๐ค Hiring: Career Opportunity: Lead – GenAI
Location: Pune, Mumbai
Experience: 3–6 years
Compensation: ₹12L – ₹25L / year
Job Source: Cutshort.io
Role Overview
Seeking a hands-on and solution-oriented Senior Data Scientist – Generative AI to join its growing AI practice. This role is ideal for professionals who thrive in designing and deploying GenAI solutions on AWS, enjoy working directly with customers, and can lead end-to-end implementations.
You will play a key role in architecting AI solutions, driving project delivery, and mentoring junior team members while working on cutting-edge projects across industries.
Key Responsibilities
- Design and implement end-to-end Generative AI solutions for customers on AWS.
- Translate business challenges into GenAI use cases.
- Own technical delivery: data preparation, model integration, prompt engineering, deployment, and monitoring.
- Lead project execution, manage timelines, and coordinate stakeholder communications.
- Provide technical guidance and mentorship to junior data scientists and engineers.
- Develop reusable components and reference architectures to accelerate delivery.
- Stay updated with AWS offerings like Bedrock, SageMaker, and LangChain integrations.
Required Skills & Experience
- 3–7 years of experience in Data Science/AI/ML, with 2–3 years in Generative AI projects.
- Proficiency in AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, S3).
- Experience with LLMs, prompt engineering, RAG pipelines, and deployment best practices.
- Strong programming skills in Python, with exposure to Hugging Face, LangChain.
- Problem-solving ability and independence in customer-facing roles.
- Experience collaborating with Systems Integrators (SIs) or startups in India is a plus.
Soft Skills
- Strong verbal and written communication for effective customer engagement.
- Ability to lead discussions, manage milestones, and coordinate across stakeholders.
- Team-oriented with a proactive and ownership-driven mindset.
What Offers
- Opportunity to work on cutting-edge Generative AI projects across industries.
- Collaborative, startup-like work environment with flexibility and ownership.
- Exposure to full-stack AI/ML project lifecycle and client-facing roles.
- Competitive compensation and learning opportunities in the AWS AI ecosystem.
๐ Apply now
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