336 Data Science jobs in Hyderabad
Data Science Specialist
Posted today
Job Viewed
Job Description
Role - SRE Data Science Analyst
Location: Hyderabad
Experience: 6 - 10 years
Site Reliability Engineer –Data Science Service
Your role
Are you passionate about technology and data? Do you want to help implement the strategy for Global Data Science environments at an international firm? Are you motivated to work in a complex and diverse setting where ideas are valued and effort is appreciated?
We are looking for a Site Reliability Engineer to join our team and help us to:
- Provide best-in-class Production Support for Data Science engineering, application development, and production Line-of-Business teams
- Design, engineer, and implement critical infrastructure to support Data Science platforms such as Alteryx, Dataiku and Azure Machine Learning
- Act as a Problem Manager to troubleshoot and resolve complex Technical Incidents with an eye on developing sustainable automata
- Collaborate with cross-functional teams like engineering, hardware, platform services, cloud, and operations
- Monitor and Analyze MongoDB performance, with a foci on automation and reliability
- Ensure compliance with operational, risk, and change management guidelines
- Provide occasional weekend or after-hours support
- Develop and document best practices
Your team
You will be working in the Data Platform SRE team in Pune or Hyderabad to focus on reliability, operations, and efficiency in collaboration with our Global Data Science Service team. We enable solutions for numerous lines of business by implementing modern data science initiatives across Wealth Management, Investment Banking, and Corporate Center divisions including Risk and Finance, HR, and other Technology Service Teams. We offer flexibility in the workplace and equal opportunities for all team members.
Your expertise
- Hands-on experience with UNIX/Windows Administration, ideally 5+ years
- Alteryx administration experience is desirable
- Knowledge regarding analytic products such as Dataiku, Alteryx, Azure Synapse, and DataBricks is a plus
- Ability to solve complex issues with solution-design thinking
- Dev-Ops experience with GitLab CI/CD and PowerShell scripting skills or other programming languages
- Track-record of influencing IT stakeholders and business partners
- A confident communicator who can explain technology to business stakeholders
Data Science Intern
Posted today
Job Viewed
Job Description
Please read the job details before applying.
Job Code: BTL-
Job title: Data Science Intern
Experience : Fresher
Location : Hyderabad (Work From Office)
Duration: 6 Months
Stipend: The first 3 months will be an unpaid internship, followed by 3 months of paid internship.
Website :
LinkedIn Page:
Responsibilities:
- Assist in the development and implementation of data-driven solutions to complex business problems.
- Conduct data analysis and modelling to identify trends, patterns, and insights.
- Clean, prepare, and process large datasets for analysis.
- Collaborate with cross-functional teams to identify and optimise business opportunities.
- Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation.
- Present findings and recommendations to key stakeholders in a clear and concise manner.
- Stay informed on the latest trends and advancements in the field of data science.
Requirements:
- Should be familiar with NLP, generative AI, LLMs, and RAG (preferable).
- Strong analytical thinking and problem-solving skills.
- Strong Knowledge of Statistics.
- Proficiency in programming languages such as Python and R.
- Knowledge of Pandas, Scikit-learn, TensorFlow, and PyTorch.
- Experience with data preprocessing, cleansing, and validation techniques.
- Familiarity with data visualisation tools and libraries.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Attention to detail and ability to handle multiple projects simultaneously.
Education:
- Currently pursuing or have completed a bachelor's or master's degree in data science, computer science, statistics, or a related field.
Benefits
- Opportunity to learn from experienced professionals.
- Exposure to real-world projects.
- Potential for full-time employment after successful completion of the internship.
