AI/ML Backend Engineer

4 days ago

Salt Lake City, West Bengal, India SentientGeeks Software and Consultancy Pvt. Ltd. Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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

Location: Onsite

Experience: 2-3 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

Job Type: Full-time

Benefits:

  • Health insurance
  • Provident Fund

Ability to commute/relocate:

  • Salt Lake City, West Bengal: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

  • How many years of experience you have in AI/ML Development ?
  • Are you comfortable integrating AI outputs into BI dashboards (Power BI / Tableau)?
  • Have you used Git / GitHub for version control and collaboration?
  • What's the CTC you're getting ?
  • What's the CTC you're expecting ?

Experience:

  • Python: 3 years (Required)

Work Location: In person

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