Artificial Intelligence/Machine Learning Engineer

3 days ago

Kolkata, India SentinentGeeks Software & Consultancy Pvt Ltd Full time

Job Description :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., 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 framework (ref:hirist.tech)

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