CapTech
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
Referrals increase your chances of interviewing at CapTech. Get notified about new Data Engineer jobs in Richmond, VA.
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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
Referrals increase your chances of interviewing at CapTech. Get notified about new Data Engineer jobs in Richmond, VA.
#J-18808-Ljbffr