Senior Artificial Intelligence/Machine Learning Engineer

4 days ago


thane, India beBeeArtificialIntelligence Full time

AI/ML EngineerWe are seeking a skilled AI/ML engineer to join our team.About the RoleThis is an exciting opportunity for an experienced AI/ML professional to develop, deploy, and maintain cutting-edge models using Python and Django. As an AI/ML engineer, you will play a crucial role in building scalable data pipelines and APIs that integrate ML models into production.You will work across various domains such as NLP, Computer Vision, and Generative AI to create real-world solutions. Your responsibilities will include data preprocessing, model training, and performance tuning, as well as collaborating with cross-functional teams for AI product development and insights.In this role, you will automate workflows and ensure robust, reproducible, and efficient ML systems. You will also implement MLOps practices using Docker, MLflow, Kubernetes, and Azure.Key ResponsibilitiesData Engineering:Develop and maintain data pipelines and APIs integrating ML models into production.Collaborate with cross-functional teams for AI product development and insights.Model Development:Develop, deploy, and maintain AI/ML models using Python and Django.Perform data preprocessing, model training, and performance tuning.Automation and Efficiency:Automate workflows and ensure robust, reproducible, and efficient ML systems.Implement MLOps practices using Docker, MLflow, Kubernetes, and Azure.RequirementsTo succeed in this role, you will need:A degree in Data Science, Computer Science, or related field (Master's preferred).Strong programming skills in Python with hands-on experience with Django and Flask.Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision using TensorFlow, PyTorch, and scikit-learn.Familiarity with Generative AI, LangChain, RAG, and LLMs is preferred.Knowledge of SQL/NoSQL databases, API development, and data visualization using Power BI and Tableau.Experience with MLOps/DevOps tools – Docker, Kubernetes, MLflow, Git, and Azure.What We OfferWe offer a dynamic and supportive work environment, opportunities for growth and development, and a competitive compensation package.



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