 <li>
 You will provide high-quality solution consultation on industry standards for partner onboarding &amp; support experience
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
 </li>
 <li>
 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training
 </li>
 <li>
 5+ years of industry experience in software design, development, and large-scale software engineering
 </li>
 <li>
 Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.)
 </li>
 <li>
 Experience in creation and execution of API product, platform &amp; partner strategy and roadmap
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 MS or PhD in Computer Science or related technical discipline
 </li>
 <li>
 2+ years of hands-on software engineering/technical management and people management experience
 </li>
 <li>
 7+ years industry experience in software design, development, and algorithm related solutions.
 </li>
 <li>
 5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
 </li>
 <li>
 Actively coached, mentored and grew team members in their careers
 </li>
 <li>
 Released several large-scale API products with dependencies across multiple teams spread out geographically.
 </li>
 <li>
 Exceptional written, presentation, and oral communication skills, with the ability to create and present solutions to partners.
 </li>
 <li>
 Experience working with cloud platforms such as Azure and AWS
 </li>
 <li>
 Strong understanding of Partnerships and Business Development
 </li>
 <li>
 Passion for creating and sharing developer-focused content online or at events.
 </li>
 <li>
 Deep understanding of developer ecosystems and developer communities
 </li>
 <li>
 Experience working with legal and policy teams while developing software solutions
 </li>
 <li>
 Experience integrating enterprise services, either as a consumer or provider
 </li>
 <li>
 Experience managing external partners/customers and collaborating with product, business development, and engineering teams.
 </li>
 <li>
 Effective communication skills and ability to collaborate with cross-functional teams
 </li>
 <li>
 Previous experience in talent management &amp; hiring integrations background is a big plus
 </li>
 <li>
 Good understanding of System Design &amp; Application Development, Distributed Systems,
 </li>
 <li>
 Experience with HTTP &amp; REST APIs, API Gateway, and API Security (e.g., OAuth2, OpenID Connect
 </li>
 <li>
 Understanding of Developer Support &amp; Tooling (Technical Documentation, Postman, SDKs, Operational Support)
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Partnerships &amp; Business Development
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 People Management
 </li>
 <li>
 Stakeholder Management
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Manager, Partner Solutions Engineering

KPMG India

<div>
 
 
 Job Summary &ndash; Copilot Developer:
 
 
 
 We are seeking a skilled and innovative Copilot Developer to design, build, and deploy intelligent Copilot agents using Microsoft technologies. The ideal candidate will have a strong background in AI, automation, and enterprise integration, and will work closely with solution architects, business stakeholders, and technical teams to deliver impactful, user-centric solutions.
 
 
 
 
 
 
 Detailed job description:
 
 
 
 As a Copilot Developer, you will play a critical role in designing, developing, and deploying intelligent Copilot agents that enhance user productivity and automate business processes across the enterprise. Leveraging Microsoft Power Platform, Azure OpenAI, and other modern technologies, you will build AI-powered solutions that integrate seamlessly with enterprise systems and deliver contextual, conversational experiences.
 
 
 The ideal candidate is a hands-on developer with a problem-solving mindset, a deep understanding of Microsoft&rsquo;s AI ecosystem, and the ability to work in agile, fast-paced environments. You will be instrumental in shaping how AI is adopted across the organization, driving innovation and delivering measurable business value.
 
