466 Data Science Manager jobs in Hyderabad

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)

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

Live | What you will do

• Provide technical guidance and mentorship to data scientists, ensuring best practices in modeling, measurement, and reproducibility.
• Design and build predictive models to support patient analytics, campaign measurement, and recommendation use cases such as alerts, triggers, targeting, and next-best-action.
• Lead the design of pilots, A/B tests, and analytic frameworks to drive test-and-learn strategies.
• Translate complex model outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.
• Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.
• Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.
• Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.
• Drive innovation by exploring emerging techniques (e.g., causal inference, reinforcement learning, RAG/LLMs) for commercial data science applications.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

Basic Qualifications

• Master's degree in Data Science, Computer Science, Public Health, or related field.
• 7–13 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.
• Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.
• Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.
• Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).

Preferred Qualifications

• Critical thinking and structured problem-solving ability to intake ambiguous business requirements and develop analytics frameworks.
• Experience in life sciences, pharma, or regulated health analytics environments.
• Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
• Understanding of patient journey analytics, including HCP targeting or patient triggers.
• Exposure to RAG/LLM applications in data science.
• Strong communication skills and ability to work across technical and business stakeholders.
• Strong ownership of work with a bias towards action.

Opportunity Overview:

We are seeking a highly skilled and technically sound Data Science Team Manager to lead and drive our data science initiatives. This is a hands-on leadership role, ideal for someone with strong experience in designing and architecting data solutions, streamlining workflows, and directly contributing to team deliverables. This is not a traditional people management role; instead, we're looking for a technologically proficient leader who thrives on building solutions, mentoring others, and aligning data strategies with business goals.

This role requires hands-on experience building and architecting end-to-end NLP, data science, and machine learning solutions using tools such as Python, SQL, and AWS services, including EC2, Lambda, Glue, SNS, SQS, Sagemaker, EMR, and Athena. Adapt leveraging these technologies to design scalable, production-ready pipelines and intelligent systems. Ability to architect the design and deployment of scalable, production-ready machine learning pipelines and intelligent systems.

Required Qualifications:

• 7+ years of professional experience in data science, machine learning, data engineering, or related technical discipline.
• Proven experience in managing or leading technical teams, with a strong emphasis on mentoring and delivery.
• Lead by example as a hands-on manager, actively engaging in coding, solution design, and problem-solving alongside the team.
• Demonstrated experience in designing and implementing complex data architectures and pipelines.
• Partner with senior leadership to define the organization's data strategy and ensure alignment with business objectives.
• Develop and enforce data governance frameworks, policies, and procedures to ensure data quality, compliance, and risk mitigation.
• Streamline workflows and optimize processes to improve the efficiency, quality, and output of the data science team.
• Actively mentor and upskill team members, providing knowledge transfer and support for continuous learning and development.
• Foster cross-functional collaboration by working closely with engineering, product, analytics, and business teams to ensure data solutions are aligned with organizational goals and integrated seamlessly across platforms.
• Drive a culture of responsibility, ownership, and accountability within the team.
• Balance multiple concurrent projects while ensuring high-quality outcomes and timely delivery.
• Maintain a deep understanding of current technologies and industry best practices to ensure the team remains innovative and competitive.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Solid understanding of Object-Oriented Programming (OOP) principles with experience in writing clean, modular, and reusable code for scalable data science applications.
• Proficient in Git for version control, including branching strategies, pull requests, and collaborative code reviews.
• Hands-on experience using JIRA (or similar tools) for sprint planning, task tracking, and agile workflow management.
• Strong verbal and written communication skills; capable of interacting effectively with both technical and non-technical stakeholders.
• Self-motivated, proactive, and driven, with a strong sense of ownership and accountability.

Good to Have

• Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition
  
  (NER).
• Strong Leadership Skills.
• Deployment of custom-trained and prebuilt NER models using AWS Sagemaker.
• Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2.
• Should have Intellectual curiosity to learn new things.
• ISMS responsibilities should be followed as per company policy.

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

• Connect with Talent Acquisition for a Preliminary Phone Screening

• Meet your Hiring Manager

• Live Design Exercise

• Cross-Functional Interview

• Subject to change

About ZignaAI, a Cohere Health Company:

ZignaAI, a Cohere Health company, is focused on delivering innovative solutions that transform healthcare payment operational processes. We empower payers, providers, and patients with AI powered software solutions that drive transparency in healthcare payment services. Built-in intelligence-enabled machine learning algorithms deliver pre-billing payment accuracy solutions and avoid provider abrasion. We differ from traditional payment services solutions by resolving issues at the root by ensuring accurate payments and automating processes with nudges delivered to billing coders. Our innovative and scalable solutions cover Medicaid, Medicare, and Commercial policies, and deliver results in weeks.

Cohere Health is a fast-growing clinical intelligence company that's improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can't wait to learn more about you and meet you at ZignaAI, a Cohere Health company

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.

Primary Skills

Data Science, Python, Machine Learning

Mandatory Skills

Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP)

Core Skills

Python, NLP, LLMs, Data Science

Must-Have

Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index

Nice-to-Have

BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

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)

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)