Machine Learning Ops Lead Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Responsibilities

To be successful in this role, you should be an experienced engineer in writing and optimizing microservices with a focus on scalability and reliability. Primary responsibilities will include:

• Write/refactor code to be efficient, reliable, and scalable
• Work with machine learning teams to define requirements training and inference pipelines
• Support data scientists who are focused on R&D to consider production runtime requirements
• Coordinate with internal teams to understand user requirements and provide technical solutions
• Provide Technical guidance
• Directly work with project stakeholders

  Mentorship and Coaching others

Qualifications:

• 5+ years with Python
• Expertise in at least one popular Python data science framework (scikit, tensorflow, pandas)
• Experience designing, constructing, and hosting API’s
• Experience with microservices architectures (and ideally some experience with Kubernetes)
• Any experience with big data formats such as arrow, parquet, or similar
• Any experience with Rust (or similar) high performance computing language
• Excellent resourcefulness and problem-solving skills
• BSc or higher in Computer Science, Engineering or other relevant field

What’s in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

• COVID-19 Response: Currently, as part of our COVID-19 a majority of our employees are working remotely and following local COVID-19 bylaws and guidelines, with the majority of our offices planning to embrace a hybrid work environment consisting of in-office and remote work in 2022.
• Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
• Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: work form anywhere (in country); caregiver paid time off, bereavement leave; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
• Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking
• Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
• Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.