 
 
 
 
 Accountabilities:
 
 
 <ul>
 <li>
 Design and develop Copilot agents using Microsoft Power Platform, Azure OpenAI, and related technologies.
 </li>
 <li>
 Implement prompt engineering, orchestration logic, and backend integrations to support intelligent workflows.
 </li>
 <li>
 Integrate Copilot agents with enterprise systems such as Microsoft 365, Dynamics 365, SAP, Salesforce, and internal APIs.
 </li>
 <li>
 Ensure seamless data flow, security, and compliance across integrated platforms.
 </li>
 <li>
 Work closely with Business Solution Architects, UX designers, and project teams to translate requirements into functional solutions.
 </li>
 <li>
 Participate in agile ceremonies, sprint planning, and code reviews to ensure high-quality deliverables.
 </li>
 <li>
 Conduct unit testing, performance tuning, and error handling for Copilot agents.
 </li>
 <li>
 Monitor agent performance and user feedback to drive continuous improvement.
 </li>
 <li>
 Create technical documentation, user guides, and support materials.
 </li>
 <li>
 Provide post-deployment support and enhancements based on user needs and business feedback.
 </li>
 </ul>
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 5&ndash;10 years of experience in software development or automation.
 </li>
 <li>
 Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power Pages).
 </li>
 <li>
 Experience with Azure OpenAI, LLMs, or other conversational AI tools.
 </li>
 <li>
 Strong understanding of REST APIs, data integration, and enterprise architecture.
 </li>
 <li>
 Proficiency in scripting languages (e.g., Power Fx, JavaScript, Python) and version control systems (e.g., Git).
 </li>
 </ul>
 
 
 Preferred:
 
 
 <ul>
 <li>
 Microsoft certifications in Power Platform or Azure AI.
 </li>
 <li>
 Experience with frameworks like Semantic Kernel, LangChain, or AutoGen.
 </li>
 <li>
 Familiarity with agile development methodologies and DevOps practices.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 </ul>
 
 
</div>

Copilot Developer

Capgemini

<div>
 
 Job Description - Grade Specific
 
 
 
 
 Python Developer (with CI/CD; Kubernetes)
 
 
 
 
 Location :-Bangalore
 
 
 
 
 Experience :- Minimum 5+ years
 
 
 
 Join our dynamic team as a Python Developer specializing in CI/CD and Kubernetes. This role involves designing and implementing scalable, secure, and efficient solutions using modern DevOps practices and container orchestration technologies. You will work closely with cross-functional teams to deliver high-quality software solutions that support our IT infrastructure and operations.
 
 
 Your Role
 
 
 As a Python Developer, you will:
 
 
 <ul>
 <li>
 Design and implement CI/CD pipelines using Jenkins, GitHub, GitLab, and other DevOps tools.
 </li>
 <li>
 Develop and maintain Python applications for IT infrastructure and data science solutions.
 </li>
 <li>
 Utilize Docker and Kubernetes for containerization and orchestration.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and deliver solutions.
 </li>
 <li>
 Ensure system performance, reliability, and security across development and production environments.
 </li>
 <li>
 Apply best practices in software engineering, including automated testing and application lifecycle management.
 </li>
 <li>
 Support virtualization and cloud-based deployments.
 
 
 </li>
 </ul>
 Your Profile
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in Python development with a focus on CI/CD and Kubernetes.
 </li>
 <li>
 Strong understanding of DevOps practices and containerization technologies.
 </li>
 <li>
 Experience with tools such as Jenkins, Docker, GitHub, GitLab, and Kubernetes.
 </li>
 <li>
 Proficiency in multi-paradigm programming and application lifecycle management.
 </li>
 <li>
 Knowledge of IT infrastructure, operations, and system administration.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Mathematics, or related field.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 We offer a collaborative and innovative work environment where you can grow your skills and contribute to impactful projects. Our team values flexibility, continuous learning, and a strong commitment to excellence in software development and IT operations.
 
 
 
 About Us
 
 
 
 We are a forward-thinking organization dedicated to leveraging technology to drive business success. Our team of professionals works across domains including software engineering, data science, and IT infrastructure to deliver cutting-edge solutions. Join us to be part of a culture that values innovation, integrity, and continuous improvement.
</div>

Python Developer

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Senior Data Scientist

Senior Data Scientist

Senior Product Manager(Data Platform)

Senior Data Scientist

Manager, Partner Solutions Engineering

Copilot Developer

Python Developer