Experience
2 - 8 yrs
Job Location
Gurugram, India
Vacancy
1
Designation
Lead Machine Learning Engineer
Job Type
Not specified
Job Description
Job Summary
We are seeking a talented and passionate AI Developer with 25 years of experience to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate should have strong programming skills, hands-on experience with Large Language Models (LLMs), machine learning frameworks, and modern AI technologies. The role involves collaborating with cross-functional teams to build scalable AI solutions that solve real-world business problems.
Key Responsibilities
- Design, develop, and deploy AI/ML applications and intelligent automation solutions.
- Build applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, or open-source models.
- Develop Retrieval-Augmented Generation (RAG) based applications using vector databases.
- Create AI agents and workflow automation using modern AI frameworks.
- Integrate AI services with existing enterprise applications through APIs.
- Develop RESTful APIs and backend services for AI applications.
- Fine-tune, optimize, and evaluate machine learning and LLM models.
- Work with structured and unstructured datasets for model training and inference.
- Collaborate with product managers, business analysts, and software engineers to understand business requirements.
- Optimize AI solutions for performance, scalability, security, and cost.
- Implement monitoring, logging, and continuous improvement for AI applications.
- Stay updated with the latest advancements in Artificial Intelligence, Generative AI, and Machine Learning.
Required Skills
Programming
- Python (Mandatory)
- SQL
- JavaScript or TypeScript (Preferred)
AI & Machine Learning
- Machine Learning fundamentals
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Embeddings
- Vector Search
- Retrieval-Augmented Generation (RAG)
Frameworks & Libraries
- LangChain
- LangGraph (Preferred)
- LlamaIndex
- Hugging Face Transformers
- PyTorch or TensorFlow
- Scikit-learn
APIs & Backend
- FastAPI
- Flask
- REST APIs
- API Integration
Databases
- PostgreSQL
- MongoDB
- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus)
Cloud Platforms
Experience with one or more:
- AWS
- Azure
- Google Cloud Platform (GCP)
DevOps & Tools
- Git/GitHub
- Docker
- Kubernetes (Preferred)
- CI/CD pipelines (Good to have)
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- Experience building production-grade AI applications.
- Knowledge of AI deployment, MLOps, and model lifecycle management.
- Familiarity with OpenAI APIs, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs.
- Understanding of AI security, responsible AI, and data privacy best practices.
Required Experience
- 2-5 years of software development experience.
- At least 2-3 years of hands-on experience in AI/ML or Generative AI projects.
- Experience integrating AI solutions into enterprise applications.
- Experience working in Agile/Scrum environments.
No Referrers Available
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