engineer

ml engineer

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work 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 Machine Learning Services and Pipelines.
 
 
 
 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>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be 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 required
 </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>
 </ul>
</div>

Data Scientist

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Tera Software Limited

<div>
 
 Description
 
 
 
 
 Key Responsibilities :
 
 
 
 <ul>
 <li>
 Develop, test, and maintain high-quality Python applications.
 </li>
 <li>
 Write reusable, efficient, and optimized code.
 </li>
 <li>
 Work with frameworks such as Django or Flask for backend development.
 </li>
 <li>
 Integrate third-party APIs and data sources.
 </li>
 <li>
 Develop RESTful APIs and microservices.
 </li>
 <li>
 Debug, troubleshoot, and improve existing codebase.
 </li>
 <li>
 Collaborate with front-end developers, designers, and product teams.
 </li>
 <li>
 Ensure application performance, security, and responsiveness.
 </li>
 <li>
 Participate in code reviews and follow best coding practices.
 </li>
 <li>
 Work with databases like MySQL, PostgreSQL, or MongoDB.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and object-oriented programming.
 </li>
 <li>
 Hands-on experience with Django or Flask frameworks.
 </li>
 <li>
 Good understanding of REST APIs and microservice architecture.
 </li>
 <li>
 Experience with SQL and NoSQL databases.
 </li>
 <li>
 Knowledge of version control tools like Git.
 </li>
 <li>
 Familiarity with Linux environment and command-line tools.
 </li>
 <li>
 Good understanding of unit testing and debugging.
 </li>
 <li>
 Experience working with cloud services (AWS, Azure, GCP) is an added advantage.
 
 
 </li>
 </ul>
 
 Good To Have (AI/ML Knowledge)
 
 
 
 <ul>
 <li>
 Basic understanding of AI/ML concepts, workflows, and model lifecycle.
 </li>
 <li>
 Familiarity with libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Experience in integrating ML models into Python applications or APIs.
 </li>
 <li>
 Exposure to data preprocessing, model evaluation, or ML pipeline automation.
 
 
 </li>
 </ul>
 (ref:hirist.tech)
</div>

Tera Software - Senior Software Engineer - Python

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we empower people with better information. Our cloud analytics and data platform for AI delivers harmonized data, trusted AI, and faster innovation&mdash;enabling our customers to make confident, data-driven decisions. The world&rsquo;s leading enterprises across industries rely on Teradata to enhance performance, enrich customer experiences, and unify data across their organizations.
 
 
 
 What You'll Do
 
 
 
 As a Software Engineer on the TTU (Teradata Tools and Utilities) project, you will contribute to the development and maintenance of client-side tools that support Teradata&rsquo;s database ecosystem. These tools are essential for data movement, management, and integration, and play a critical role in customer workflows.
 
 
 
 Your responsibilities will include:
 
 
 
 Collaborating with cross-functional teams to understand requirements and translate them into technical solutions.
 
 
 Designing, developing, and maintaining features in TTU tools with a focus on performance, reliability, and usability.
 
 
 Writing clean, efficient, and maintainable code using modern development practices.
 
 
 Creating and executing unit and integration tests to ensure software quality.
 
 
 Participating in agile ceremonies including sprint planning, reviews, and retrospectives.
 
 
 Supporting product releases and resolving customer-reported issues.
 
 
 Contributing to CI/CD pipelines, automation efforts and package creation.
 
 
 Developing agent-driven testing workflows
 
 
 This is an individual contributor role reporting to an Engineering Manager. The ideal candidate is passionate about building robust software tools, AI and enjoys working in a collaborative, agile environment.
 
 
 
 Who You'll Work With
 
 
 
 
 You&rsquo;ll work closely with:
 
 
 
 Project team members including developers, testers, and architects.
 
 
 Engineering Manager and other stakeholders across product and UX teams.
 
 
 
 What Makes You a Qualified Candidate
 
 
 
 B. Tech / M. Tech in Computer Science or related field.
 
 
 1+ years of experience in software development, preferably in C, C++.
 
 
 Strong understanding of C, C++ and Python programming and data structures.
 
 
 Good knowledge of SQL and RDBMS concepts.
 
 
 Experience with multithreading and concurrent programming in C, C++.
 
 
 Exposure to Agile/Scrum methodologies.
 
 
 Understanding of test frameworks and CI/CD tools like Jenkins and Git.
 
 
 Knowledge of Teradata Database and TTU tools is an advantage.
 
 
 Bonus: Experience with AI/ML orchestration tools such as LangChain or MLflow.
 
 
 
 What You'll Bring
 
 
 
 Ability to design and implement scalable, high-performance software components.
 
 
 Strong debugging and problem-solving skills.
 
 
 Experience in writing automated tests and maintaining test coverage.
 
 
 Willingness to learn and adapt to new technologies and tools.
 
 
 Passion for building developer-centric tools and improving user experience.
 
 
 Interest in AI/ML and its integration into enterprise software is a plus.
 
