Senior Machine Learning Engineer

**Responsibilities**
- Architect and engineer machine learning models to address complex challenges
- Work alongside multidisciplinary teams to grasp business needs and explore machine learning opportunities
- Deploy robust machine learning infrastructures in live environments
- Perform thorough data evaluations and tests to validate model precision and dependability
- Enhance the performance and efficiency of current machine learning models
- Mentor junior engineers and lead machine learning initiatives
- Keep abreast of emerging machine learning trends and technologies
- Assess and assimilate new data sources to augment model capabilities
- Record detailed documentation of machine learning procedures and model structures
- Communicate technical insights and model results to stakeholders and team members

**Requirements**:

- At least 3 years of professional experience in Machine Learning Engineering, with a focus on AWS technologies
- Demonstrated proficiency with Amazon Bedrock for the development and deployment of machine learning solutions
- Comprehensive experience in utilizing Amazon SageMaker to develop and manage machine learning models
- Profound understanding of Amazon S3 for effective data storage and handling in machine learning projects
- Advanced proficiency in Python for machine learning model development
- Extensive experience with Deep Learning techniques and their implementation
- Skilled in Prompt Engineering to improve machine learning model interaction
- Adept in implementing Sentiment Analysis in practical scenarios
- Ability to perform effective Model Evaluation for NLP to verify model performance
- Fluent in English at a B2 level or higher, necessary for efficient team collaboration and communication with stakeholders

**Nice to have**
- Experience with other cloud platforms such as Google Cloud or Microsoft Azure
- Knowledge of additional programming languages like R or Java
- Relevant certifications in machine learning, data science, or associated fields

**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)
- Monthly non-taxable amount for the electricity and internet bills

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.