102 Director Of Data Science jobs in Hyderabad

Job Description

Job Title: Data/ML/AI/GenAI Practice Leader

Experience: 10+ years

Location: Hyderabad

At the forefront of data-driven innovation, our team empowers organizations to unlock strategic value through advanced analytics, AI/ML, and next-gen GenAI solutions built on cloud-native platforms and optionally deploying AI/ML in data centers. As a technology Lead he/she will work with enterprises, startup founders, and government agencies to build robust data capabilities across Data Engineering, Analytics, Machine Learning, Generative AI, and emerging agentic architectures. Primary responsibility will be to craft future-ready, fail-proof strategies for clients by leading presales and post sales efforts, while actively shaping solution architecture and guiding delivery teams to execute with excellence and on time-every time!

We are seeking an experienced and visionary Data, AI/ML & Gen AI Leader to establish and scale our AI practice. The ideal candidate will bring deep expertise in machine learning, LLMs, data science and GenAI platforms, and will be responsible for defining the technical roadmap, driving innovation, mentoring teams, and delivering impactful Data and AI solutions across industries.

He/She will collaborate with C-suite leaders and technical stakeholders from ideation to execution. As a thought leader, he/she is expected to bring best practices from both presales and delivery, bridge the gap between business needs and technical complexity, and stay ahead of rapid shifts in data, AI, GenAI, and agentic technologies through.

This role requires a blend of strategic thinking, hands-on technical capability, and leadership acumen to shape and grow the organization’s Data, AI and GenAI capabilities. We expect hands-on expertise in cloud platforms (with AWS as primary), Good Snowflake knowledge, Azure awareness, good understanding of enterprise platforms (SAP, Salesforce, ServiceNow, Dynamics), and experience with leading databases (Oracle, MySQL) and ETL tools (like Glue, Fivetran, EMR).

Work to be done-

• Build, mentor, and lead a cross-functional AI team including data scientists, ML engineers, data engineers, and solution architects.

• Lead the design, development, and deployment of cloud-native data, AI/ML, and GenAI platforms leveraging AWS (SageMaker, Bedrock, Lambda, Glue, EMR, Kinesis, Redshift, Athena, AppFlow, Step Functions, Rekognition, Textract, Comprehend).

• Architect and oversee the design and deployment of end-to-end AI/ML pipelines, including data ingestion, model training, evaluation, and deployment optimize ETL pipelines, lakehouses, and advanced analytics solutions on AWS and Snowflake.

• Lead Generative AI initiatives such as intelligent chatbots, document summarization, knowledge assistants, and code-generation solutions.

• Translate complex client problems into actionable data and AI strategies through POCs, MVPs and production-grade deployment leveraging open-source and enterprise AI stacks including agentic AI frameworks, RAG workflows, and enterprise MLOps/DataOps best practices.

• Define, implement, and enforce data governance, master data management (MDM), cataloging, and lineage frameworks for accuracy, integrity, and compliance - working across Oracle, MySQL, and other enterprise data sources.

• Conduct platform health reviews: data/AI quality assessments, root cause analyses, and continuous improvement for reliability and performance.

• Partner with business, sales, and product teams to shape tailored proposals, SoW, pricing, and effort estimation for large-scale enterprise data, AI, and GenAI projects.

• Mentor and lead delivery teams - ensuring best practices across presales, solution architecture, and project execution, with exposure to ETL tools like Fivetran, EMR, Glue, and scalable database management.

• Engage with partners (AWS, Microsoft, NVIDIA, etc.) for joint solution development.

Required Skills & Experience

• 8 -10 years of experience in data analytics and AI/ML with deep cloud expertise (AWS mandatory, Snowflake desired, Azure /GCP and ETL tools like Fivetran good to have).
• Demonstrated leadership in presales architecting, solution workshops, client engagement, and enterprise data & AI delivery across platforms such as SAP, Salesforce, ServiceNow, and Dynamics.
• Proficiency with cloud-based AI services (Amazon SageMaker, Vertex AI, Bedrock, OpenAI APIs) Cloud-based data and ETL service like Glue, EMR, Kinesis, Redshift;
  Visualization tools like Quicksight, Grafana.
• Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, Hugging Face), LLM fine-tuning techniques, and programming stack like Python, Spark, Scala.
• Strong understanding of vector databases, RAG (Retrieval Augmented Generation), and prompt optimization techniques.
• Experience building or deploying GenAI, Agentic AI (including RAG models), data agents, and leveraging the latest in cognitive/enterprise AI trends;
  good understanding of Azure and hybrid/multi-cloud strategies, including integration with SAP, Salesforce, ServiceNow, and Dynamics.
• Proven advocacy and implementation of DataOps, MLOps, data governance, and metadata management at scale utilizing a mix of modern enterprise tools and native cloud services.
• Exceptional analytical, solution design, and communication skills;
  adept at leading technical and business discussions and mentoring/leading diverse teams.

Preferred Qualifications

• AWS Certified Machine Learning – Specialty, AWS Data Analytics Professional or SnowPro Certification.
• Certification or specialization in Generative AI, NLP, or Deep Learning from reputed platforms (e.G., Coursera, Stanford, NVIDIA DLI).
• Experience leading global or US-based client engagements and shaping enterprise data/AI strategies from presales to delivery.
• Exposure to Azure AI/Data services, enterprise platform integrations (SAP, Salesforce, ServiceNow, Dynamics), metadata/catalog tools, and designing modern data operating models.
• Experience with large-scale proposals, SoW creation, and bringing best-in-class presales and delivery practices.

Our Culture and Purpose

We believe diverse perspectives drive innovation. Our inclusive culture empowers you to be authentic, nurtures curiosity, and prioritizes continuous learning. We provide an environment where the person can truly grow as a leader, master the latest in data and GenAI, and deliver measurable impact for clients and communities. This is where passion for architecting data and AI solutions meets meaningful business influence.

If one is thrive on leading teams, mentoring talent, exploring RAG models, building agentic AI, and consistently deliver business impact – it will be the next big move.

Interested can share the CV on

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

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.

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)

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