Senior Machine Learning Engineer

hace 3 semanas

Desde casa, México EPAM Systems A tiempo completo

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 stakeholdersNICE 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 fieldsWE 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

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