SunnyData Logo

SunnyData

Senior ML Engineer

Reposted 10 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Uruguay
Senior level
Remote or Hybrid
Hiring Remotely in Uruguay
Senior level
Lead design, development, and deployment of production ML models; work with large datasets to build predictive pipelines; collaborate with data engineers on cloud architectures; implement MLOps and CI/CD for model operationalization; mentor junior staff and communicate insights to stakeholders.
The summary above was generated by AI

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

Airflow
Docker
Ecs
Eks
Emr
Mlflow
Pandas
Python
PyTorch
Sagemaker Pipelines
Scikit-Learn
Serverless
Spark
SQL
TensorFlow

Similar Jobs

15 Days Ago
Remote or Hybrid
Senior level
Senior level
Fintech • Payments • Financial Services
As a Senior MLOps & AI Infrastructure Engineer, you'll build and maintain ML infrastructures, focusing on Feature Store, automation, and data pipelines, ensuring compliance and collaboration with data science teams.
Top Skills: DatabricksDatabricksFeature StoreFlinkKafkaKinesisMlopsSagemakerSparkVertex Ai
2 Hours Ago
Easy Apply
Remote
United States
Easy Apply
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
The Senior Account Executive will drive revenue growth through consultative sales, close new business deals, and manage customer relationships, ensuring alignment with customer needs and company values.
Top Skills: SaaS
4 Hours Ago
Easy Apply
Remote
United States
Easy Apply
100K-120K Annually
Senior level
100K-120K Annually
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
The Senior Growth Designer will lead the design of Circle's marketing website, creating visually compelling pages that drive conversions and enhance the brand experience. This includes collaborating with marketing teams and utilizing design best practices.
Top Skills: Component-Based DesignDigital DesignFigmaResponsive Layouts

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account