Lead Data Scientist, Machine Learning Engineer, Colombia

hace 2 semanas

Medellín, Antioquia, Colombia Aimpoint Digital A tiempo completo
About the Role

Aimpoint Digital is a leading analytics consulting firm dedicated to driving business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. We are seeking a highly skilled Lead Data Scientist to join our decision sciences practice, which focuses on delivering solutions via machine learning and statistical modeling.

Key Responsibilities
  • Design and develop end-to-end analytical solutions for clients, leveraging machine learning and statistical modeling techniques.
  • Work independently to solve complex data science use-cases across various industries, collaborating with stakeholders and customers to ensure successful project delivery.
  • Develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights using Databricks.
  • Write efficient and optimized code in SQL, Python, and Spark, following software engineering best practices.
Requirements
  • Databricks experience is required, with a strong background in building high-quality Data Science models using Databricks ML to solve client business problems.
  • Experience with deploying models via model serving within Databricks, as well as managing stakeholders and collaborating with customers.
  • Strong written and verbal communication skills, with the ability to manage an individual workstream independently.
  • 3+ years of experience developing ML models in any platform (Azure, AWS, GCP, Databricks etc.), with 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.
Preferred Qualifications
  • Consulting experience, with a strong understanding of Agile methodologies and preferably Scrum.
  • 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, Git 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.
What We Offer

Aimpoint Digital offers a dynamic and fast-paced work environment, with opportunities for professional growth and development. We are committed to enabling our clients to get the most out of their data, and we are seeking a talented Lead Data Scientist to join our team. If you are a self-motivated and collaborative individual with a passion for data science, we encourage you to apply for this exciting opportunity.

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