Machine Learning Engineer III

Role Overview: You will be a part of the Pricing Machine Learning Engineering team based in Gurgaon, working closely with Machine Learning Scientists in a fast-paced Agile environment. Your role involves designing and coding large scale batch and real-time pipelines on the Cloud, prototyping creative solutions, and collaborating with cross-functional global teams to integrate generative AI solutions into existing workflow systems. Key Responsibilities: - Work in a cross-functional geographically distributed team to design and code large scale batch and real-time pipelines on the Cloud - Prototype creative solutions quickly and collaborate with seniors and peers in implementing the technical vision of the team - Act as a point of contact for junior team members, offering advice and direction - Participate in all phases of the end-to-end ML model lifecycle for enterprise applications projects - Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications - Integrate generative AI solutions into existing workflow systems and participate in code reviews - Define, develop, and maintain artifacts like technical design or partner documentation - Maintain, monitor, support, and improve solutions and systems with a focus on service excellence Qualifications Required: - Degree in software engineering, computer science, informatics, or a similar field - Experience: 5+ years if Bachelors, 3+ years if Masters - Solid Coding and Problem Solving skills in Java/Python/Scala & Data Structures - Hands-on experience with OOAD, design patterns, SQL, and NoSQL - Experience in big data technologies such as Spark, Hive, Hue, and Databricks - Experience in developing and deploying Batch and Real-Time Inferencing applications - Good understanding of machine learning pipelines and ML Lifecycle - Familiarity with traditional ML and Gen-AI algorithms and tools - Experience with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow) - Passionate about learning, especially in micro-services, system architecture, Data Science, and Machine Learning - Experience working with Agile/Scrum methodologies Kindly note that the company's additional details were not provided in the Job Description.,