ML Ops Engineer Job Vacancy in HP Chennai, Tamil Nadu – Updated today

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Full Details :
Company Name : HP
Location : Chennai, Tamil Nadu
Position :

Job Description : Customer Support ML Ops Data Engineer
HP is a proven leader in personal systems and printing, delivering innovations that empower people to create, interact, and inspire like never before. We leverage our strong financial position to extend our leadership in traditional markets and invest in exciting new technologies. We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create!
The Business Intelligence and Analytics team is responsible for developing and maintaining data systems that provide information to Customer Support/Services and Corporate Quality. The group is responsible for working with IT to build and maintaining data sets and the corresponding infrastructure to support reporting teams across Customer Support (primarily) and other HP functions (when appropriate).
We are currently moving into common infrastructure with ADLS / Azure data warehouse / Analytics zone all being fed by an Enterprise Data Lake (Hadoop / Hive) structure. The majority of work currently is to improve the robustness of current assets, drive reuse of common metrics and data sets and to empower business reporting. The future will focus more on analytics, real time data, and near real time data.
Key Job specifics/responsibilities:
Build practices in MLOps that combine Machine Learning, DevOps, and Data Engineering, which aim to deploy and maintain ML systems in production reliably and efficiently.
Model & Data Versioning Automated Version Control & tracking of model versions, along with the data used to train it, and some meta-information like training hyperparameters.
Model Output & Data Validation Automating process of Model output & Data validation with proper metrics relevant to each model used in ML Algorithms
Monitoring Build & Production Systems using automated monitoring & alarm tools.
Work on onboarding ML and Deep Learning models using ML Engineering Tech stack.
Create SOPs for model onboarding, model deployment and support.
Provide Model Production Support including trouble shooting, bug fixes and do RCA.
Build Model Health monitoring dashboards to track model KPIs, model drift and feedback loop.
Uses bug tracking, code review, version control and other tools to organize and deliver work.
Collaborate with other teams with different backgrounds / expertise / functions for code review, model migration, deployment, monitoring and alerts
Ideal Candidate profile:
4 to 6 years’ experience in Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
Hands-on experience with autoML tools, experiment tracking, model management, version tracking model training (MLflow), model hyperparameter optimization, model evaluation, and visualization (Power BI)
Good expertise with Azure stack: Azure Databricks, Azure ML services, ML ops, ADF, Spark
Experience working with recommendation engines, forecasting algorithms, data pipelines, or distributed machine learning
Sound knowledge and experience with atleast one DL frameworks such as PyTorch, TensorFlow, Keras
Experience with container technologies (Docker, Kubernetes etc).
Knowledge of data analytics concepts, including bigdata, data warehouse technical architectures, ETL and reporting/analytic tools and environments
Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world problems
Working knowledge on different Algorithms and Machine Learning techniques (supervised, unsupervised, reinforcement, ANN)
Working knowledge of SQL based databases.
Demonstrated excellent communication, presentation, and problem-solving skills
Detail oriented design, code debugging and problem-solving skills
Ability to communicate complex technical/architectural problems and propose solutions for the same.
Qualifications
Bachelor’s degree in Computer Science, Engineering, Business or related field or equivalent work experience.
May hold Master’s or advanced degree in related field. Typically 6+ years of relevant experience.
About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP’s commitment to diversity, equity and inclusion – it’s just who we are.

From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!

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