Senior Machine Learning Engineer

We are on the lookout for a seasoned Senior Machine Learning Engineer to strengthen our team. This position is perfect for a professional eager to apply their AI and machine learning expertise to spearhead transformative projects and solutions. The selected candidate will play a key role in enhancing and refining our sophisticated machine learning models and systems, aligning them with the diverse needs of our applications.
We accept CVs in English only.

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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

• 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

• 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

• Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!