Data Science AI/ML Lead in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Science AI/ML Lead based in India.

This role sits at the forefront of applied artificial intelligence, driving the design and deployment of enterprise-grade AI/ML systems that power real-world business transformation.
You will lead the end-to-end architecture of scalable machine learning solutions, including LLM-powered applications, AI agents, and intelligent automation workflows.
The position combines hands-on technical leadership with strategic ownership of AI infrastructure, MLOps, and production deployment at scale.
You will work across cloud-native environments to build robust data pipelines, APIs, and model-serving systems that integrate seamlessly into enterprise platforms.
A key part of the role involves mentoring engineering teams and shaping best practices in AI engineering and machine learning operations.
This is a high-impact leadership position for someone passionate about building production-ready AI systems in fast-paced, enterprise environments.

• Lead the design, architecture, development, and deployment of enterprise-scale AI/ML solutions.
• Build and implement AI agents, LLM-based systems, and intelligent automation workflows.
• Define and drive MLOps practices, including CI/CD pipelines, model versioning, and deployment standards.
• Design scalable AWS-based data pipelines and analytics architectures using modern cloud services.
• Develop production-grade APIs and machine learning model serving infrastructure.
• Integrate AI/ML systems with enterprise platforms such as SAP, Salesforce, and other business systems.
• Mentor and guide engineering teams, providing technical leadership and architectural direction.
• Ensure performance, scalability, and reliability of deployed machine learning systems in production environments.

Requirements:

• Extensive experience in data science, machine learning engineering, or AI architecture roles.
• Strong programming expertise in Python with deep knowledge of production-grade development practices.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Experience building AI agents, working with LLMs, and integrating intelligent automation systems.
• Strong knowledge of AWS services including Glue, Lambda, Athena, S3, Step Functions, SNS, SES, and IAM.
• Experience with MLOps practices, CI/CD pipelines, Docker, and containerized deployments.
• Proven ability to design and deploy RESTful APIs and production ML systems at scale.
• Experience integrating machine learning solutions into enterprise environments and business systems.
• Strong leadership, mentoring, and communication skills with the ability to guide technical teams.
• Experience working in fast-paced, product-driven or enterprise AI environments is preferred.

Benefits:

• Competitive salary package aligned with senior AI/ML leadership roles (up to 40–50 LPA)
• Opportunity to lead enterprise-scale AI transformation initiatives
• Exposure to cutting-edge LLM, AI agent, and MLOps technologies
• Remote or hybrid flexibility based on location
• Work on large-scale cloud-native architectures using modern AWS ecosystems
• Leadership opportunity with strong ownership over AI strategy and execution
• Collaborative engineering culture focused on innovation and continuous learning