Job description 

We are looking to hire a subject matter expert who possesses the expertise, knowledge and seasoning to work on projects of high sensitivity and importance. Works relatively independently and is responsible for driving consequential decisions.

Key Responsibilities:

• Design, develop, test, deploy, maintain and improve software for machine learning workflows in a production environment
• Manage intricacies of maintaining and supporting the MLOps infrastructure
• Produce maintainable, scalable, and high-quality software solutions
• Demonstrate subject matter expertise and ownership for your team’s services
• Collaborate with the data-science, big-data and dev-ops teams
• Elevate the performance of colleagues through training, mentoring, and promoting best practices
• Experiment with technologies and propose solutions to colleagues including architects, data scientists and leadership

Minimum Qualifications:

• Master’s Degree in Computer Science, Engineering or equivalent experience with 5+ years of experience OR Bachelor’s Degree in Computer Science or Engineering, or equivalent experience with 7+ years of experience
• 5+ years of experience in software engineering and software architecture background in an enterprise setting 
• High volume transactional environment experience
• Strong Relational database skills (SQL, JDBC - Oracle and PostgreSQL preferred)
• 4+ years software development experience as a Python developer
• 2+ years experience in Spark and NoSQL databases such as MapR DB, Cassandra etc.

Preferred Qualifications:

• Experience in deploying ML models in production and familiarity with MLOps
• Understanding in statistics and Machine Learning concepts such as model selection criteria, parameter tuning, A/B Testing
• Big Data Components/Frameworks such as Hadoop (MapR), Spark etc.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities