633 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
Posted today
Job Viewed
Job Description
Greetings from TCS!
Skill: Big Data
Years of Experience: 6 - 12 years
Location: Pune/ Mumbai/ Chennai
Notice Period: 0 - 45 days
Job Description:-
Must-Have
- PySpark
- Hive
Good-to-Have
- Spark
- HBase
- DQ tool
- Agile Scrum experience
- Exposure in data ingestion from disparate sources onto Big Data platform
Big Data
Posted today
Job Viewed
Job Description
The main goal of the Data Engineer would be to develop, optimize and troubleshoot complex technical database integrations/problems in a OLAP/DWH/Bigdata environments:
- Strong expertise on SQL with 3-5 years of hands-on experience in implementing OLAP & Enterprise Data Warehouse Projects.
- Good hands on building data pipelines on Big Data tech stack with knowledge on Spark with programming using Python or Scala.
- Experience working on various database systems like Postgres, Oracle and Redshift.
- Exposure to different AWS Services like S3, Glue, Athena, EMR, EC2 etc.
- Good knowledge on SQL query processing and performance tuning.
- Knowledge of DW data population techniques (ETL/ELT) for target structures such as Star Schemas, Snowflake Schemas.
- Commitment to product quality, keen interest to learn and work on latest technology stacks and solutions.
- Ability to perform Data Analysis, visualize Data patterns and good understanding of Data Quality.
- Good to have experience in Oracle PLSQL.
Desired Profile Soft Skills: Good communication, Analytical, Presentation and Problem solving skills.
Qualification:
- 3 - 5 years of industry experience.
- Technical degree i.e. BE / B.Tech / M.Tech / MCA and proven professional and technical experience.
Big Data Developer - Java, Big data, Spring
Posted 16 days ago
Job Viewed
Job Description
Primary Responsibilities:
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
- Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications -
Required Qualifications:
- Undergraduate degree or equivalent experience
- Proven experience using Bigdata tech stack
- Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
- Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
- Proficient with Unix/Linux eco systems and shell scripting skills
- Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
- Proven solid analytical and communication skills
Big Data Developer - Java, Big data, Spring
Posted 2 days ago
Job Viewed
Job Description
Primary Responsibilities:
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
- Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications -
Required Qualifications:
- Undergraduate degree or equivalent experience
- Proven experience using Bigdata tech stack
- Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
- Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
- Proficient with Unix/Linux eco systems and shell scripting skills
- Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
- Proven solid analytical and communication skills
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Big Data Developer - Java, Big data, Spring
Posted today
Job Viewed
Job Description
Primary Responsibilities:
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
- Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications -
Required Qualifications:
- Undergraduate degree or equivalent experience
- Proven experience using Bigdata tech stack
- Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
- Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
- Proficient with Unix/Linux eco systems and shell scripting skills
- Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
- Proven solid analytical and communication skills
Big Data Developer - Java, Big data, Spring
Posted 14 days ago
Job Viewed
Job Description
Primary Responsibilities:
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
- Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications -
Required Qualifications:
- Undergraduate degree or equivalent experience
- Proven experience using Bigdata tech stack
- Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
- Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
- Proficient with Unix/Linux eco systems and shell scripting skills
- Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
- Proven solid analytical and communication skills
Big Data Developer - Java, Big data, Spring
Posted today
Job Viewed
Job Description
Primary Responsibilities:
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
- Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Qualifications -
Required Qualifications:
- Undergraduate degree or equivalent experience
- Proven experience using Bigdata tech stack
- Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
- Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
- Proficient with Unix/Linux eco systems and shell scripting skills
- Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
- Proven solid analytical and communication skills