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Hello,
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
- Develop and execute our organization's vision and strategy for generative AI and LLM applications
- Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
- Identify high-impact business opportunities where LLMs can deliver significant value
- Establish roadmaps for AI implementation hat align with broader organizational goals
- Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
- Oversee the design, development, and optimization of LLM-based applications
- Guide the selection, customization, and fine-tuning of language models for specific use cases
- Establish architecture and frameworks for integrating LLMs into existing products and services
- Implement best practices for prompt engineering, context handling, and model evaluation
- Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
- Build and mentor a talented team of AI specialists with expertise in generative models
- Create a collaborative environment that fosters innovation and knowledge sharing
- Set clear objectives and performance expectations for team members
- Recruit, develop, and retain top AI talent in a competitive market
- Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
- Partner with business leaders to translate organizational needs into AI solutions
- Collaborate with product, engineering, and design teams to integrate AI capabilities
- Communicate complex AI concepts effectively to various stakeholders
- Work with legal and compliance teams to ensure responsible AI deployment
- Drive AI literacy and adoption across the organization
Experience
- 10+ years of experience in artificial intelligence or machine learning
- 5+ years of hands-on experience with LLMs and generative AI technologies
- 5+ years in leadership roles managing technical teams
- Proven track record of successfully implementing AI solutions in production environments
- Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
- Deep understanding of LLM architectures, capabilities, and limitations
- Expertise in natural language processing and generative AI techniques
- Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with MLOps and AI deployment infrastructures
- Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
- Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
- Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
- Strong strategic thinking and business acumen
- Excellent communication and stakeholder management abilities
- Team leadership and mentoring capabilities
- Problem-solving mindset and ability to drive innovation
- Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Digital : Data Science
Posted 1 day ago
Job Viewed
Job Description
TCS Hiring ! Data Scientist/ ML Engineer
Role**
Exp -5 to 10 years
Hyderabad
Please read Job description before Applying
NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email ID:
Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience-5 -10
Location : TCS - Hyderabad
Current CTC
Expected CTC
Notice period:
Whether worked with TCS - Y/N
Location:TCS - Hyderabad
Must-Have**
experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
Good knowledge on ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
Good knowledge of end to end data science implementation including data ingestion, integration
Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts
Good communication skills
Experience in working with multi-vendor environment
Data Scientist/ ML Engineer JD (
years of experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
Good knowledge on ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
Good knowledge of end to end data science implementation including data ingestion, integration
Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts
Experience in managing 3rd party vendor for data acquisition
Project Management
Customer management
Data Science Manager
Posted today
Job Viewed
Job Description
Urgent job openings for Data Science Manager-(Gen AI/LLM) @ GlobalData(Hyd).
Job Description given below please go through to understand the requirement.
if requirement is matching to your profile & interested to apply please share your updated resume @ mail id ( ).
Mention Subject Line :-
Applying for Data Science Manager(Gen AI/LLM) @ GlobalData(Hyd)
Share your details in the mail :-
Full Name :
Mobile # :
Qualification :
Company Name :
Designation :
Total Work Experience Years :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
If out-station willing to move to Hyd? :
Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana- .
Job Description :-
Data Science Manager - AI & GENERATIVE LANGUAGE MODELS
Position Overview
We are seeking an innovative AI & Generative Language Models Manager to lead our organization's initiatives in large language models (LLMs) and generative AI. This role will drive the development and implementation of cutting-edge AI solutions that transform our business operations and create competitive advantages. The ideal candidate will combine deep technical expertise in generative AI with strong leadership skills to build and direct a high-performing team.
Core Responsibilities
Strategic Leadership
Develop and execute our organization's vision and strategy for generative AI and LLM applications
Lead a team of AI engineers, researchers, and ML specialists focused on generative AI solutions
Identify high-impact business opportunities where LLMs can deliver significant value
Establish roadmaps for AI implementation hat align with broader organizational goals
Stay at the forefront of rapidly evolving LLM technologies and industry developments
Technical Direction
Oversee the design, development, and optimization of LLM-based applications
Guide the selection, customization, and fine-tuning of language models for specific use cases
Establish architecture and frameworks for integrating LLMs into existing products and services
Implement best practices for prompt engineering, context handling, and model evaluation
Ensure AI solutions balance performance, cost-efficiency, and ethical considerations
Team Management
Build and mentor a talented team of AI specialists with expertise in generative models
Create a collaborative environment that fosters innovation and knowledge sharing
Set clear objectives and performance expectations for team members
Recruit, develop, and retain top AI talent in a competitive market
Promote continuous learning and professional growth within the team
Cross-Functional Collaboration
Partner with business leaders to translate organizational needs into AI solutions
Collaborate with product, engineering, and design teams to integrate AI capabilities
Communicate complex AI concepts effectively to various stakeholders
Work with legal and compliance teams to ensure responsible AI deployment
Drive AI literacy and adoption across the organization
Experience
10+ years of experience in artificial intelligence or machine learning
5+ years of hands-on experience with LLMs and generative AI technologies
5+ years in leadership roles managing technical teams
Proven track record of successfully implementing AI solutions in production environments
Experience with LLM fine-tuning, prompt engineering, and AI application development
Technical Skills
Deep understanding of LLM architectures, capabilities, and limitations
Expertise in natural language processing and generative AI techniques
Proficiency in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with MLOps and AI deployment infrastructures
Knowledge of responsible AI practices, including bias mitigation and ethical AI use
Education Qualification
Master's degree or PhD in Computer Science, AI, Machine Learning, or related field
Relevant certifications in AI, machine learning, or cloud technologies are a plus
Leadership & Professional Skills
Strong strategic thinking and business acumen
Excellent communication and stakeholder management abilities
Team leadership and mentoring capabilities
Problem-solving mindset and ability to drive innovation
Project management skills and experience with agile methodologies
Thanks & Regards,
Salim
(Human Resources)
Data Science Specialist
Posted today
Job Viewed
Job Description
Location: Hyderabad
Experience: 6 - 10 years
Site Reliability Engineer –Data Science Service
Your role
Are you passionate about technology and data? Do you want to help implement the strategy for Global Data Science environments at an international firm? Are you motivated to work in a complex and diverse setting where ideas are valued and effort is appreciated?
