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Job Description
Company Description Corporatehunt Pvt. Ltd. is a dynamic IT services provider specializing in IT training, staff augmentation, database management, and QA testing services. The organization serves clients across BFSI, NBFC, payment, FMCG, and capital market sectors with tailored solutions that align with their specific business needs. A youthful yet experienced team drives a vision focused on client success, employee growth, and meaningful societal impact. Corporatehunt promotes a culture of continuous learning, keeping team members current with evolving industry trends. The company also actively participates in social initiatives and corporate responsibility programs, reinforcing its commitment to the communities it serves.
We're Hiring: AI/ML Engineers | 2 Positions
Location: Kanjurmarg, Mumbai
Experience: 2+ Years
Budget: Up to 11 LPA
Open Positions: 2
We're looking for AI/ML Engineers who have a strong understanding of both Machine Learning and Generative AI, with hands-on experience in at least one of these areas.
If your strength is Machine Learning:- Build and deploy ML models from scratch
- Hands-on experience with custom dataset development and model fine-tuning
- Experience with fine-tuning LLMs / language models
- Strong understanding of ML model development and evaluation
- Hands-on experience building with MCP (Model Context Protocol)
- Experience building AI Agents, including multi-agent setups
- Experience with agent orchestration / harnessing across agents
- Strong hands-on experience building RAG pipelines
- RAG systems should be built and deployed in production, not just prototyped
- 2+ years of relevant experience in AI/ML
- Good understanding of both Machine Learning and Generative AI
- Strong hands-on development experience in at least one area
- Ability to work on real-world AI/ML solutions
More Info
Key Skills
model fine-tuning
Generative AI
AI Agents
RAG systems
MCP Model Context Protocol
custom dataset development
ML model development
multi-agent setups
RAG pipelines
agent orchestration
fine-tuning LLMs
