Machine Learning Engineer - Mid Level
CapeStart is seeking a Mid-level Machine Learning Engineer to design, develop, and deploy production-grade AI systems in the AI & Data Science department. The role involves working with traditional ML models, deep learning, and integrating Generative AI into core products. The candidate is expected to handle the full ML lifecycle including MLOps and cloud infrastructure. Strong experience in Python, PyTorch/TensorFlow, and LLM orchestration is essential.
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Experience
3-6 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
CapeStart is seeking a Mid-level Machine Learning Engineer to design, develop, and deploy production-grade AI systems in the AI & Data Science department. The role involves working with traditional ML models, deep learning, and integrating Generative AI into core products. The candidate is expected to handle the full ML lifecycle including MLOps and cloud infrastructure. Strong experience in Python, PyTorch/TensorFlow, and LLM orchestration is essential.
TAL's take
Solid mid-tier role focusing on modern AI/LLM deployment, though company tier is unknown.
The JD provides a clear scope with specific tech stacks for both traditional ML and Generative AI.
Must haves
- Strong proficiency in Python and its ecosystem.
- Deep expertise in PyTorch or TensorFlow/Keras.
- Hands-on experience with LLM APIs and Open-Weight models.
- Advanced Prompt Engineering skills.
- Experience with MLOps platforms and SQL.
- Familiarity with cloud providers like AWS, Azure, or GCP.
Tools and skills
Nice to have: multi-modal models, fine-tuning.
About the company
Unfamiliar company, default mid-tier.