577 Data Scientists jobs in Hyderabad
Senior Principal Consultant - Data Scientists with Computer vision experience!
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’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’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!
We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.
Key Responsibilities:
Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance).
Model Development: Develop, evaluate, and optimizestate-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.).
Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies.
Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments.
Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success.
Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing.
Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems.
Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders.
Qualifications we seek in you!
Minimum Qualifications
Master’s or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision.
Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc.
Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc.
Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure).
Strong communication, leadership, and team collaboration skills.
Preferred Qualifications:
Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred.
Experience deploying CV models within real-time environments.
Contributions to open-source CV projects or published research.
Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
Lead the development of CI/CD pipelines and standardize deployment frameworks.
Strong Python programming skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Lead Consultant-Data Scientists with AI and Generative Model experience!
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’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’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.
Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!
We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.
Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.
• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Qualifications we seek in you:
Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Experience in data science, machine learning, AI applications, and generative AI modelling.
• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance
• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Senior Principal Consultant-Data Scientists with AI and Generative Model experience!
Posted today
Job Viewed
Job Description
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’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’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, 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 – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, 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 Senior Principal Consultant-Data Scientists with AI and Generative Model experience!
We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.
Responsibilities
Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
Basics of Statistics
Experience in ML models Linear Regression, Logistic regression, Random forest etc
Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.
Experience in Azure platform
Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.
Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Qualifications we seek in you:
Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Experience in data science, machine learning, AI applications, and generative AI modelling.
• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.
• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.
• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.
• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.
• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance
• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.
Why join Genpact?
Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation
Make an impact – Drive change for global enterprises and solve business challenges that matter
Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities
Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Big Data Engineer, Data Analysis
Posted today
Job Viewed
Job Description
What can you tell your friends
when they ask you what you do?“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”
To ensure we execute on our values we are looking for someone who has a passion for:
As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
Big Data Developer
Posted 1 day ago
Job Viewed
Job Description
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights
Role Value Proposition
MetLife Global Capability Center (MGCC) is looking for a Senior Cloud data engineer who has the responsibility of building ETL/ELT, data warehousing and reusable components using Azure, Databricks and spark. He/She will collaborate with the business systems analyst, technical leads, project managers and business/operations teams in building data enablement solutions across different LOBs and use cases.
Job Responsibilities
- Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes
- Develop metadata and configuration based reusable frameworks to reduce the development effort
- Develop quality code with integral performance optimizations in place right at the development stage.
- Collaborate with global team in driving the delivery of projects and recommend development and performance improvements.
- Extensive experience of various databases types and knowledge to leverage the right one for the need.
- Strong understanding of data tools and ability to leverage them to understand the data and generate insights
- Hands on experience in building/designing at-scale Data Lake, Data warehouses, data stores for analytics consumption On prem and Cloud (real time as well as batch use cases)
- Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ETL solutions.
Education, Technical Skills & Other Critical Requirement
Education
Bachelor’s degree in computer science, Engineering, or related discipline
Experience
8 to 10 years of working experience on Azure Cloud using Databricks or Synapse
Technical Skills
- Experience in transforming data using Python, Spark or Scala
- Technical depth in Cloud Architecture Framework, Lakehouse Architecture and One Lake solutions.
- Experience in implementing data ingestion and curation process using Azure with tools such as Azure Data Factory, Databricks Workflows, Azure Synapse, Cosmos DB, Spark (Scala/python), Data bricks .
- Experience in cloud optimized code on Azure using Databricks, Synapse dedicated SQL Pool and serverless Pools, Cosmos, SQL APIs loading and consumption optimizations.
- Scripting experience primarily on shell/bash/PowerShell would be desirable.
- Experience in writing SQL and performing data analysis skills for data anomaly detection and data quality assurance.
Big Data Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Title: Big Data Engineer
Experience: 5–9 Years
Location: Hyderabad-Hybrid
Employment Type: Full-Time
Job Summary:
We are seeking a skilled Big Data Engineer with 5–9 years of experience in building and managing scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in Big Data, Hadoop, Apache Spark, SQL, Hadoop, and Data Lake/Data Warehouse architectures. Experience working with any cloud platform (AWS, Azure, or GCP) is preferred.
Required Skills:
- 5–9 years of hands-on experience as a Big Data Engineer.
- Strong proficiency in Apache Spark (PySpark or Scala).
- Solid understanding and experience with SQL and database optimization.
