Aimpoint Digital

Lead Data Scientist, Machine Learning Engineer 2025

Aimpoint Digital

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Job Level

Senior

Tech Stack

AWSAzureGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflowTerraform

About the role

  • Become a trusted advisor working with clients to design end-to-end analytical solutions
  • Work independently to solve complex data science use-cases across various industries
  • Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
  • Write code in SQL, Python, and Spark following software engineering best practices
  • Collaborate with stakeholders and customers to ensure successful project delivery
  • Lead and contribute to our practice development and business development

Requirements

  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with building high quality Data Science models to solve a client's business problems
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • Ability to manage an individual workstream independently
  • 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
  • Ability to apply data science methodologies and principles to real life projects
  • Expertise in software engineering concepts and best practices
  • Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people
  • Willingness to travel.
  • Want to stand out? Consulting Experience
  • Databricks Machine Learning Associate or Machine Learning Professional Certification.
  • Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing.
  • Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions).
  • Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles).
  • Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
  • Experience with generative AI and LLMs, such as LLamaIndex and LangChain
  • Understanding of MLOps or LLMOps.
  • Familiarity with Agile methodologies, preferably Scrum