Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in calcutta
>
SentientGeeks
>
AI/ML Engineer

AI/ML Engineer

SentientGeeks

2 years

0 Lacs

calcutta

Posted:5 hours ago| Platform: GlassDoor logo

Apply

Skills Required

ai ml learning python database tuning retrieval data preprocessing model training evaluation fastapi flask git github collaborative inference mlflow airflow development integration workflow orchestration packaging visualization power design support query automation monitoring architecture communication teamwork

Work Mode

On-site

Job Type

Full Time

Job Description

SentientGeeks is Looking for an AI/ML Backend Engineer (2–3 Years Experience)

Location: Onsite

Experience: 2+ Years

Employment Type: Full-time

About the Role

SentientGeeks is seeking a passionate and skilled AI/ML Backend Engineer to join our growing Artificial Intelligence team. The ideal candidate should have a strong foundation in Deep Learning, NLP, Python, Machine Learning, and database management, with hands-on experience in building and integrating backend systems for AI-driven applications.

Must-Have (Mandatory Skills)

Deep Learning & NLP: Practical experience in building, fine-tuning, and deploying deep learning models for NLP tasks such as embeddings, classification, and retrieval (RAG) pipelines.

Machine Learning: Solid understanding of ML workflows — data preprocessing, model training, evaluation, and deployment.

Python Programming: Strong proficiency in Python for backend and ML model integration.

Vector Databases: Hands-on experience with one or more — FAISS, Pinecone, Weaviate, or PyMilvus.

Databases:

SQL: Strong in MySQL

NoSQL: Strong in MongoDB

Backend Development: Expertise in developing RESTful APIs / microservices using FastAPI, Flask, or Django.

Data Handling: Ability to manage structured and unstructured data in ML pipelines.

Version Control: Proficiency with Git / GitHub / GitLab for collaborative development.

Model Deployment: Experience deploying AI/ML models into production environments and optimizing inference performance.

Good-to-Have (Preferred / Bonus Skills)

MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or Seldon.

Computer Vision: Understanding of image-based model development and deployment.

RPA Integration: Knowledge of Blue Prism or UiPath integration with AI components.

Generative AI & LLM Tools: Experience with LangChain, LangGraph, LangSmith, Langflow, and similar frameworks.

Agentic AI Frameworks: Exposure to AutoGen (Microsoft) or CrewAI.

Workflow Automation: Familiarity with n8n, Airflow, or other orchestration tools.

Vector DB Optimization: Experience in tuning FAISS, Weaviate, or PyMilvus for scalability.

Containerization: Working knowledge of Docker for packaging and deployment.

Event Streaming: Basic understanding of Kafka or RabbitMQ.

GenAI Integrations: Practical knowledge of OpenAI, Hugging Face, or custom LLMs.

Business Intelligence (BI): Exposure to BI dashboards or data visualization tools (e.g., Power BI, Tableau).

Key Responsibilities

Design and maintain scalable backend systems to support AI/ML workflows.

Integrate and serve deep learning/NLP models in production environments.

Manage and query vector databases for semantic and similarity-based retrieval.

Build secure and optimized APIs for AI-driven applications.

Collaborate with data scientists to transform prototypes into deployable solutions.

Implement automation and monitoring for model lifecycle management.

Contribute to AI architecture discussions involving GenAI and agentic workflows.

Educational Qualification

B.Tech / M.Tech / MCA / M.Sc in Computer Science, IT, or equivalent field.

Soft Skills

Strong analytical and problem-solving mindset.

Excellent communication and teamwork abilities.

Eagerness to learn and explore new AI, MLOps, and GenAI frameworks

More Jobs at SentientGeeks

Business Development Executive

Greater Kolkata Area

1 - 1 yrs

Salary: Not disclosed

Online Bidder

Greater Kolkata Area

1.0 - 3.0 yrs

Salary: Not disclosed

QA Manual Tester

Kolkata, West Bengal

Experience: Not specified

Salary: Not disclosed

MERN Stack Developer

Kolkata, West Bengal

Experience: Not specified

Salary: Not disclosed

Java Full Stack Developer

Kolkata, West Bengal

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

SentientGeeks

Login to

Please Verify Your Phone or Email

Confirm Action

AI/ML Engineer