46,600 Freelance AI jobs in India

The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.

#LI-RG1

Key Responsibilities
• Lead the design, development, and implementation of GenAI models & agents. Oversee the end-to-end lifecycle of AI/ML projects—from use case definition and data preparation to model development, deployment, and monitoring.
• Develop timelines, milestones, and metrics to effectively plan and execute projects.
• Ensure the scalability, reliability, and performance of AI models and analytics platforms.
• Manage and mentor a team of data scientists and AI/ML engineers.
• Translate complex technical concepts and insights to non-technical stakeholders.
• Support and build presentations on our GenAI products & solutions for clients and leadership.
• Develop and implement best practices for AI model development, deployment, and monitoring.
• Execute the AI and data science roadmap aligned with business goals and digital transformation initiatives.
• Team Management: Lead, mentor, and grow a high-performing team of data scientists, ML engineers, and analysts. Foster a collaborative and innovative team culture.
• Cross-Functional Collaboration: Partner with business units, IT, and product teams to identify opportunities for AI-driven automation and insights.
• Innovation & Prototyping: Drive rapid prototyping and proof-of-concept development for emerging AI use cases, including generative AI, predictive modeling, and intelligent agents
 

#LI-RG1

Requirements: 
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a manager role.
• Proven experience deploying AI/ML models in production environments.
• Proficiency in Python, SQL, and ML frameworks (., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of MLOps, data engineering pipelines, and cloud platforms (., Azure, AWS).
• Excellent communication and stakeholder management skills.

Preferred Knowledge and Experience:
• Semiconductor industry experience.
• Experience with tools like Databricks, Azure ML, and Snowflake.
• Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
• Understanding of AI security and compliance frameworks.

Competencies:
• Self-motivated, able to multitask, prioritize, and manage time efficiently
• Strong problem-solving skills
• Data analysis skills. Ability to analyze complex data and turn it into actionable information
• Collaboration and teamwork across multiple functions and stakeholders around the globe
• Flexibility and adaptability
• Process management / process improvement
• Drive for results, Able to work under pressure and meet deadlines

#LI-RG1

Responsibilities:

• Data Science and AI: Expertise in data science, including data analysis, data processing, and model development. Proficiency in Python for data science applications. Strong understanding and experience in artificial intelligence (AI) and machine learning (ML) algorithms.Natural Language Processing (NLP): Experience in developing and deploying NLP models. Understanding of large language models (LLMs) and their applications.Generative AI: Knowledge and practical experience with generative AI models and techniques. Ability to develop and integrate generative AI solutions into various applications.Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex data insights and AI solutions effectively to non-technical stakeholders.Continuous Learning and Improvement: Stay updated with the latest advancements in AI, ML, NLP, and generative AI. Continuously improve and optimize existing models and algorithms.

Desired Candidate:

• Experience: 4+ years of hands-on experience in data science, AI, ML, NLP, and generative AI.Skills: Strong problem-solving skills and the ability to think critically. Excellent communication and collaboration skills.Mindset: Self-starter with a passion for innovation and continuous learning. Ability to thrive in a fast-paced and dynamic environment.

Technical Skills:

• Data Science, Python, AI, ML, NLP, LLM, Generative AI

Position title:Data Science & AI Engineer

Experience:6-8 years

Notice period : 1 Month -Immediate joiner

Skills set : MLOPS,Gen AI,SLM,LLM,Python , Data science , ai engineer

Roles and responsibilities:

• Develop, implement, and optimize machine learning models and AI algorithms to solve complex business
  problems.
  
• Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures
  
• Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs.
  
• Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.).
  
• Work closely with clients to understand their data and AI needs and provide tailored solutions.
  
• Collaborate with cross-functional teams to integrate AI solutions into broader software architectures.
  
• Mentor junior team members and provide guidance in implementing best practices in data science and AI development.
  
• Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies.
  

Requirement:

• 5+ years of experience in data science, machine learning, and AI technologies.
  
• Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS.
  
• Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers.
  
• Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  
• Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL).
  
• Experience with MLOps practices and deployment of models in production environments.
  
• Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets.
  
• Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc.
  
• Client-facing experience with strong communication skills to manage and engage stakeholders.
  
• Strong problem-solving skills and analytical mindset.
  
• Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members
  

• Job Summary:

We are looking for a seasoned AI & Data Science Architect to lead and support the Bank's strategic initiatives in AI and Data Science. This role requires a visionary technologist with hands-on experience in designing scalable AI/ML systems, translating complex business challenges into AI-driven solutions, and driving MLOps best practices. The ideal candidate will collaborate across business and technical teams to ensure robust data pipelines, model lifecycle governance, infrastructure scalability, and responsible AI adoption.

