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Chief Machine Learning Engineer
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

We are seeking a **Chief Machine Learning Engineer** to spearhead the vision, strategy, and implementation of ML\-driven systems that intelligently recommend user\-generated content and maximize engagement at scale. You will own the development, deployment, and refinement of state\-of\-the\-art machine learning solutions, fostering team excellence in dynamic data environments. *We accept* *CVs in English only.* **Responsibilities** * Define the strategic approach for scalable, high\-performing machine learning pipelines across online and offline feature workflows * Architect advanced machine learning models with Python, TensorFlow, and cutting\-edge frameworks * Lead optimization and deployment of enterprise\-grade inference pipelines focused on real\-time applications like player telemetry analytics * Enforce standardized machine learning workflows by incorporating tools such as MLflow within cross\-functional teams * Oversee robust data integration pipelines built on ETL/ELT frameworks in enterprise\-level environments using Databricks * Establish the vision for reliable and scalable production\-grade ML systems with continuous optimization in focus * Develop automated and dependable solutions for complex feature engineering processes and seamless model deployment systems * Collaborate with senior stakeholders to align organizational KPIs with machine learning strategies at scale * Drive innovation around dataset management and computational workflows utilizing Databricks infrastructure * Promote best practices and innovation for scalable, high\-efficiency ML solutions across the enterprise **Requirements** * 7\+ years of relevant expertise in scalable machine learning systems within intricate environments * 2\+ years in recognized leadership roles managing ML teams or major initiatives * Proficiency in Databricks, MLflow, TensorFlow, and advanced data engineering platforms * Advanced skills in Python, prioritizing ML, data optimization, and engineering processes * Background in ETL/ELT methodologies and integrating large\-scale data pipelines * Showcase of optimizing real\-time data systems requiring low\-latency and exceptional reliability * Competency in scaling advanced feature engineering workflows for enterprise\-level applications * Qualifications in managing ML model lifecycles within demanding production setups * Understanding of building solutions that balance scalability, efficiency, and maintainability across critical systems * Proficiency in English communication, both written and verbal, at a C1 level or higher **Nice to have** * Knowledge of recommender systems tailored for content discovery and improving user engagement * Understanding of machine learning infrastructure deployment on AWS, GCP, or similar cloud platforms * Showcase of expertise in real\-time analytics and creating telemetry\-driven systems across large\-scale operations **We offer** * 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! *Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.* 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.

Source:  indeed View original post
Valentina Rodríguez
Indeed · HR

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