Senior AI/ML Engineer
Tasks
- Build generative AI solutions
- Build multimodal agents
- Collaborate with product and software teams
- Connect data sources and ground outputs in accurate information
- Deploy production-grade AI systems
- Design RAG pipelines
- Develop AI assistants and chatbots
- Evaluate model performance
- Fine-tune large language models
- Integrate AI features into workflows
- Manage embeddings and context retrieval
- Optimize prompts and mitigate hallucinations
- Process extract transform data for LLMs
Perks/Benefits
- Annual health checkup
- Flexible work arrangements
- Group personal accident insurance
- Group term life insurance
- Long service awards
- Medical insurance
- Mobile Phone Reimbursement
- Paid leave
- Pension and insurance policies
- Training and development assistance
- Travel insurance
Skills/Tech-stack
CI/CD | Docker | Embeddings | Fine Tuning | Generative AI | Git | Instruction Tuning | Kubernetes | Langchain | Language Models | Large Language Models | Multimodal agents | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | Transformer Architectures
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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