West Bengal Computer assistant Jobs – 90 Open Jobs Today

Senior AI/ML Engineer
JF Knowledge Centre Pvt Ltd —Kolkata, West Bengal
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- Databases
Quick apply
1h
Executive Assistant - Assurance - National - ASU - FAAS - Financial&AccountingAdv - Kolkata
EY —Kolkata, West Bengal
- Doctoral degree
- English
- Master's degree
Executive Assistant - SaT - National - CBS - AWS - SaT Executive Assistants - Kolkata
EY —Kolkata, West Bengal
- English
- Master's degree
- AWS
Professor
Brainware University —Kolkata, West Bengal
- Email
- Computer science
- Doctoral degree
- Computer Science
Professor/ Associate Professor/Assistant Professor/: Cyber Science and Technology(CST)
Brainware University —Kolkata, West Bengal
- Full-time
- Doctoral degree
- Master's degree
- APIs
Assistant Professor of Physics
Brainware University —Kolkata, West Bengal
- Email
- Doctoral degree
- Research
- Teaching experience
Office Assistant
EDUCARE COMPUTER ACADEMY —Hatibagan, Kolkata, West Bengal
- ₹5,000 a month
- Full-time
- Sales
- Customer service
- Bachelor's degree
Quick apply
9d
Assistant Professor: Cyber Science and Technology
Brainware University —Kolkata, West Bengal
- Full-time
- Doctoral degree
- Master's degree
Assistant Professor of Digital Marketing
Brainware University —Kolkata, West Bengal
- Full-time
- Doctoral degree
- Marketing
- Research
Assistant Professor: Computational Sciences
Brainware University —Kolkata, West Bengal
- Email
- Computer science
- Doctoral degree
- Research

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Managing office of the Partner (Practice Leader) · Managing communication - responding responsibly to emails / communications with internal and external…

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Senior AI/ML Engineer

JF Knowledge Centre Pvt Ltd
Kolkata, West Bengal

Quick apply

Job details

Full-time
₹15,00,000 - ₹25,00,000 a year
1 hour ago

Qualifications

TensorFlow
AJAX
Image processing
Cloud infrastructure
Azure
Law
Kubernetes
PyTorch
Computer vision
Software deployment
R
Git
Google Cloud Platform
Master's degree
Databases
Microservices
AWS
Machine learning
Deep learning
Natural language processing
OpenCV
APIs
Keras
AI
Python
MySQL

Full job description

Job Purpose:

We are seeking a highly experienced Lead AI/ML Engineer to drive the design, development, and deployment of advanced AI solutions across the organization. The ideal candidate will have 6–10 years of experience in AI/ML, with strong expertise in Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform architecture.

As a Lead AI/ML Engineer, you will define AI strategy, architect scalable AI systems, and lead a team of engineers and data scientists to build production-ready AI solutions. You will play a critical role in translating business problems into innovative AI-driven products, leveraging technologies such as LLMs, Retrieval-Augmented Generation (RAG), AI agents, and multimodal AI systems.

You will collaborate closely with Product, Engineering, and Data teams to build intelligent, scalable, and high-performance AI platforms that power next-generation applications.

Key Responsibilities:

AI Strategy & Technical Leadership

Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions.

Define and drive the AI/ML roadmap, ensuring alignment with business objectives and product strategy.

Provide technical leadership and mentorship to AI/ML engineers and data scientists.

Establish best practices for AI model development, experimentation, deployment, and monitoring.

Generative AI & LLM Systems

Design and develop Generative AI applications using LLMs such as GPT, LLaMA, Gemini, or custom models.

Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.

Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization.

Design AI agent architectures using frameworks like LangChain, LangGraph, and LlamaIndex.

AI/ML Model Development:

Develop and deploy NLP, Computer Vision, and multimodal AI models for real-world business applications.

Implement advanced deep learning architectures using PyTorch, TensorFlow, or Keras.

Identify and evaluate pre-trained and foundation models suitable for specific use cases.

Drive data preprocessing, feature engineering, and dataset curation for model training.

AI Platform & InfrastructureDesign scalable AI infrastructure and MLOps pipelines for model training, deployment, and monitoring.

Deploy AI solutions across cloud platforms (AWS, Azure, GCP) or hybrid/on-premise environments.

Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise applications.

Lead efforts in model optimization, inference acceleration, and resource efficiency.

Performance Optimization & Quality

Conduct model evaluation, benchmarking, and continuous performance optimization.

Optimize AI systems for latency, scalability, and cost efficiency.

Implement testing, monitoring, and observability frameworks for AI systems in production.

Collaboration & Innovation

Work closely with Product, Engineering, and Data teams to define AI-powered product features.

Stay at the forefront of AI research and emerging technologies, evaluating their business impact.

Promote a culture of experimentation, innovation, and knowledge sharing within the AI team.

Required Skills & Experience

AI & Machine Learning

6–10 years of experience in AI/ML development and deployment.

Strong expertise in supervised and unsupervised learning techniques, including regression, classification, clustering, SVMs, and neural networks.

Generative AI & LLMs

Hands-on experience with LLM training, fine-tuning, prompt engineering, and optimization.

Experience building GenAI applications such as chatbots, AI assistants, and document intelligence systems.

NLP & Computer Vision

Strong experience in Natural Language Processing and Computer Vision.

Hands-on expertise with Transformers, OpenCV, YOLO, and R-CNN architecture.

AI Agents & Frameworks

Experience with multi-agent frameworks such as LangChain, LangGraph, and LlamaIndex.

Deep Learning Frameworks

Proficiency in PyTorch, TensorFlow, or Keras.

Programming

Strong programming skills in Python with experience in API development and microservices.

Cloud & AI Infrastructure

Experience deploying AI models on AWS, Azure, or Google Cloud Platform.

Familiarity with MLOps pipelines, model serving, and AI lifecycle management.

Vector Databases

Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.

Performance Optimization

Experience optimizing LLM inference for speed, cost, and memory efficiency.

Leadership & Collaboration

Pay: ₹1,500,000.00 - ₹2,500,000.00 per year

Work Location: In person

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computer assistant jobs in west bengal

Senior AI/ML Engineer

Executive Assistant - Assurance - National - ASU - FAAS - Financial&AccountingAdv - Kolkata

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Professor

Professor/ Associate Professor/Assistant Professor/: Cyber Science and Technology(CST)

Assistant Professor of Physics

Office Assistant

Assistant Professor: Cyber Science and Technology

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Assistant Professor: Computational Sciences

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