ai/ml lead

lead - captive operations Jobs in Hyderabad

lead - captive operations

ai ml lead

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

Genpact

<div>
 
 
 
 Ready to build the future with AI?
 
 
 
 
 
 
 
 At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.
 
 
 
 
 If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.
 
 
 
 
 Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation
 
 
 
 ,
 
 
 
 our teams implement
 
 
 
 
 
 
 data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
 
 
 
 
 
 
 Inviting applications for the role of
 
 Assistant Vice President, AI ML Lead!
 
 
 
 
 
 
 In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquo;s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools.
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop transformative AI/ML solutions to address our clients' business requirements and challenges
 </li>
 <li>
 Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning
 </li>
 <li>
 Manage Stakeholder/Customer Expectations
 </li>
 <li>
 Project Blue Printing and Project Documentation
 </li>
 <li>
 Creating Project Plan
 </li>
 <li>
 Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.
 </li>
 <li>
 Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines
 </li>
 <li>
 Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.
 </li>
 <li>
 Work with digital development teams to integrate and transform these algorithms into production quality applications
 </li>
 <li>
 Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications we seek in you!
 
 
 
 Minimum Qualifications / Skills
 
 <ul>
 <li>
 MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
 </li>
 <li>
 Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience
 </li>
 <li>
 Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology &amp; Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technology
 
 
 <ul>
 <li>
 Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS
 </li>
 <li>
 Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner
 </li>
 <li>
 Strong Core Java experience in large scale product development and functional knowledge of RDBMs
 </li>
 <li>
 Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing
 </li>
 <li>
 Very good python/R programming skills. Java programming skills a plus
 </li>
 </ul>
 
 
 Methodology
 
 
 <ul>
 <li>
 Relevant years of experience in Solutioning &amp; Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data
 </li>
 <li>
 A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU
 </li>
 <li>
 Exposed to concepts in Natural Language Processing &amp; Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc
 </li>
 <li>
 Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client&rsquo;s analytics agenda with newer tools and techniques
 </li>
 </ul>
 
 
 
 Preferred Qualifications/ Skills
 
 
 
 Technology
 
 
 <ul>
 <li>
 Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods
 </li>
 <li>
 OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL
 </li>
 <li>
 UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3
 </li>
 <li>
 Linux, Windows, GPU Experience
 </li>
 <li>
 Spark, Scala for distributed computing
 </li>
 <li>
 Deep learning frameworks such as TensorFlow, Keras, Torch, Theano
 </li>
 </ul>
 
 
 Methodology
 
 
 <ul>
 <li>
 Social Network modeling paradigms, tools &amp; techniques
 </li>
 <li>
 Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis
 </li>
 <li>
 Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner
 </li>
 <li>
 Ability to Prioritize, Consultative mindset &amp; Time management skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 Why join Genpact?
 
 
 
 
 
 <ul>
 <li>
 
 
 Lead AI-first transformation
 
 
 
 &ndash; Build and scale AI solutions that redefine industries
 
 </li>
 <li>
 
 
 Make an impact
 
 
 
 &ndash; Drive change for global enterprises and solve business challenges that matter
 
 </li>
 <li>
 
 
 Accelerate your career
 
 
 
 &mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
 
 </li>
 <li>
 
 
 Grow with the best
 
 
 
 &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
 
 </li>
 <li>
 
 
 Committed to ethical AI
 
 
 
 &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build
 
 </li>
 <li>
 
 
 Thrive in a values-driven culture
 
 
 
 &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
 
 </li>
 </ul>
 
 
 Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
 
 
 
 
 Let&rsquo;s build tomorrow together.
 
 
 
 
</div>

Assistant Vice President - AI ML Lead

Costco IT

<div>
 
 
 About Costco Wholesale
 
 
 
 Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.
 
 
 
 
 
 
 About Costco Wholesale India
 
 
 
 At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members&rsquo; experiences and make employees&rsquo; jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.
 
