engineer

manufacturing engineer

ai ml engineer

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>
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 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>
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
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 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>
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 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>
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 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>

Data Scientist

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 PHD candidates are preferred
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Sr Data Scientist

SWITS DIGITAL Private Limited

<div>
 
 Job Title: Junior Data Scientist
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 8+ Years
 
 
 
 Position Overview
 
 
 
 We are seeking a highly experienced
 
 Senior Data Scientist
 
 with a strong academic background and extensive hands-on experience in Data Science and Machine Learning projects. The ideal candidate will be proficient in building predictive models, advanced analytics, and deploying ML/AI solutions to solve complex business challenges.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to extract actionable insights and trends.
 </li>
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 Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics.
 </li>
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 Collaborate with engineering, product, and business stakeholders to deliver data-driven solutions.
 </li>
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 Design, build, and maintain scalable data pipelines using Python, R, SQL, or related tools.
 </li>
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 Communicate insights through compelling visualizations and data storytelling.
 </li>
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 Evaluate, test, and improve model performance, accuracy, and efficiency.
 </li>
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 Work with cloud platforms (AWS, Azure, GCP) to deploy ML/AI models into production environments.
 </li>
 <li>
 Ensure best practices in data quality, governance, and compliance standards.
 
 
 </li>
 </ul>
 
 Must-Have Skills
 
 
 
 <ul>
 <li>
 8+ years of experience in Data Science, Machine Learning, or AI-driven projects.
 </li>
 <li>
 Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
 </li>
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 Deep understanding of ML algorithms, statistical modeling, and data mining techniques.
 </li>
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 Expertise in data visualization tools: Power BI, Tableau, Matplotlib, or Seaborn.
 </li>
 <li>
 Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
 </li>
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 Hands-on experience with cloud ML platforms: AWS SageMaker, Azure ML, or Google AI Platform.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Experience with Deep Learning, NLP, or Time Series Analysis.
 </li>
 <li>
 Exposure to MLOps and CI/CD pipelines for model deployment.
 </li>
 <li>
 Relevant certifications or a strong portfolio in ML/Data Science.
 </li>
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 Experience in prompt engineering, RAG/context engineering, and Agentic AI systems.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or related discipline
 </li>
 </ul>
</div>

Junior Data Scientist

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>
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 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
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 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>

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

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Develop and implement advanced machine learning models and algorithms to solve complex business problems.
 </li>
 <li>
 Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring.
 </li>
 <li>
 Utilize PySpark for large-scale data processing and transformation.
 </li>
 <li>
 Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility.
 </li>
 <li>
 Perform exploratory data analysis, feature engineering, and model optimization.
 </li>
 <li>
 Communicate insights and recommendations to stakeholders through clear visualizations and reports.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Your Profile
 
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist with a strong understanding of statistical modelling and machine learning techniques.
 </li>
 <li>
 Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar).
 </li>
 <li>
 Proficiency in PySpark and distributed data processing.
 </li>
 <li>
 Strong programming skills in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment is a plus.
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a collaborative environment.
 
 
 </li>
 </ul>
 
 What Will You Love Working At Capgemini
 
 
 
 <ul>
 <li>
 You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
 </li>
 <li>
 We&rsquo;re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
 </li>
 <li>
 At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
 </li>
 <li>
 Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and &lsquo;Battery Energy Storage Solution&rsquo; (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

<div>
 
 Overview
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural query.,Scale and translate the PoC code into Production scale through industry wide accepted best practices.,Optimise the cost incurred to compile a response to given query by finding the best and cost effective alternatives.
 
 
 
 Qualifications
 
 
 
 We need who has worked on applications that leverages Large language models and make the user experience faster, better and stronger. Also a well seasoned data scientist with fair experience in API and backend development (using accelerators like FastAPI and AsyncIO).
</div>

Data Science Engineer

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