Key Responsibilities:

• Architect end-to-end AI and Data Science solutions that ensure scalability, performance, and security. Design robust AI/ML infrastructures, incorporating data pipelines, model training, deployment, and monitoring frameworks.
• Translate business needs into AI strategies and corresponding technical solutions.
• Lead the model lifecycle including design, development, deployment, and monitoring with full MLOps integration.
• Champion MLOps practices such as CI/CD for models, reproducibility, versioning, and model governance.
• Collaborate with cross-functional teams—including data engineers, ML practitioners, and domain experts—to align AI initiatives with enterprise objectives.
• Ensure all AI solutions comply with regulatory, ethical, and security standards including explainability and data privacy.

• 15-25 years of experience in AI, data science, or a related field.
• Proficiency in programming languages such as Python, R, and Java.
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of data engineering concepts, data warehousing, and ETL processes.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Knowledge of big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to work with large datasets and derive actionable insights from them.
• Excellent problem-solving skills and a strong analytical mindset.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.

Leadership & Project Management:

Team Leadership: Ability to mentor and lead multidisciplinary AI/DS teams. Project Execution: Skilled in estimating, planning, and executing technical projects in enterprise environments. Stakeholder Engagement: Strong communication skills to translate business objectives into technical deliverables and act as a liaison between technical teams and business stakeholders.

Responsibilities:

• Data Science and AI: Expertise in data science, including data analysis, data processing, and model development. Proficiency in Python for data science applications. Strong understanding and experience in artificial intelligence (AI) and machine learning (ML) algorithms.Natural Language Processing (NLP): Experience in developing and deploying NLP models. Understanding of large language models (LLMs) and their applications.Generative AI: Knowledge and practical experience with generative AI models and techniques. Ability to develop and integrate generative AI solutions into various applications.Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex data insights and AI solutions effectively to non-technical stakeholders.Continuous Learning and Improvement: Stay updated with the latest advancements in AI, ML, NLP, and generative AI. Continuously improve and optimize existing models and algorithms.

Desired Candidate:

• Experience: 4+ years of hands-on experience in data science, AI, ML, NLP, and generative AI.Skills: Strong problem-solving skills and the ability to think critically. Excellent communication and collaboration skills.Mindset: Self-starter with a passion for innovation and continuous learning. Ability to thrive in a fast-paced and dynamic environment.

Technical Skills:

• Data Science, Python, AI, ML, NLP, LLM, Generative AI

Responsibilities:

• Data Science and AI: Expertise in data science, including data analysis, data processing, and model development. Proficiency in Python for data science applications. Strong understanding and experience in artificial intelligence (AI) and machine learning (ML) algorithms.Natural Language Processing (NLP): Experience in developing and deploying NLP models. Understanding of large language models (LLMs) and their applications.Generative AI: Knowledge and practical experience with generative AI models and techniques. Ability to develop and integrate generative AI solutions into various applications.Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex data insights and AI solutions effectively to non-technical stakeholders.Continuous Learning and Improvement: Stay updated with the latest advancements in AI, ML, NLP, and generative AI. Continuously improve and optimize existing models and algorithms.

Desired Candidate:

• Experience: 4+ years of hands-on experience in data science, AI, ML, NLP, and generative AI.Skills: Strong problem-solving skills and the ability to think critically. Excellent communication and collaboration skills.Mindset: Self-starter with a passion for innovation and continuous learning. Ability to thrive in a fast-paced and dynamic environment.

Technical Skills:

• Data Science, Python, AI, ML, NLP, LLM, Generative AI

Position title:Data Science & AI Engineer

Experience:6-8 years

Notice period : 1 Month -Immediate joiner

Skills set : MLOPS,Gen AI,SLM,LLM,Python , Data science , ai engineer

Roles and responsibilities:

• Develop, implement, and optimize machine learning models and AI algorithms to solve complex business
  problems.
  
• Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures
  
• Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs.
  
• Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.).
  
• Work closely with clients to understand their data and AI needs and provide tailored solutions.
  
• Collaborate with cross-functional teams to integrate AI solutions into broader software architectures.
  
• Mentor junior team members and provide guidance in implementing best practices in data science and AI development.
  
• Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies.
  

Requirement:

• 5+ years of experience in data science, machine learning, and AI technologies.
  
• Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS.
  
• Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers.
  
• Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  
• Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL).
  
• Experience with MLOps practices and deployment of models in production environments.
  
• Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets.
  
• Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc.
  
• Client-facing experience with strong communication skills to manage and engage stakeholders.
  
• Strong problem-solving skills and analytical mindset.
  
• Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members