 
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

NxtWave

<div>
 
 
 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), B.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/ B.tech in CSE or (Computer Science relevant branches) + Teaching Exp
 
 
 
</div>

Associate Professor

Providence India

<div>
 We are seeking a highly skilled and experienced
 
 Data Scientist
 
 with deep expertise in
 
 statistical modeling, machine learning
 
 , and data-driven decision-making. The ideal candidate will lead complex analytical projects, design robust predictive models, and collaborate cross-functionally to drive strategic insights and innovation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Apply advanced statistical techniques (e.g., hypothesis testing, Bayesian inference, time series analysis) to solve business problems.
 </li>
 <li>
 Design, build, and validate machine learning models for classification, regression, clustering, and recommendation systems.Interpret model results and communicate findings to stakeholders with clarity and impact.
 </li>
 <li>
 Collaborate with data engineers to ensure scalable data pipelines and model integration.
 </li>
 <li>
 Stay current with the latest research and trends in ML/AI and apply them to real-world problems.
 
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 Experience in causal inference, A/B testing, and experimental design.Familiarity with deep learning architectures and NLP techniques.Exposure to big data tools like Spark, Snowflake, or Databricks.Domain expertise in [e.g. healthcare] is a plus.
</div>

Senior Engineer- Data Analytics

Experian

<div>
 
 
 Company Description
 
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 
 Job Description
 
 
 
 
 Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine.
 
 
 
 
 Job Description:
 
 
 
 
 Experian's direct-to-consumer (D2C) team is seeking a talented Product Manager to own integration and product management for a
 
 unified experimentation platform
 
 that delivers
 
 customer-level holdouts
 
 and trustworthy measurement and experimentation across consumer touchpoints including but not limited to in-product, in e-mail, and call center. This role is critical to enabling ECS teams to validate product, marketing, and model changes with scientific rigor while making experimentation easy to adopt at scale.
 
 
 As the
 
 Product Manager for the Experimentation Platform
 
 , you will own the roadmap, discovery, and delivery of the platform. You'll capture and prioritize use cases, partner with engineering as the product owner, and work cross-functionally with product teams, analytics, CRM, ML, and stakeholder groups including Legal, Privacy, Finance, and Product Ops. You'll combine
 
 systems thinking
 
 (SDKs, proxies, data contracts, identity management) with a pragmatic, evidence-first approach to deliver a platform that drives better decisions and growth.
 
 
 
 
 Role And Responsibilities
 
 
 
 
 <ul>
 <li>
 Own the roadmap and backlog for the experimentation platform: global + feature holdouts, persistent assignments, mutual exclusion/layers, governance, SDK rollout and enhancements.
 </li>
 <li>
 Drive platform discovery; prioritize use cases, define success metrics, validate latency, enforce analysis.
 </li>
 <li>
 Partner with engineering teams (web, iOS/Android, CRM, data) to ship platform capabilities iteratively, starting with MVP and improving through adoption.
 </li>
 <li>
 Establish data contracts, metrics repository, and dashboards for LTV, MAU, login frequency, and long-horizon impact tracking.
 </li>
 <li>
 Define evaluation paths (SDK, proxy/relay, offline), ensuring safe and reliable assignment across channels.
 </li>
 <li>
 Consult with Legal, Privacy, InfoSec, and Finance to ensure compliance, auditability, and cost transparency.
 </li>
 <li>
 Build adoption playbooks, documentation, and "golden paths" that make it possible for product teams to safely launch an experiment in under an hour.
 </li>
 <li>
 Input into setting up a light governance to approve global holdouts, resolve conflicts, and monitor guardrails.
 </li>
 <li>
 Input into setting up a best method to share experiment learnings and ROI, demonstrating how platform adoption improves consumer and business outcomes.
 </li>
 <li>
 Work cross-functionally across different time zones to obtain stakeholder requirements
 </li>
 <li>
 You must also be able to articulate your goals and understand how to measure and interpret results
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineer, Business/Marketing, or a technical field preferred.
 </li>
 <li>
 3&ndash;5 years of product management experience, ideally in platform, data, or experimentation-related products
 </li>
 <li>
 Strong analytical mindset with hands-on experience using data to define and measure success
 </li>
 <li>
 Strong systems thinking understands SDKs, proxies/relays, caching/TTLs, and data contracts.
 </li>
 <li>
 Proven experience with Agile processes and writing detailed user stories, use cases, and edge scenarios.
 </li>
 <li>
 Strong stakeholder management skills: able to align engineers, data scientists, CRM leads, product managers, and compliance teams.
 </li>
 <li>
 Excellent written and verbal communication skills; able to articulate complex technical systems in simple terms.
 </li>
 <li>
 Track record of shipping consumer-facing features at scale.
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Experience working with globally distributed engineering teams, particularly in a co-located model.
 </li>
 <li>
 Background in subscription products, financial wellness, or regulated environments is a plus.
 </li>
 <li>
 Hands-on knowledge off experimentation/feature flag tools (Data Dog Eppo, LaunchDarkly, Optimizely, Harness Split.IO).
 </li>
 <li>
 Strong change-management skills: experience driving platform adoption and building training, documentation, and governance processes.
 
 
 </li>
 </ul>
 
 
 Additional Information
 
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Product Manager

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24 ml engineer jobs IN Hyderabad

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