 
 
 
 
 
 Position Title: Product Owner 4
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Define the long-term vision and strategy for the organization&rsquo;s data and AI product portfolio: Set the direction for innovation, growth, and transformation through data-driven and AI-powered solutions.
 </li>
 <li>
 Provide technical and strategic guidance, mentorship, and career development for other product owners.
 </li>
 <li>
 Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in data, ML, and AI, and evaluate their potential for the organization.
 </li>
 <li>
 Drive innovation and the development of novel data and AI products: Lead efforts, prototype new approaches, and oversee implementation of advanced data and AI solutions.
 </li>
 <li>
 Collaborate with executive leadership on strategic decision-making: Align product initiatives with business objectives and organizational priorities.
 </li>
 <li>
 Establish and enforce product standards and best practices: Ensure quality, user-centricity, and business impact of data and AI products across the organization.
 </li>
 <li>
 Develops a Product portfolio roadmap with defined milestones along with value derivable.
 </li>
 <li>
 Develops a structured Business/Products Requirements Document (B/P RD) with clear feature level requirements.
 </li>
 <li>
 Represent the organization in external product and data communities: Speak at conferences, publish thought leadership, and build partnerships with academia and industry.
 </li>
 <li>
 Defines the sprint plan in Azure Dev Ops (ADO) based on the priority outlined within the overall product vision and roadmap to present in Product Increment (PI) Planning sessions.
 </li>
 <li>
 Supports data science technology strategy by forming a backlog of features and user stories for use by the delivery team.
 </li>
 <li>
 Articulates requirements for each user story with detailed acceptance criteria.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 12+ years of experience in Product management or Product Owner role
 </li>
 <li>
 Mastery of product management and agile methodologies: Lead vision, strategy, and execution for complex data and AI product portfolios.
 </li>
 <li>
 Deep expertise in data, ML, and AI products: Advanced understanding of data pipelines, ML model deployment, and AI feature integration at scale.
 </li>
 <li>
 Significant experience in designing and launching high-impact data and AI products: Proven track record of delivering business value through data-driven and AI-powered solutions.
 </li>
 <li>
 Strong leadership and team management skills: Build, mentor, and lead high-performing product teams.
 </li>
 <li>
 Excellent strategic thinking and problem-solving abilities: Translate business challenges into innovative, scalable product solutions.
 </li>
 <li>
 Exceptional communication and influencing skills: Advocate for product initiatives, influence executive decisions, and represent the organization externally through conferences, publications, and industry engagement
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Product strategy &amp; roadmap leadership (data/AI domain)
 </li>
 <li>
 Experience with ML/AI products, pipelines, and deployment at scale with a proven track record of delivering business value through data-driven and AI powered solutions.
 </li>
 <li>
 Agile product management &amp; cross-functional team leadership
 </li>
 <li>
 Strong stakeholder communication and executive alignment skill.
 </li>
 <li>
 Experience with GitHub, ADO, GCP.
 </li>
 </ul>
</div>

Product Owner 4 - AI/ML [T500-20228]

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Data Quality - Supervisor
 
 
 
 As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management&mdash;ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Data Quality Strategy &amp; Leadership:
 
 
 <ul>
 <li>
 Define and lead the implementation of enterprise data quality frameworks, standards, and operating models.
 </li>
 <li>
 Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions.
 </li>
 <li>
 Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives.
 </li>
 </ul>
 
 
 
 
 
 Cloud Platform &amp; Data Ecosystem Integration:
 
 
 <ul>
 <li>
 Design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments.
 </li>
 <li>
 Integrate data quality validation and monitoring into data ingestion, transformation, and AI / ML pipelines.
 </li>
 <li>
 Oversee automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines.
 </li>
 </ul>
 
 
 
 
 
 Tooling &amp; Automation:
 
 
 <ul>
 <li>
 Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks).
 </li>
 <li>
 Integrate data quality metrics and rules with
 
 Collibra
 
 or similar governance platforms for lineage, stewardship, and policy enforcement.
 </li>
 <li>
 Ensure quality rules are version-controlled, modular, and adaptable for new data domains.
 </li>
 </ul>
 
 
 
 
 
 Operations &amp; Incident Management:
 
 
 <ul>
 <li>
 Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution.
 </li>
 <li>
 Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams.
 </li>
 <li>
 Ensure compliance with internal standards and external regulations (e.g., GDPR, CCPA, HIPAA).
 </li>
 </ul>
 
 
 
 
 
 Team Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead a team of data quality engineers and analysts to implement and scale quality controls.
 </li>
 <li>
 Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development.
 </li>
 <li>
 Present strategic insights, trends, and risks to senior leadership and data councils.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 4-7 years of experience in data quality, data governance, or data operations, with at least 3 years in a leadership role.
 </li>
 </ul>
 
 
 
 
 
 Proven experience with:
 
 
 <ul>
 <li>
 Data quality tooling and validation frameworks
 </li>
 <li>
 Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3)
 </li>
 <li>
 Scripting in SQL and Python for custom checks, validation jobs, and automation
 </li>
 <li>
 Data quality integration with governance platforms such as Collibra
 </li>
 <li>
 Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues.
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions.
 </li>
 <li>
 Familiarity with AI/ML pipelines and how upstream data quality affects model performance.
 </li>
 <li>
 Understanding of data mesh, domain-based ownership, and federated data quality models.
 </li>
 <li>
 Current GCP Associates (or Professional) Certification.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Supervisor, Data Operations & Management - Data Quality Engineering Support [T500-20081]

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 
 Overview
 
 
 
 PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomes&mdash;without managing the underlying AI platforms.
 
