Machine Learning Engineer

🕒 Yesterday

🌐 Argentina, Uruguay, +2 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇲🇽 Mexico – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• 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 • Help customers build scalable architecture, robust data engineering pipelines, data consumption layers, and ML and AI applications

🎯 Requirements

• 4+ years of experience in data science or machine learning roles • Proficiency in Python, including pandas, scikit-learn, PyTorch or TensorFlow • Proficiency in 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, such as MLflow, SageMaker Pipelines, and Airflow • Excellent communication and leadership skills • Experience with big data tools such as Spark and EMR preferred • Familiarity with containerization, including Docker, ECS, and EKS, and serverless architecture preferred • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field is preferred • English level selection required on the application form

🏖️ Benefits

• Opportunities for professional development and career advancement • Work with cutting-edge technologies and industry leaders in data engineering and AI • Collaborative culture with knowledge sharing • Equal opportunity employer committed to unbiased hiring practices