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Tasknera HR Solution · Gurugram, Haryana

AI/ML Engineer

Hybridfull timePosted 14 days ago
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Stack mentioned

artificial-intelligencegenerative-aimachine-learningragvector-databasesllmprompt-engineeringagentic-aideep-learningrest-apidata-engineeringdevopspythonsqlfastapitensorflowpytorchkerasnlplangchain

GenAI / AI-ML Engineer

Location: Gurugram (Hybrid)

Employment Type: Full-Time

Experience: 4–6 Years

Budget: 18-20 LPA (MAX)

Noida/NCR Local Candidates Only

Immediate Joiners Only (Serving Notice)

Key Responsibilities

- Design, develop, and deploy scalable AI/ML and Generative AI solutions.

- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.

- Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.

- Fine-tune, evaluate, and monitor machine learning and deep learning models.

- Build REST APIs and backend services for AI applications.

- Design data preprocessing, feature engineering, and model evaluation pipelines.

- Integrate structured and unstructured data sources to deliver contextual AI solutions.

- Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.

- Ensure scalability, reliability, and performance of AI applications in production environments.

Programming & Development

- Strong hands-on experience in Python and SQL.

- Experience building APIs using FastAPI or similar frameworks.

- Strong understanding of software engineering best practices and Agile methodologies.

Machine Learning & Deep Learning

- Hands-on experience with:

- Scikit-learn

- TensorFlow

- PyTorch

- Keras

- Strong understanding of:

- Regression

- Classification

- Clustering

- Feature Engineering

- Model Evaluation

- Hyperparameter Tuning

NLP & Generative AI

- Minimum 1+ year of hands-on experience in GenAI/LLM projects.

- Experience with:

- Large Language Models (LLMs)

- Prompt Engineering

- RAG Architectures

- Agentic AI / Multi-Agent Systems

- LangChain

- LangGraph

- OpenAI APIs

- Hugging Face

- LangSmith

RAG & Vector Databases

- Experience working with:

- Pinecone

- FAISS

- Knowledge of embedding models and semantic search architectures.

- Experience with RAG evaluation metrics such as RAGAS, BLEU, and ROUGE.

Cloud & DevOps

- Hands-on experience with AWS services:

- EC2

- S3

- SageMaker

- Bedrock

- Experience with Docker, Git, JIRA, and CI/CD practices.

Pay: Up to ₹2,000,000.00 per year

Application Question(s):

- Relevant Experience to Gen AL/ML Engineer?

- Current CTC and Expected CTC

- Notice period days?

Work Location: In person

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