We're Hiring : AI / ML Engineer – GenAI & MLOps Focus.
📍 Job Locations : Pune & Greater Noida Only.
📅 Experience Required : 3 to 6 Years
🏢 Company : Coforge Ltd.
At Coforge Ltd. , we are looking for a passionate and skilled AI / ML Engineer with a strong foundation in machine learning, MLOps, and Generative AI. This role is ideal for professionals with 3 to 6 years of experience who are eager to work on real-world AI applications, including LLMs, NLP, Computer Vision, and Conversational AI .
📧 Apply Now!
Send your CV to : Gaurav.2.Kumar@coforge.com
For queries, reach out via WhatsApp : 9667427662
✅ Key Skills Required
Core AI / ML Skills : -
- End-to-end AI / ML solution design and architecture
- Model development, deployment, and monitoring (MLOps)
- Experience with :
- Natural Language Processing (NLP)
- Computer Vision
- Speech & Conversational AI
- Document AI
- Generative AI & LLMs (e.g., LangChain, custom LLMs)
Programming & Frameworks : -
Languages : Python, JavaML Frameworks : TensorFlow, PyTorch, Keras, Scikit-learnNLP Tools : NLTK, SpaCy, GensimAPI Frameworks : FastAPI, Flask, DjangoCloud & MLOps : -
Cloud Platforms : AWS, Azure, GCPMLOps Tools : Kubeflow, MLflowWorkflow Orchestration : Apache AirflowAI System Design : -
Neural Network Architectures : SVM, CNN, RNN, Transformers, Ensemble ModelsVector Databases (for LLMs and RAG)Microservices ArchitectureResponsible AI PracticesDatabases
SQL : PostgreSQLNoSQL : MongoDB, Neo4jSoft Skills
Strong communicationTechnical leadership and mentorshipCross-functional collaborationDocumentation and knowledge transfer🎯 What We’re Looking For
3 to 6 years of hands-on experience in AI / MLProven ability to design and deploy production-grade AI systemsProficiency in MLOps for scalable and maintainable pipelinesExperience with Cognitive AI (NLP, Vision, Speech)Hands-on with LLMs and Generative AI is a big plusCloud-native mindset with experience in AWS, Azure, or GCPStrong team player with leadership potentialPassion for staying updated with the latest in AI / ML and GenAIAbility to collaborate across teams and drive AI adoption