Senior ML Engineer

Posted 18 Days Ago
Be an Early Applicant
Hiring Remotely in Argentina
Remote
Senior level
Information Technology • Software • Analytics
The Role
Lead design, development, and deployment of production ML models; work with large datasets; build predictive pipelines; collaborate on cloud data architectures; implement MLOps/CI-CD; mentor junior staff and communicate results to stakeholders.
Summary Generated by Built In

At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers and more importantly build ML and AI applications to power their business and drive outstanding business outcomes. As a Senior Machine Learning Engineer you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions. You will work cross-functionally with engineering, product, and analytics teams to derive actionable insights and influence key business decisions.

The Impact You Will Have

  • Lead the design, development, and deployment of machine learning models.

  • Work with large, complex datasets to extract valuable insights and build predictive analytics pipelines.

  • Collaborate with data engineers to architect and optimize cloud-based data solutions.

  • Translate business challenges into data-driven solutions using statistical modeling and machine learning techniques.

  • Automate data workflows and model deployment processes using cloud services and CI/CD tools.

  • Mentor junior data scientists and contribute to best practices in model development and operationalization.

  • Communicate findings and strategic recommendations to stakeholders and executive leadership.

What We Look For

  • 5+ years of experience in data science or machine learning roles.

  • Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.

  • Strong background in statistics, A/B testing, and machine learning algorithms.

  • Experience building and deploying models in production environments.

  • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).

  • Excellent communication and leadership skills.

Preferred Qualifications
  • Experience with big data tools (Spark, EMR).

  • Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.

Education

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

Our Commitment to Diversity and Inclusion

At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Why Join SunnyData?

  • Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.

  • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.

  • Career Growth: Opportunities for professional development and career advancement.

  • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Top Skills

Python,Pandas,Scikit-Learn,Pytorch,Tensorflow,Sql,Mlflow,Sagemaker Pipelines,Airflow,Spark,Emr,Docker,Ecs,Eks
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The Company
HQ: Minneapolis, Minnesota
103 Employees

What We Do

SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform.

We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI.

Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges.

What We Specialize In:
+ Data Engineering
+ Data Migrations to Databricks
+ GenAI & Data Science
+ Data & AI Governance with Unity Catalog

* Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors.

We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.

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