Website:
agrocorp.com.sg
Job details:
🚀 We’re Hiring: Machine Learning Engineer (LLM Exposure)
📍 Delhi · Full-Time
We’re looking for a hands-on Machine Learning Engineer with experience building and deploying ML models, and exposure to LLM-based applications.
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🔧 What You’ll Do
🤖 ML & LLM Application Development
▸ Build, train, and deploy ML models (NLP, recommendations, basic CV)
▸ Work on LLM-powered applications (chatbots, summarization, Q&A systems)
▸ Integrate APIs like OpenAI / Anthropic into real-world workflows
▸ Assist in building simple RAG pipelines using existing frameworks
🛠️ Backend & API Development
▸ Develop APIs for ML models using FastAPI or Flask
▸ Work with databases (PostgreSQL, Redis) for storing model outputs and metadata
▸ Collaborate with frontend/backend teams to integrate ML features
📊 Model Evaluation & Improvement
▸ Evaluate model performance using standard metrics
▸ Perform basic prompt tuning and improve output quality
▸ Debug model outputs and improve reliability over time
☁️ Deployment & MLOps (Basic)
▸ Deploy models on cloud platforms (AWS / GCP / Azure)
▸ Use Docker for containerization
▸ Support CI/CD pipelines and model versioning
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✅ What We’re Looking For
▸ 3–5 years of experience in ML/AI development
▸ Strong Python skills
▸ Experience with at least one: PyTorch / TensorFlow / scikit-learn
▸ Basic experience with LLMs (prompting, API usage, simple RAG)
▸ Familiarity with frameworks like LangChain or LlamaIndex (nice to have, not mandatory)
▸ Experience building APIs (FastAPI / Flask)
▸ Understanding of databases and backend systems
▸ Exposure to cloud platforms (AWS / GCP / Azure)
▸ Problem-solving mindset and willingness to learn
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⭐ Nice to Have
▸ Experience working on chatbot or GenAI applications
▸ Basic understanding of vector databases (Pinecone, Weaviate, etc.)
▸ Familiarity with Docker and deployment workflows
▸ Exposure to startup or fast-paced environments
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🛠️ Tech Stack
Python · PyTorch / TensorFlow · FastAPI · Docker · PostgreSQL · Redis · OpenAI API · LangChain (optional) · AWS / GCP / Azure
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💼 What We Offer
▸ Competitive salary (₹20–30 LPA)
▸ High-growth environment with hands-on learning
▸ Opportunity to work on real-world AI applications
▸ Collaborative and fast-moving team
▸ Flexible working setup
Click on Apply to know more.