Job Title

Role - Artificial Intelligence Engineer (AI/ML Lead) Skills - AI & ML Job Locations - Pune, Greater Noida & Hyderabad Experience - 6+ years We at Coforge are hiring Artificial Intelligence Engineers with the following skill-set: Demonstrate a deep understanding and practical experience in developing and deploying AI models. Design and architect end-to-end AI/ML solutions. Utilize MLOps methodologies to streamline the development, deployment & monitoring of machine learning models. Experience in Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI. Good understanding of Document AI development processes, models & applications. Understanding of working on LLMs. Good to have hands-on experience of Generative AI Models & it's applications. Experience in delivering and maintaining productionized end-to-end Machine Learning solutions. Ensure integration of AI solutions into cloud platforms such as AWS. Stay updated with the latest AI, LLMs, MLOps, and machine learning trends, techniques & best practices. Ensure the robustness, scalability & reliability of AI solutions. Prepare detailed documentation for architecture, design, and implementation of AI solutions, ensuring knowledge transfer and future maintenance. Work closely with cross-functional teams to integrate AI solutions into products and services. Proven experience in AI, ML, MLOps, Text Analytics & Generative AI. Strong proficiency in programming languages such as Python & Java. Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN & Transformers. Experience in Natural language processing (NLP) tools: NLTK, Spacy & Gensim. Experience in MLOps tools such as Kubeflow & MLflow. Experience with Responsible AI practices. Experience in GenAI & Lang Chain. Ability to create custom models & other LLMs. Good understanding of Vector Database. Knowledge of workflow tools like Airflow. Experience with Microservices architecture. Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc. Experienced with API Python frameworks such as Fast API/Flask/Django.