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.