Job description 

The Role

As a Machine Learning Engineer - MLOps, you will develop AI-powered software applications, especially internal business applications. You will work closely with product managers, business stakeholders, data scientists and other software engineers to design, develop, and implement cutting-edge machine learning models that are properly trained, validated, and optimized for performance.  Below is a description of responsibilities, but this role will require the flexibility to adapt to other duties and responsibilities as needed 

Responsibilities 

Lead the production efforts of AI/ML solutions:architect systems that enable and ensure successful deployments, monitoring, and maintenance of ML models in production 

Work closely with the project team (project lead, data scientists, other engineers) and with business stakeholders to understand requirements and design an AI/ML solution accordingly 

Hands-on development of MLOps infrastructure, e.g. coding or configuring pipelines for data processing, model training, evaluation, andinference; version control; feature stores; and model stores.

Monitor and maintain ML models in production, troubleshooting issues where needed

Provides subject matter expertise to the rest of the team, e.g. proactively looking for opportunities to streamline the solution development process and teaching team members to use new processes or tooling 

Provides guidance and mentoring to less-experienced team members in the same function 

Skills and Profile 

Prior MLOps experience: deploying, monitoring, and maintaining AI/ML applications in production 

Prior experience creating and maintainingmachine learning modeling infrastructure to enable data scientists 

Prior experience training and evaluating machine learning models 

Proficient in Python for developing production applications 

Prior experience working in a distributed team with diverse backgrounds is a plus.  Ability to engage in discussions in a respectful manner is a must. 

In this team we value a start-up mindset and initiative-taking to deliver to our internal customers. The ideal candidate will have experience from a fast-moving SaaS start-up in addition to experience from a large complex organization. 

Technologies you may use include: AzureMLservices, Databricks, SQL, Docker, CI/CD 

Mastery in English is required. 

Education and Length of Experience 

Bachelor's degree in Computer Science or similar, or demonstrated competence, plus typically a minimum of 7-10 years of relevant experience or equivalent. Graduate level (e.g. Master's) degree preferred.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in India.

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