Data Scientist (Gen AI)

AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage.

Key Responsibilities:

AI/ML & Gen AI Development:

• Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models.
• Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems.
• Perform prompt engineering, fine-tuning, and dataset-specific model optimization.
• Implement cutting-edge research from AI/ML and Gen AI domains.
• Work on cloud-based deployments of AI/ML models for scalability and production readiness.

Leadership & Mentoring:

• Troubleshoot AI/ML, Gen AI, and cloud deployment challenges.
• Mentor junior team members and contribute to their skill development.
• Identify team members for mentoring, hiring, and technical initiatives.
• Ensure smooth project execution, deadline management, and client interactions.

Research & Innovation:

• Explore and implement recent AI/ML research in practical applications.
• Contribute to research publications, internal knowledge-sharing, and AI innovation.

Qualifications:

• 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs.
• Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge).

Skills:

• Programming: Strong expertise in Python and relevant ML/AI libraries.
• AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs.
• Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools.
• Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines.

Communication & Leadership:

Note - We would prefer Pune based candidates. Candidates joining immediately will be prefered.