Senior Machine Learning Engineer Remote

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
• Specialized knowledge in Natural Language Processing (NLP) and its applications
• 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