Lead Data Scientist, Machine Learning Engineer

Summary

Join Aimpoint Digital, a leading analytics consulting firm, as a Lead Data Scientist and help clients maximize their data's potential. You will design and develop end-to-end analytical solutions using machine learning, AI, and statistical modeling, working independently on client engagements. Collaborate with stakeholders, build ML & AI infrastructure, deploy models, and train clients on solution management. Contribute to practice development, business development, and company innovation. This is a full-time, remote position based in Colombia.

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

Responsibilities

• 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

Preferred Qualifications

• 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, 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
• Familiarity with Agile methodologies, preferably Scrum

Benefits

Full-time, remote work within Colombia