Aimpoint Digital · 1 month ago
Principal Decision Scientist, Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expAimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This role focuses on enabling clients to maximize their data through machine learning and statistical modeling, requiring independent work on client engagements and technical leadership in delivering data-driven solutions.
AdviceAnalyticsConsulting
Responsibilities
Define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives
Proactively research and apply knowledge within the data science space to deliver best-in-class solutions
Lead both small and large teams over the entire data science lifecycle – from problem definition to model automation and deployment
Provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself
Manage all aspects of client relationships and create value-driving initiatives for the company
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
Qualification
Required
Degree in Computer Science, Engineering, Mathematics, or equivalent experience
Experience designing deploying, and scaling Generative AI and machine learning systems in production, including LLM/Model serving, orchestration, and GPU resource management on Kubernetes for high-volume, business-critical applications
Experience with managing stakeholders and collaborating with customers
Strong written and verbal communication skills required
Ability to manage an individual workstream independently
5+ 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
Preferred
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
Consulting Experience
Deep expertise in Generative AI and Large Language Models, with a strong focus on optimizing GenAI applications for performance, cost, and reliability
Familiarity with Agile methodologies, preferably Scrum
Company
Aimpoint Digital
Aimpoint Digital Provides expertise needed to take analytics at your organization to the next level.
51-200 employees
H1B Sponsorship
Aimpoint Digital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (2)
2023 (3)
2022 (7)
2021 (1)
2020 (1)
Funding
Current Stage
Growth StageLeadership Team
William Miller
CEO / Founding Partner
Recent News
Company data provided by crunchbase