Artificial Intelligence Engineer

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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.