Senior Machine Learning Operations AI Engineer @MMCTech

Company:

MMC Corporate

Description:

We are seeking a talented individual to join our Cluj hub team at Marsh McLennan as a Senior Machine Learning Operations Engineer.

Marsh McLennan (MMC) has established its EMEA Technology Hub in Cluj, Romania, reflecting our commitment to innovation and excellence. This hub is central to our digital strategy, addressing emerging challenges and enhancing service delivery through advanced technology solutions that empower our clients and promote sustainable growth.

As Senior Machine Learning Operations AI Engineer you will focus on building MLOps on cloud platforms, specifically AWS and Databricks, and will involve transforming offline models into production systems.

We will count on you to:

• Build MLOps on cloud platforms – AWS, Databricks;

• Build CI/CD pipelines orchestration using GitHub Actions, Airflow, or similar tools;

• Take offline models built by data scientists and turn them into a real machine learning production system;

• Set up the deployment process for the ML and Gen AI models on AWS Databricks;

• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference;

• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems;

• Understand the ML lifecycle and possess the skills to develop pipelines, automate processes, and integrate models into production environments;

• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

• Communicate with clients to build requirements and track progress;

• Understand the ML requirements and be able to build the ML models as needed;

What you need to have:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field;

• 5+ years of experience in data science and MLOps roles;

• Exposure to Big Data / Data Lake frameworks like Spark, Spark Streaming, Python, R, NiFi, AWS S3, Redshift, Glue, Athena, etc., and tools like Databricks, IDMC (Informatica Cloud), Snowflake;

• Excellent verbal and written communication skills in Romanian and English, ensuring effective and professional communication with stakeholders;

What makes you stand out:

• Strong AWS and Databricks experience with ML features;

• Experience with developing GenAI models;

• An inquisitive mindset with a track record of seeking out and implementing new technologies and architectural patterns;

Why join our team:

• We help you be your best through professional development opportunities, interesting work, and supportive leaders;

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities;

• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being;

• A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);

• 30+ days off (25 legal days off, 1 extra day off on your birthday, public holiday replacement days, extra buy/sell from your benefits budget);

• Performance Bonus scheme;

• Matching charity contributions, charity days off, and the Pay it Forward charity challenge;

• Core benefits - Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance;

• We champion flexible working, and our mission is to help you find YOUR work-life balance, whether that is standard working, flextime working, or working from home;

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.