Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to join our dynamic team in the Delhi-NCR region. The ideal candidate will have a strong background in machine learning and data science, with a focus on agricultural applications such as NABARD, PMFBY, and crop insurance. This role will involve developing and implementing machine learning models that leverage natural language processing (NLP) and predictive analytics to enhance decision-making processes in credit risk and underwriting. Key Responsibilities: - Design, develop, and deploy machine learning models to solve complex problems in agriculture and finance. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Utilize MLOps practices to streamline model deployment and monitoring, ensuring high availability and performance. - Implement containerization technologies such as Docker to facilitate scalable and reproducible model environments. - Work with cloud platforms like AWS and Azure to leverage their capabilities for data storage, processing, and model hosting. - Continuously evaluate and improve model performance through rigorous testing and validation. - Stay updated with the latest advancements in machine learning and data science, particularly in the context of agriculture and financial services. Required Skills: - Strong expertise in machine learning and data science methodologies. - Proficiency in natural language processing (NLP) and predictive modeling techniques. - Experience with MLOps, Docker, and cloud services (AWS, Azure). - Familiarity with data pipelines and data engineering principles. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. If you are passionate about leveraging technology to drive innovation in agriculture and finance, we encourage you to apply for this exciting opportunity.