Diageo India Pvt Ltd

Manager - Machine Learning Engineering (BB-4DB29)

Found in: Talent IN

As part of the ML Engineering team, this role has accountability for training data required for machine learning algorithms and taking theoretical data science models and scaling them to a production-level, including the integration into business process and applications. They collaborate with the Data Scientist and Data Engineers, working within agile squads to ensure a working and scalable analytics products. Top 3-5 Accountabilities Youll apply machine learning techniques to a variety of modelling and relevance problems involving the data sciences and stakeholders. You will be part of the analytics engineering lifecycle, including designing distributed systems, writing production-level code for data sciences models, conduct code reviews while working alongside our data engineering and infrastructure teams. Collaborate with data engineers to develop data and model pipelines Be the coordinator of the entire lifecycle (research, design, experimentation, development. deployment, monitoring, and maintenance) You will work on cutting-edge problems with a view of action-orientated output not research. Implement machine learning algorithms and libraries Communicate complex processes to business leaders Qualifications and Experience Required Required Bachelors degree (B.S.) in computer science, mathematics, statistics, economics, engineering or related field 10-12 years in Data Science or Software Engineering experience. Experience working with Python, Java, R and Scala Experience with vision processing, deep neural networks, Gaussian processes, and reinforcement learning A solid understanding of both probability and statistics A firm understanding of mathematics (including the role of algorithm theory in machine learning and complex algorithms that are needed to help machines learn and communicate) Experience using programming tools like MATLAB Experience working with large amounts of data in a high throughput environment Experience working with distributed systems tools like Etcd, zookeeper, and consul Experience working with messaging tools like Kafka, RabbitMQ, and ZeroMQ Extensive knowledge of machine learning evaluation metrics and best practices Competency with infrastructure as code (for example, Terraform or Cloud formation) Clear communicator who can easily translate complex information Collaborative individual who thrives in a team environment, specifically within a matrix organization Creative problem solver and innovator Analytical, critical thinker Preferred Masters degree (M.A., M.S. or MBA) in information technology, computer science, economics, statistics, engineering or related field 1 years in ML Engineering experience in CPG, Retail or TMT (Telecomms Media & Technology) Lean Six Sigma training desired Background in NLP and deep learning, and their corresponding tools and techniques Expert understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and XP Programming, and how theyre applied in workplace culture

calendar_today5 days ago


location_on Nelamangala, India

work Diageo India Pvt Ltd

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