Staff Machine Learning Engineer at Experian

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, MLFlow, Databricks, PyTorch, TensorFlow, Hugging Face, MLOps, CI-CD, AWS, Azure, GCP, Data Engineering, Feature Pipelines

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Machine Learning Engineer at Experian responsible for designing, building, and deploying Gen AI and ML solutions on cloud-native infrastructure, partnering with data science and cloud teams. You will focus on productionizing models, optimizing performance and cost, and ensuring solutions meet Experian's security, reliability, and compliance standards. Key Responsibilities (in order of importance): Design, build, and productionize scalable Gen AI and ML models and services on cloud infrastructure. Develop and maintain robust MLOps pipelines for training, evaluation, deployment, and monitoring of models. Collaborate with data, product, and cloud engineering teams to define model architectures, data contracts, and SLAs. Implement observability, performance optimization, and drift detection for models in production. Ensure ML solutions adhere to Experian's security, compliance, and responsible AI guidelines. You will report to a Senior Manager Qualifications Bachelor's degree Python MLFlow Databricks Main Skills include Python. They also include ML/Gen AI frameworks, such as PyTorch, TensorFlow, and Hugging Face. Additionally, they include MLOps/CI-CD, Cloud platforms like AWS, Azure, and GCP, and Data engineering and feature pipelines. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

The Staff Machine Learning Engineer will design, build, and productionize scalable Gen AI and ML models and services on cloud infrastructure. They will also develop and maintain robust MLOps pipelines and ensure solutions meet security and compliance standards.