mlops 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
 
 
 
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 Develop and implement advanced machine learning models and algorithms to solve complex business problems.
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 Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring.
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 Utilize PySpark for large-scale data processing and transformation.
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 Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility.
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 Perform exploratory data analysis, feature engineering, and model optimization.
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 Communicate insights and recommendations to stakeholders through clear visualizations and reports.
 
 
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 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
 
 
 
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 Proven experience as a Data Scientist with a strong understanding of statistical modelling and machine learning techniques.
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 Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar).
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 Proficiency in PySpark and distributed data processing.
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 Strong programming skills in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
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 Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment is a plus.
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 Excellent problem-solving skills and ability to work in a collaborative environment.
 
 
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 What Will You Love Working At Capgemini
 
 
 
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 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.
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 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.
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 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.
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 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.
 
 
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 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>

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

Junior 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:
 
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 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
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 Python, R etc.
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 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
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 Good knowledge of end-to-end data science implementation including data ingestion, integration
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 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
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 GOOD TO HAVE SKILL:
 
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 Masters degree in a quantitative discipline.
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 MLOps/ DevOps
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 BI tools like Power BI
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 ROLES AND RESPONSIBILITIES:
 
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 Ability to tailor communications to a variety of internal and external audiences.
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 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
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 Effective written and verbal communication and interpersonal skills.
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 Ability to engage with senior C-level business leaders.
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 Calm under pressure, ability to juggle multiple priorities and ambiguity.
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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
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 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
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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.
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 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.
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 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
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 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
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</div>

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
 
 
 
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 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
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 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
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 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
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 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
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 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
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 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
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 Automate ML models deployments
 
 
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 Qualifications
 
 
 
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 Minimum 3years of hands-on work experience in data science / Machine learning
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 Minimum 3year of SQL experience
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 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
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 BE/BS in Computer Science, Math, Physics, or other technical fields.
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 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
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 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
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 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
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 Any Cloud - Experience in Databricks and ADF is desirable
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 Familiarity with Spark, Hive, Pig is an added advantage
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 Model deployment experience will be a plus
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 Experience with version control systems like GitHub and CI/CD tools
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 Experience in Exploratory data Analysis
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 Knowledge of ML Ops / DevOps and deploying ML models is required
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 Experience using MLFlow, Kubeflow etc. will be preferred
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 Experience executing and contributing to ML OPS automation infrastructure is good to have
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 Exceptional analytical and problem-solving skills
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 </ul>
</div>

Amgen

<div>
 
 Role Name:
 
 Data Engineer
 
 
 
 Department Name:
 
 XXX
 
 
 
 Role GCF:
 
 4
 
 
 
 Hiring Manager Name: Chunhai He
 
 
 
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.
 
 
 
 About The Role
 
 
 
 Role Description:
 
 
 We seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.
 
 
 Roles &amp; Responsibilities:
 
 
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 Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
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 Managing and maintaining the AWS and Databricks environments.
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 Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
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 Maintain system uptime and optimal performance
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 Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
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 Exploring and implementing new tools and technologies to enhance ETL platform performance.
 
 
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 Functional Skills:
 
 
 
 Must-Have Skills:
 
 
 
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 Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms.
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 Proficient in leveraging Python, PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.
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 Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.
 
 
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 Good-to-Have Skills:
 
 
 
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 Experienced with SQL/NOSQL database, vector database for large language models
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 Experienced with data modeling and performance tuning for both OLAP and OLTP databases
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 Experienced with Apache Spark, Apache Airflow
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 Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
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 Experienced with AWS, GCP or Azure cloud services
 
 
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 Education and Professional Certifications
 
 
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 Bachelor&rsquo;s degree in computer science and engineering preferred, other Engineering field is considered
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 AWS Certified Data Engineer preferred
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 Databricks Certificate preferred
 
 
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 </ul>
 Soft Skills:
 
 
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 Excellent analytical and troubleshooting skills.
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 Strong verbal and written communication skills
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 Ability to work effectively with global, virtual teams
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 High degree of initiative and self-motivation.
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 Ability to manage multiple priorities successfully.
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 Team-oriented, with a focus on achieving team goals
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 Strong presentation and public speaking skills.
 
 
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 </ul>
 EQUAL OPPORTUNITY STATEMENT
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
</div>

Data Engineer

Software Engineer, Power and Performance Automation

Explore 42+ Mlops engineer in Hyderabad this December. Find roles across top companies and apply now to boost your career.

42 mlops engineer jobs IN Hyderabad

Data Scientist

Sr Data Scientist

Junior Data Scientist

Data Scientist

Data Scientist

Data Engineer

Software Engineer, Power and Performance Automation