Machine Learning Engineer

Sunnydata

Mexico

Hybrid

Who this role is best for

Strong fit for experienced machine learning professionals who lead complex data projects and collaborate across teams, with a focus on cloud-based solutions and production deployment in the data science domain.

Best fit for

Experienced ML engineers with a history of deploying models in production environments
— “Experience building and deploying models in production environments.”
Candidates skilled in translating business challenges into technical solutions
— “Translate business challenges into data-driven solutions using statistical modeling and machine learning techniques.”
Individuals with a background in statistical modeling and ML algorithms
— “Strong background in statistics, A/B testing, and machine learning algorithms.”
Proficient in Python and SQL with a focus on cloud technologies
— “Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.”
Candidates who enjoy cross-functional collaboration and mentoring others
— “Mentor junior data scientists and contribute to best practices in model development and operationalization.”

Things to consider

The role requires a minimum of 4 years of experience in data science or machine learning
— “4+ years of experience in data science or machine learning roles.”

How to stand out

Highlight leadership in deploying models and optimizing cloud data pipelines
— “Lead the design, development, and deployment of machine learning models.”
Demonstrate experience with MLOps tools like MLflow and SageMaker Pipelines
— “Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).”
Showcase ability to automate data workflows and model deployment processes
— “Automate data workflows and model deployment processes using cloud services and CI/CD tools.”
Emphasize cross-functional collaboration with product and analytics teams
— “Work cross-functionally with engineering, product, and analytics teams to derive actionable insights.”
Demonstrate communication skills by showcasing stakeholder-facing projects
— “Communicate findings and strategic recommendations to stakeholders and executive leadership.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

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

Typical background

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

Skills & requirements

Required

Python (pandas, Scikit-learn, Pytorch Or Tensorflow)SQLStatisticsMachine Learning AlgorithmsMlops Practices And Tools (e.g., Mlflow, Sagemaker Pipelines, Airflow)

Preferred

Big Data Tools (spark, EMR)Containerization (docker, ECS, EKS)Serverless Architecture

Stack & domain

PythonPandasscikit-learnPyTorchTensorFlowSQLStatisticsA/B TestingMachine Learning AlgorithmsMlopsMlflowSagemaker PipelinesAirflowBig Data ToolsSparkEMRContainerizationDockerECSEKSServerless ArchitectureLeadershipCommunicationFinanceHealthcare

About the role

Original posting from Sunnydata via Ashby

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 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
4+ 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:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
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.

Source: Sunnydata careers (Ashby)