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Associate Director - ML Engineering(AWS) @ A2Mantra

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 Associate Director - ML Engineering(AWS)

Job Description

About The Role Location: Hyderabad Proactively develop, maintain and evangelize technical knowledge in Machine Learning and adjacent technologies. Establish development and delivery best practices for ML implementations to minimize rework and maintenance cost. Deliver efficiency based on measurable metrics of scale, speed, model performance, stability of environment and cost reduction Your responsibilities include but not are limited to Engage with data scientists and business leads to identify the inventory of AI/ML models that have can be scaled up. Work along with platform engineers and data architects and make the right decision of architecture and design for industrialization of models Ownership of complete module that includes design, development, solutioning and testing of AI/ML module as per requirements while collaborating with respective customers Work as an effective teammate, providing training and support to peers and team members in a collaborative manner in. the specific areas of specialization. Design and develop ML pipelines for data pre-processing, model training, model evaluation and model monitoring. Strong working knowledge in ML workflows and CI/CD practices to ensure smooth model deployment and retraining Collaborate with DevOps and IT teams to deploy ML models into production environments, ensuring scalability and security Responsible for defining our standard processes, and enabling the Data Scientists we partner with by providing guidance and mentoring on the application of these practices to our work Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Role Requirements B.Tech, M.Tech from a top Tier University Minimum 9 years of relevant experience in data Science, advanced analytics and product development. Cross-industry experience highly preferred. Minimum 5 years of experience in ML ops and ML engineering roles in large scale programs. Key competencies - Advanced knowledge of multi cloud environments such as AWS, MS Azure, Databricks along with understanding and familiarity with software development principles Why consider Novartis Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams" representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Division Operations Business Unit DATA, DIGITAL & IT Work Location Hyderabad, AP Company/Legal Entity Nov Hltcr Shared Services Ind Alternative Country 1 Malaysia Alternative Country 2 Czech Republic Functional Area Data Science Job Type Full Time Employment Type Regular Shift Work No Early Talent No

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: IT Operations / EDP / MIS
Functional Area: Not Applicable
Role/Responsibilies: Associate Director - ML Engineering(AWS)

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Keyskills:   Machine Learning DevOps AWS AIML models ML workflows CICD practices IT teams Data Scientists Data preprocessing Model training Model evaluation Model monitoring Multi cloud environments MS Azure Databricks Software development principles

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