ML/AI Engineer (1–2 Years Experience)

Immensa is hiring Junior ML/AI Engineer who wants to work on cutting-edge AI projects that directly impact real industrial workflows. This is a rare opportunity to learn fast, build real production systems, and be mentored by senior AI engineers in a frontier-tech environment.

If you love experimenting with models, building tools, and shipping things — this role is for you.

🔍 What You’ll Do

• Train, fine-tune, and evaluate ML/LLM models for internal use cases.
• Build prototypes, run experiments, and contribute to production pipelines.
• Work with modern AI frameworks (LangChain, LlamaIndex, PyTorch, etc.).
• Help process and structure data from various sources.
• Collaborate with senior engineers to improve AI systems.
• Contribute to internal tools, evaluations, and documentation.

🧠 You’re a Great Fit If You

• Have 1–2 years of experience in ML/AI development.
• Are strong in Python and fundamentals of deep learning.
• Are curious, fast-learning, and love experimenting with new models/tools.
• Have built side projects, prototypes, or AI tools (even small ones).
• Enjoy working with unstructured data and building practical solutions.
• Thrive in fast-paced, iterative environments.

🔥 Bonus Points If You Have

• Experience with LLM fine-tuning or RAG
• Exposure to computer vision or multi-modal models
• Hands-on experience with vector DBs or orchestration frameworks
• A GitHub with meaningful experiments or projects

(Not required — we care more about curiosity + execution.)

🎯 What Success Looks Like

• Rapid skill growth and increasing ownership of modules.
• Real contributions to production AI systems.
• A strong portfolio of internal tools, experiments, and model improvements.