305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
MLOps Engineer Remote
MLOps Engineer Description
DESCRIPTION
Join our dynamic team at EPAM!
We're seeking a talented MLOps Engineer to help drive our innovative projects forward.
In this role, you'll develop efficient client code suitable for a high-volume production environment accessible through HTTP API, leveraging Large Language Models (LLMs) API.
zIf you're ready to make a significant impact, we'd love to hear from you.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Responsibilities
- Orchestrating LLM-driven experiences that delight our customers
- Writing Python API server code that handles requests from a front-end client (or many front-end clients)
- Developing novel LLM client code suitable for a high-volume production environment
- Utilizing the latest and greatest LLM models and services
- Empowering prompt engineers and other SMEs by developing intuitive prompting frameworks
- Writing SQL queries and occasionally designing schema
Requirements
- At least 3+ years of production level experience in software engineering on an engineering/product team (preferably at a startup)
- Strong Python, HTTP API, and SQL skills are required
- Experience using large language models through code (such as model services from OpenAI, Anthropic, or Cohere; and/or open-source models such as Llama and Mistral)
- Experience with any stages in the ML development lifecycle (e.g. data labeling, data curation, data cleaning, model training, model evaluation, model serving, LLM prompting, etc.)
Technologies
- Large Language Models
- Machine Learning
- OpenAI API
- Python
- REST API
- SQL
We Offer
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more
- Monthly non-taxable amount for the electricity and internet bills
Conditions
- By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy
