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Senior Deep Learning Engineer
Senior Deep Learning EngineerkrtrimaIQ Cognitive Solutions • Delhi, India
Senior Deep Learning Engineer

Senior Deep Learning Engineer

krtrimaIQ Cognitive Solutions • Delhi, India
2 days ago
Job description

Job Description : Senior Deep Learning Engineer (5+ Years Experience)

Location :  Bangalore (Hybrid)

Company :  KrtrimaIQ Cognitive Solutions

Employment Type :  Full-Time

Experience Required :  5+ Years

About the Role

We are looking for a highly skilled Senior Deep Learning Engineer with strong expertise in traditional Data Science, Computer Vision, NLP, and hands-on GenAI model development. The ideal candidate must have solid production-level experience and excellent Python programming skills to build scalable AI / ML solutions for enterprise clients.

Key Responsibilities

Design, develop, and deploy deep learning models for

Computer Vision, NLP, and GenAI use cases

Build end-to-end ML pipelines, including

data preprocessing, model training, evaluation, and deployment

Work on

production-grade AI systems

, optimizing models for performance, scalability, and latency.

Develop and fine-tune

LLMs, diffusion models, and transformer-based architectures

Collaborate with cross-functional teams to understand business problems and deliver AI-driven solutions.

Implement best practices for

MLOps, versioning, automation, and model monitoring

Conduct research on emerging deep learning methods and integrate them into product development.

Mandatory Skills

Core Expertise

Strong background in

Deep Learning

Computer Vision

, and

NLP

Proven experience in building

traditional ML and Data Science models

Hands-on experience with

Generative AI models (LLMs, transformers, diffusion, prompt engineering)

Technical Skills

Expert-level coding experience in

Python

Proficiency with : TensorFlow / PyTorch

OpenCV

Hugging Face Transformers

Scikit-learn, NumPy, Pandas

Experience deploying models using

Docker, FastAPI, Flask, or similar frameworks

Good understanding of

cloud platforms (AWS / Azure / GCP)

Preferred Skills

Experience with

MLOps pipelines

, CI / CD, model serving tools (TensorRT, ONNX)

Knowledge of vector databases, embeddings, and retrieval pipelines (RAG)

Experience implementing

real-time inference systems

Familiarity with

data engineering workflows is a bonus

Education

B.Tech / M.Tech in Computer Science, AI / ML, Data Science, or related domains.

How to Apply

Send your updated CV to nikhil.kumar@krtrimaiq.ai

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Deep Learning Engineer • Delhi, India

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