Sr. Manager, Enterprise Systems

Skyworks

12 - 17 years

12 - 16 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

computer science c++ semiconductor version control machine learning unit testing information technology monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and Develop ML Models for high impact engineering solutions. Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision, and predictive analytics. Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute.
Lead and mentor a team of AI/ML engineers and ML operations specialists, fostering a collaborative and innovative environment.
Design, implement, and maintain scalable and reliable machine learning infrastructure and pipelines.
Establish best practices for model development, deployment, monitoring, and lifecycle management.
Collaborate with data scientists, product managers, and software engineers to deliver AI solutions aligned with business objectives.
Manage and optimize cloud and on-premises resources for efficient training, serving, and experimentation of machine learning models.
Ensure compliance with data privacy, security, and ethical standards in all AI/ML operations.
Automate processes for continuous integration and deployment (CI/CD) of machine learning models.
Drive adoption of MLOps tools and technologies, championing innovation and efficiency.
Develop documentation, training programs, and onboarding resources for new team members and stakeholders.
Establish metrics and KPIs to measure the quality and impact of AI/ML models in production environments.
Stay current with industry trends, research, and emerging technologies, integrating relevant advances into operational practices.

Required Experience and Skills

Education: Bachelor with 12+ years of professional experience in machine learning, artificial intelligence, or related fields. Preferably with a Master s degree or A PhD or relevant research experience would be a plus. in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Experience managing and guiding AI/ML engineering and operations team.
Hands-on experience with neural networks, deep learning architectures such as CNNs, RNNs, Transformers and Generative AI.
Exposure to MLOps practices: monitoring, scaling, and automating ML workflows
Experience with big data platforms: Databricks, Hadoop, Spark, Dataflow, etc or comparable products
Familiarity with advanced topics such as reinforcement learning, generative models, or explainable AI

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