 
 
 Responsibilities
 
 
 
 
 AI Transformation Strategy &amp; Road mapping
 
 
 
 Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases.
 
 
 Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda.
 
 
 Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap.
 
 
 
 Solution Design &amp; Cross-Functional Orchestration
 
 
 
 Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo.
 
 
 Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing &amp; R&amp;D.
 
 
 Architect and design future AI solutions leveraging agentic frameworks.
 
 
 Collaborate with engineering teams to provide the necessary features for building.
 
 
 Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture.
 
 
 
 Leadership, Influence, and Governance
 
 
 
 Act as the face of Generative AI solutioning for senior executives and transformation leaders.
 
 
 Drive alignment across global and regional teams for solution design, prioritization, and scale-up.
 
 
 Provide technical leadership and mentorship to the AI engineering team.
 
 
 Stay up to date with the latest advancements in AI and related technologies.
 
 
 Drive innovation and continuous improvement in AI platform development.
 
 
 Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs.
 </li>
 <li>
 Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting).
 </li>
 <li>
 Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal.
 </li>
 <li>
 Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation.
 </li>
 <li>
 Proven success in change management, stakeholder engagement, and global rollout of strategic programs.
 </li>
 <li>
 Excellent communication and influences
 </li>
 </ul>
</div>

Associate Director, Generative AI

NxtWave

<div>
 
 
 Job Description:
 
 
 
 At NIAT, we believe in delivering practical, industry-relevant training that empowers students to become great developers. Our product developers are passionate about teaching, simplifying complex concepts, and creating inclusive learning environments for students. This is your chance to make a lasting impact on students who have just completed their 12th standard and are eager to excel as developers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deliver daily in-person classroom training on programming and/or full-stack development.
 </li>
 <li>
 Design, develop, and implement learning activities, materials, and resources that align with industry standards.
 </li>
 <li>
 Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program.
 </li>
 <li>
 Actively assist and resolve student queries and issues promptly, providing mentorship and guidance.
 </li>
 <li>
 Contribute to curriculum development and improvements based on student feedback and industry trends.
 </li>
 <li>
 Continuously develop and demonstrate a teaching philosophy that inspires student learning.
 </li>
 <li>
 Review student deliverables for accuracy and quality.
 </li>
 <li>
 Handle a class size of 70-100 students, ensuring engagement and effective learning outcomes.
 </li>
 <li>
 Stay current with professional development in both pedagogy and software development practices
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 A Masters degree (M.Tech) in CSE, IT, Data science,AI/ML,Software Engineer etc will be an added advantage.
 </li>
 <li>
 Having teaching or training experience in Computer Science is an added advantage.
 </li>
 <li>
 Passion for teaching and mentoring, with a commitment to student success.
 </li>
 <li>
 Alignment with NxtWaves vision and culture.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Skills Must-Have:
 
 
 <ul>
 <li>
 Professional fluency in English, with excellent communication and presentation skills.
 </li>
 <li>
 Strong proficiency in Python, Java, and JavaScript programming languages. Knowledge of additional programming languages is an added advantage.
 </li>
 <li>
 Strong proficiency in Data Structures and Algorithms.
 </li>
 <li>
 Strong knowledge of object-oriented programming.
 </li>
 <li>
 Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus).
 </li>
 <li>
 Ability to quickly learn and use technology platforms to interact with students.
 </li>
 <li>
 Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Familiarity with Git and version control systems.
 </li>
 <li>
 Strong knowledge of the subject matter, industry standards, and best practices in software development.
 </li>
 <li>
 Ability to adapt teaching methods to various learning styles &amp; requirements.
 </li>
 <li>
 Strong problem-solving and solution-seeking mindset.
 </li>
 <li>
 Openness to constructive feedback and continuous improvement.
 </li>
 <li>
 A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes.
 </li>
 </ul>
 
 
 
 Job Overview:
 
 
 
 
 
 Working days:
 
 6 days a week
 
 
 
 Industry Type:
 
 Education / Training
 
 
 
 Department:
 
 CSE
 
 
 
 Education PG:
 
 M.Tech in CSE or (Computer Science relevant branches)
 
 
 
</div>

Software Development Faculty Trainee

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