We are seeking a skilled and innovative **Machine Learning Engineer** to join our team and contribute to the development and deployment of robust machine learning solutions.
This role demands a technical expert with a passion for leveraging ML and MLOps to produce impact-driven solutions, while collaborating with cross-functional teams to ensure seamless design, deployment, and lifecycle management of machine learning pipelines.
**Responsibilities**
- Input to ML pipeline design, development, and operating lifecycle following best practices
- Own and contribute to the design and implementation of ML prediction endpoints
- Collaborate with system engineers to set up ML lifecycle management environments
- Promote improvement of coding practices and repository organization in workflows
- Establish and configure pipelines tailored to specific projects
- Identify technical risks and gaps, devise mitigation strategies, and propose solutions
- Collaborate with data scientists to transition predictive models to production with scalable preparation pipelines
- Develop and enhance ML pipeline steps, resolving issues and ensuring continuous improvement
**Requirements**:
- 2+ years of experience with programming languages, preferably Python, and strong SQL knowledge
- Robust MLOps experience, particularly with tools like Sagemaker, Vertex, or Azure ML
- Intermediate-level expertise across Data Science, Data Engineering, and DevOps Engineering
- Practical experience delivering at least one project to production in an MLE capacity
- Expert-level understanding of engineering best practices,



including coding standards and scalability
- Proficiency in implementing data products using Apache Spark Ecosystem technologies such as Spark SQL or MLlib/SparkML
- Familiarity with Big Data technologies like Hadoop, Kafka, Cassandra, GCP BigQuery, or AWS Redshift
- Practical experience with automated data pipeline/workflow management tools, e.g., Airflow or Argo Workflow
- Experience handling various data processing paradigms like batch, micro-batch, or streaming
- Working experience with major cloud platforms such as AWS, GCP, or Azure
- Production expertise integrating ML models into complex data-driven systems
- Competency in using Tensorflow, PyTorch, XGBoost, NumPy, SciPy, Scikit-learn, Pandas, or Keras
- Knowledge of diverse database types, including relational, NoSQL, graph, document, columnar, and time series
**Nice to have**
- Background in using advanced natural language processing tools like Spacy, HuggingFace, or Transformers
**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)
- Versátil 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.

📌 Machine Learning Engineer (México)
🏢 Epam Systems
📍 México