360 Data Science jobs in Hyderabad

Position Description:

Your future duties and responsibilities:

• Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.
• roduction Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.
• D ta Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.
• R search & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.
• P rformance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.
• C llaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.
• C de Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.
• M nitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.

Required qualifications to be successful in this role:

Must-Have Skills:
• 7 years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
• S rong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• E tensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.
• S lid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
• E perience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• P oven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
• S rong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
• E perience with data preprocessing, feature engineering, and handling large datasets.
Good-to-Have Skills:
• F miliarity with software development best practices including version control (Git), code reviews, and CI/CD.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Skills:

Title: Data Science

Experience: 8–15 years (at least 5 years relevant in AI/ML)

Location: Hyderabad

Notice Period: Immediate joiners only

Work Mode: Hybrid (2 days in office)

Interview Process: L1 – Virtual | L2 – Client (mandatory face-to-face in Hyderabad). Only candidates open to F2F can be considered.

Role Requirements:

• 8+ years’ proven experience in AI/ML solution design and deployment .
• Strong expertise in AI, ML, NLP, LLMs, RAG, and Generative/Agentic AI .
• Solid grounding in machine learning algorithms, statistics, and predictive modeling (classification, regression, clustering, ensembles, etc.).
• Hands-on with NLP, LLMs, and RAG implementations .
• Experience across AWS, Azure, or GCP with their respective AI/ML ecosystems (SageMaker, Azure ML, Vertex AI).
• Strong SQL for data preparation, feature extraction, and analysis .
• Skilled in feature engineering, preprocessing, and working with large datasets .
• Familiarity with development best practices (Git, CI/CD, code reviews).

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)

Title: Data Science

Experience: 8–15 years (at least 5 years relevant in AI/ML)

Location: Hyderabad

Notice Period: Immediate joiners only

Work Mode: Hybrid (2 days in office)

Interview Process: L1 – Virtual | L2 – Client (mandatory face-to-face in Hyderabad). Only candidates open to F2F can be considered.

Role Requirements:

• 8+ years’ proven experience in AI/ML solution design and deployment .
• Strong expertise in AI, ML, NLP, LLMs, RAG, and Generative/Agentic AI .
• Solid grounding in machine learning algorithms, statistics, and predictive modeling (classification, regression, clustering, ensembles, etc.).
• Hands-on with NLP, LLMs, and RAG implementations .
• Experience across AWS, Azure, or GCP with their respective AI/ML ecosystems (SageMaker, Azure ML, Vertex AI).
• Strong SQL for data preparation, feature extraction, and analysis .
• Skilled in feature engineering, preprocessing, and working with large datasets .
• Familiarity with development best practices (Git, CI/CD, code reviews).