AI/ML Lead

Job Summary

Job Title: AI/ML Engineer Location: TechM Blr ECITY Years of Experience: 10+ Years Job Summary Chevron invites applications for the role of AI/ML Engineer within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. We are looking for a Machine Learning Engineer with the ability to bring their expertise, innovative attitude, and excitement for solving complex problems with modern technologies and approaches. We seek individuals with a passion for exploring, innovating, and delivering innovative Data Science solutions that provide immense value to our business. Responsibilities Design and develop AI/ML models to enhance business processes and deliver actionable insights. Implement machine learning frameworks and libraries, ensuring robust model performance and scalability. Collaborate with cross functional teams to integrate AI solutions into existing workflows. Manage the lifecycle of machine learning models, including training, validation, deployment, and monitoring. Develop and maintain custom APIs for machine learning models to facilitate training and inference. Utilize Azure services to build and deploy machine learning pipelines effectively. Engage with technical experts to identify opportunities for applying machine learning and analytics. Communicate findings and insights clearly to stakeholders at all levels. Mandatory Skills Minimum 5 years of experience in Object Oriented Programming in Python. Proven experience with Azure IaaS services, particularly in building machine learning pipelines using Azure Machine Learning and/or Fabric. Strong understanding of software engineering principles, including source control, architecture, and testing methodologies. Experience with containers and container management (Docker, Kubernetes). Proficient in orchestrating large scale ML/DL jobs and leveraging Modern Data Platform tooling. Experience in designing custom APIs for machine learning models. Knowledge of mathematics (linear algebra, probability, Statistics) and algorithms. Ability to communicate effectively in both oral and written forms. Preferred Skills Experience implementing machine learning frameworks such as MLflow. Familiarity with Data Engineering and transformation tools like Azure Databricks, Spark, and Azure ADF. History of working with large scale model optimization and Neural Networks Hyper Parameter Tuning. Experience with unstructured data using Azure Cognitive Services and/or Computer Vision. Understanding of enterprise SaaS complexities, including security, scalability, and production support. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7 10 years of relevant experience in AI/ML engineering. Strong problem solving skills and a methodical approach to software design and development.