- Experience with data lake or data warehouse environments and architecture patterns.
- Good understanding of data modeling, performance tuning, and partitioning strategies.
- Experience in working with large-scale distributed systems and batch/stream data processing.
- Preferred Qualifications:
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
- Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Big Data Engineer
Posted today
Job Viewed
Job Description
Experience: 5–9 Years
Location: Hyderabad-Hybrid
Employment Type: Full-Time
Job Summary:
We are seeking a skilled Big Data Engineer with 5–9 years of experience in building and managing scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in Big Data, Hadoop, Apache Spark, SQL, Hadoop, and Data Lake/Data Warehouse architectures. Experience working with any cloud platform (AWS, Azure, or GCP) is preferred.
Required Skills:
5–9 years of hands-on experience as a Big Data Engineer.
Strong proficiency in Apache Spark (PySpark or Scala).
Solid understanding and experience with SQL and database optimization.
Experience with data lake or data warehouse environments and architecture patterns.
Good understanding of data modeling, performance tuning, and partitioning strategies.
Experience in working with large-scale distributed systems and batch/stream data processing.
Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
Education:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Be The First To Know
About the latest Data scientists Jobs in Hyderabad !
Big Data Developer
Posted 1 day ago
Job Viewed
Job Description
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights
Role Value Proposition
MetLife Global Capability Center (MGCC) is looking for a Senior Cloud data engineer who has the responsibility of building ETL/ELT, data warehousing and reusable components using Azure, Databricks and spark. He/She will collaborate with the business systems analyst, technical leads, project managers and business/operations teams in building data enablement solutions across different LOBs and use cases.
Job Responsibilities
Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes
Develop metadata and configuration based reusable frameworks to reduce the development effort
Develop quality code with integral performance optimizations in place right at the development stage.
Collaborate with global team in driving the delivery of projects and recommend development and performance improvements.
Extensive experience of various databases types and knowledge to leverage the right one for the need.
Strong understanding of data tools and ability to leverage them to understand the data and generate insights
Hands on experience in building/designing at-scale Data Lake, Data warehouses, data stores for analytics consumption On prem and Cloud (real time as well as batch use cases)
Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ETL solutions.
Education, Technical Skills & Other Critical Requirement
Education
Bachelor’s degree in computer science, Engineering, or related discipline
Experience
8 to 10 years of working experience on Azure Cloud using Databricks or Synapse
Technical Skills
Experience in transforming data using Python, Spark or Scala
Technical depth in Cloud Architecture Framework, Lakehouse Architecture and One Lake solutions.
Experience in implementing data ingestion and curation process using Azure with tools such as Azure Data Factory, Databricks Workflows, Azure Synapse, Cosmos DB, Spark (Scala/python), Data bricks .
Experience in cloud optimized code on Azure using Databricks, Synapse dedicated SQL Pool and serverless Pools, Cosmos, SQL APIs loading and consumption optimizations.
Scripting experience primarily on shell/bash/PowerShell would be desirable.
Experience in writing SQL and performing data analysis skills for data anomaly detection and data quality assurance.
Big Data Engineer
Posted today
Job Viewed
Job Description
Job Title: Big Data Engineer
Experience: 5–9 Years
Location: Hyderabad-Hybrid
Employment Type: Full-Time
Job Summary:
We are seeking a skilled Big Data Engineer with 5–9 years of experience in building and managing scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in Big Data, Hadoop, Apache Spark, SQL, Hadoop, and Data Lake/Data Warehouse architectures. Experience working with any cloud platform (AWS, Azure, or GCP) is preferred.
Required Skills:
- 5–9 years of hands-on experience as a Big Data Engineer.
- Strong proficiency in Apache Spark (PySpark or Scala).
- Solid understanding and experience with SQL and database optimization.
- Experience with data lake or data warehouse environments and architecture patterns.
- Good understanding of data modeling, performance tuning, and partitioning strategies.
- Experience in working with large-scale distributed systems and batch/stream data processing.
- Preferred Qualifications:
- Experience with cloud platforms such as AWS, Azure, or GCP is preferred.
- Education:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Big Data Developer
Posted today
Job Viewed
Job Description
Role Highlights:
Position: Big Data Engineer
Experience: 4+ years
Location: All India-Remote, Hyderabad- Hybrid
Notice Period: Immediate/7 days joiners mandate
Job Overview:
Must have skills- Big Data, Scala, AWS and Python or Java