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Senior Associate - MLops

5 - 8 years

4 - 8 Lacs

Bengaluru

Posted:11 hours ago| Platform: Naukri logo

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Skills Required

continuous integration cd github python microsoft azure ci/cd solution delivery problem solving research process improvements it operations operations data science spark azure kubernetes software engineering terraform communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Lead MLOps Engineer will be responsible for leading technology initiatives aimed at improving business value and outcomes in the areas of digital marketing and commercial analytics through the adoption of Artificial Intelligence (AI) enabled solutions. Working with cross-functional teams across AI projects to operationalize data science models to deployed scalable solutions delivering business value. They should be inquisitive and bring an innovate mindset to work every day, researching, proposing, and implementing MLOps process improvements, solution ideas and ways of working to be more agile, lean and productive. Provide leadership and technical expertise in operationalizing machine learning models, bridging the gap between data science and IT operations. Key responsibilities include designing, implementing, and optimizing MLOps infrastructure, building CI/CD pipelines for ML models, and ensuring the security and scalability of ML systems. Key Responsibilities Architect Deploy: Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles. Automate Accelerate: Build and optimize CI/CD pipelines with GitHub Actions for seamless software, data, and model delivery. Engineer Performance: Develop efficient and reliable data pipelines using Python and distributed computing frameworks. Ensure Reliability: Implement solutions for deploying and maintaining ML models in production. Collaborate Innovate: Partner with data scientists and engineers to continuously enhance existing MLOps capabilities. Key Competencies Experience: A minimum of 5+ years of experience in software engineering, data science, or a related field with experience in MLOps is typically required. Education: A bachelor's or master's degree in Computer Science / Engineering. Soft Skills: Strong analytical and problem-solving skills, excellent communication and collaboration skills, and the ability to work in a fast-paced environment are highly valued. Azure AKS: Deep hands-on experience. IaC CI/CD: Mastery of Terraform/Bicep GitHub Actions. Data Engineering: Advanced Python Spark for complex pipelines. ML Operations: Proven ability in model serving monitoring. Problem Solver: Adept at navigating complex technical challenges and delivering solutions.

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Acuity Knowledge Partners
Acuity Knowledge Partners
www.acuitykp.com

Financial Services

London United Kingdom

5001-10000 Employees

451 Jobs

    Key People

  • Nikhil Sinha

    CEO

  • Somnath Chakrabarti

    CFO

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