West Bengal Data architect data engineering 3 Jobs – 39 Open Jobs Today

AIML Engineer (Agentic AI and Computer vision)
SentientGeeks —Kolkata, West Bengal
- Azure
- Databases
- AWS
1d
Senior Software Engineer, Windows/Desktop Applications - Kolkata, India
Speechify —Kolkata, West Bengal
- Remote
- Doctoral degree
- Windows
- C++
Technology Platform Engineer
Accenture —Kolkata, West Bengal
- Full-time
- SQL
- Scripting
- AI
IN_Manager_AI Led Product Manager_Digital Integration_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Azure
- DevOps
- Master's degree
6d
Manager, Configuration Implementation
Cotality —Kolkata, West Bengal
- Full-time
- Software troubleshooting
- SQL
- Leadership
- Paid holidays
- Health insurance
Lead DevOps Engineer
Unified Infotech —Kolkata, West Bengal
- Full-time
- Azure
- B.Sc
- DevOps
MIS/Data & Integration Lead
Medhavi —Kolkata, West Bengal
- Microsoft Outlook
- Computer Science
- Master's degree
Quick apply
Sr. Tech Lead - Application Development Microsoft N 4D
Genpact India Pvt. Ltd. —Kolkata, West Bengal
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
9d
Does Codebuddy offer benefits?
Codebuddy —Kolkata, West Bengal
- Remote
- Software troubleshooting
- Databases
- SQL
- Health insurance
- Work from home
14d
Pre Sales Associate
Sundew —Kolkata, West Bengal
- Full-time
- Engineering
- Master's degree
- Project management

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AIML Engineer (Agentic AI and Computer vision)

SentientGeeks -
Kolkata, West Bengal

Apply Now

Job details

1 day ago

Qualifications

Image processing
Cloud infrastructure
Azure
Kubernetes
PyTorch
Computer vision
Git
Databases
AWS
Database management
Docker
OpenCV
Software development
GitHub
APIs
AI
Python

Full job description

SentientGeeks is seeking a highly skilled and motivated AI/ML Engineer to join our engineering team. This role focuses on the convergence of Generative AI and Computer Vision to architect and deploy sophisticated "agentic" systems. The successful candidate will be responsible for developing autonomous AI workflows, integrating advanced visual perception capabilities, and delivering scalable enterprise-grade solutions. You will work at the intersection of research and production, transforming complex business requirements into high-impact AI applications.

Key Responsibilities

Agentic System Development: Design and implement intelligent agent architectures capable of autonomous reasoning, task planning, and execution.
Computer Vision Integration: Leverage cutting-edge models (e.g., YOLO, Vision Transformers) to enable AI agents to interpret, analyze, and process visual data effectively.
Knowledge Retrieval Optimization: Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines, ensuring seamless integration of multi-modal data for context-aware responses.
Workflow Orchestration: Utilize industry-standard frameworks, including LangChain and LangGraph, to build modular, resilient, and scalable AI service chains.
Cloud Deployment & Scalability: Manage the end-to-end lifecycle of AI solutions, including deployment, monitoring, and performance optimization on cloud infrastructure (AWS, Azure, or GCP).
Cross-Functional Collaboration: Collaborate with product and engineering teams to translate abstract business objectives into actionable technical prototypes and production-ready systems.

Technical Requirements

Experience: 2–3 years of professional experience in software development with a dedicated focus on AI/ML lifecycle management.
Programming: Mastery of Python for robust, production-quality code.
AI/ML Foundational Knowledge: Proven expertise in LLMs, RAG, and Computer Vision architectures.
Frameworks & Tooling:
Orchestration: Hands-on experience with LangChain or LangGraph.
Vision Libraries: Proficiency in OpenCV, PyTorch, YOLO, Detectron2, SAM, or ViT.
Database Management: Experience with vector databases such as Chroma, Pinecone, or FAISS.
Cloud Infrastructure: Demonstrated experience with major cloud platforms (AWS, Azure, or GCP).
Problem-Solving: Proven ability to decompose complex technical requirements into scalable, iterative development milestones.

Preferred Qualifications

Candidates possessing the following attributes will be given priority:

Production Lifecycle: Experience transitioning models from development environments (Jupyter/Colab) to live, high-concurrency APIs.
Edge AI & Inference: Proficiency in model optimization techniques such as ONNX or TensorRT for low-latency inference.
MLOps Proficiency: Experience with containerization (Docker/Kubernetes) and tracking tools (MLflow, Weights & Biases).
Advanced Training: Proven experience with Parameter-Efficient Fine-Tuning (PEFT/LoRA) and custom training on specialized datasets.
Multi-Modal Expertise: Practical application of modern multi-modal architectures (e.g., Llama Vision, Claude 3.5 Sonnet, GPT-4o).
Community Engagement: Evidence of active contributions to open-source AI projects or a strong portfolio of independent AI/ML developments on GitHub.

Apply Now

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data architect data engineering 3 jobs in west bengal

AIML Engineer (Agentic AI and Computer vision)

Senior Software Engineer, Windows/Desktop Applications - Kolkata, India

Technology Platform Engineer

IN_Manager_AI Led Product Manager_Digital Integration_Advisory_Kolkata

Manager, Configuration Implementation

Lead DevOps Engineer

MIS/Data & Integration Lead

Sr. Tech Lead - Application Development Microsoft N 4D

Does Codebuddy offer benefits?

Pre Sales Associate

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