We are looking for a Site Reliability Engineer to join our team and help us to:
- Provide best-in-class Production Support for Data Science engineering, application development, and production Line-of-Business teams
- Design, engineer, and implement critical infrastructure to support Data Science platforms such as Alteryx, Dataiku and Azure Machine Learning
- Act as a Problem Manager to troubleshoot and resolve complex Technical Incidents with an eye on developing sustainable automata
- Collaborate with cross-functional teams like engineering, hardware, platform services, cloud, and operations
- Monitor and Analyze MongoDB performance, with a foci on automation and reliability
- Ensure compliance with operational, risk, and change management guidelines
- Provide occasional weekend or after-hours support
- Develop and document best practices
Your team
You will be working in the Data Platform SRE team in Pune or Hyderabad to focus on reliability, operations, and efficiency in collaboration with our Global Data Science Service team. We enable solutions for numerous lines of business by implementing modern data science initiatives across Wealth Management, Investment Banking, and Corporate Center divisions including Risk and Finance, HR, and other Technology Service Teams. We offer flexibility in the workplace and equal opportunities for all team members.
Your expertise
- Hands-on experience with UNIX/Windows Administration, ideally 5+ years
- Alteryx administration experience is desirable
- Knowledge regarding analytic products such as Dataiku, Alteryx, Azure Synapse, and DataBricks is a plus
- Ability to solve complex issues with solution-design thinking
- Dev-Ops experience with GitLab CI/CD and PowerShell scripting skills or other programming languages
- Track-record of influencing IT stakeholders and business partners
- A confident communicator who can explain technology to business stakeholders
Data Science Intern
Posted today
Job Viewed
Job Description
Job Code: BTL-
Job title: Data Science Intern
Experience : Fresher
Location : Hyderabad (Work From Office)
Duration: 6 Months
Stipend: The first 3 months will be an unpaid internship, followed by 3 months of paid internship.
Website : Page: in the development and implementation of data-driven solutions to complex business problems.
Conduct data analysis and modelling to identify trends, patterns, and insights.
Clean, prepare, and process large datasets for analysis.
Collaborate with cross-functional teams to identify and optimise business opportunities.
Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation.
Present findings and recommendations to key stakeholders in a clear and concise manner.
Stay informed on the latest trends and advancements in the field of data science.
Requirements:
Should be familiar with NLP, generative AI, LLMs, and RAG (preferable).
Strong analytical thinking and problem-solving skills.
Strong Knowledge of Statistics.
Proficiency in programming languages such as Python and R.
Knowledge of Pandas, Scikit-learn, TensorFlow, and PyTorch.
Experience with data preprocessing, cleansing, and validation techniques.
Familiarity with data visualisation tools and libraries.
Strong written and verbal communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Attention to detail and ability to handle multiple projects simultaneously.
Education:
Currently pursuing or have completed a bachelor's or master's degree in data science, computer science, statistics, or a related field.
Benefits
Opportunity to learn from experienced professionals.
Exposure to real-world projects.
Potential for full-time employment after successful completion of the internship.
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Digital : Data Science
Posted 1 day ago
Job Viewed
Job Description
Role**
Exp -5 to 10 years
Hyderabad
Please read Job description before Applying
NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email ID:
Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience-5-10
Location : TCS - Hyderabad
Current CTC
Expected CTC
Notice period:
Whether worked with TCS - Y/N
Location:TCS - Hyderabad
Must-Have**
experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
Good knowledge on ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
Good knowledge of end to end data science implementation including data ingestion, integration
Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts
Good communication skills
Experience in working with multi-vendor environment
Data Scientist/ ML Engineer JD (
years of experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
Good knowledge on ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
Good knowledge of end to end data science implementation including data ingestion, integration
Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts
Experience in managing 3rd party vendor for data acquisition
Project Management
Customer management