🚀 Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. We are passionate about the work we do and the results we achieve for our clients, working with Fortune 100 companies, mid-sized enterprises, and government agencies.

Overview

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a focus on building and deploying scalable machine learning systems in enterprise environments. The role offers a collaborative environment with opportunities to learn from and share knowledge with CapTech analysts, architects, and clients.

Responsibilities

• Strategize with clients, data scientists, engineers, and cross-functional teams to implement end-to-end machine learning solutions and identify new approaches to meet business needs
• Deconstruct client needs into data-driven processes/models and analytical measures
• Analyze and transform large datasets on enterprise platforms (e.g., AWS, Azure, GCP)
• Design, develop, and deploy advanced analytical solutions leveraging client data (e.g., recommender systems, NLP, risk scoring)
• Productionize ML systems with a focus on optimization and scalability to satisfy client requirements
• Grow CapTech’s Machine Learning and Data Science practices by delivering client presentations, writing proposals, attending business development events, and leading teams of junior data scientists and engineers

Qualifications

• Bachelor's degree or equivalent combination of education and experience
• Hands-on experience manipulating and analyzing large datasets (multi-billion records)
• Hands-on experience developing data-driven solutions using Python, Scala, or similar languages
• Proficiency with SQL, Spark, NoSQL, and/or cloud data processing frameworks in production
• Proficiency with containerization (e.g., Docker) and microservices
• Experience with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
• Ability to frame data-driven problems from cross-industry requirements
• Experience applying analytical methods across multiple domains (e.g., customer analytics, marketing, finance, digital)
• Hands-on experience implementing production-scale ML systems in one or more domains (e.g., personalization, NLP, computer vision)
• Knowledge of DevOps and automation best practices
• Knowledge of statistics and statistical modeling methods
• Knowledge of model management and versioning best practices

Additional Information

CapTech offers customizable career progression and a comprehensive benefits package, including traditional benefits and extended programs to support employees. Benefits include:

• Learning & Development – certification and tuition support, digital on-demand courses, mentorship
• Modern Health – mental health and well-being platform
• Carrot Fertility – inclusive fertility and family-forming coverage
• Fringe – stipend program for lifestyle benefits
• Employee Resource Groups – diversity and inclusion initiatives
• Philanthropic Partnerships – pro-bono and community partnerships
• 401(k) Matching – generous matching

CapTech is an equal opportunity employer committed to equality, inclusion, and fairness. Reasonable accommodations are provided for applicants with disabilities. CapTech cannot sponsor work visas for this position; applicants must be authorized to work in the United States without visa sponsorship.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Business Consulting and Services

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