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Lead Machine Learning and Data Science Engineer

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Minimum of 7 years of experience in delivering data engineering and machine learning solutions on cloud platforms. Bachelor's degree or a combination of education and relevant experience. Proven experience in providing technical mentorship and leadership within the data engineering domain. Hands-on expertise in manipulating and analyzing large datasets (multi-billion records). Proficient in developing data-driven solutions using programming languages such as Python, Scala, or similar. Strong command of SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production context. Experience with containerization technologies (e.g., Docker) and microservices architecture. Familiarity with data warehousing tools and environments like Snowflake, Databricks, Azure SQL, Amazon RDS. Adept at framing data-driven challenges from cross-industry business needs. Experience applying analytical methodologies across various business sectors.

About the job

As a Lead Machine Learning Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-centric solutions for our diverse clientele. Your focus will be on developing and deploying robust machine learning systems tailored for enterprise settings. At CapTech, we foster a collaborative atmosphere that encourages continuous learning and knowledge sharing among our team members, including analysts, architects, and clients.

Key Responsibilities:

  • Collaborate with clients, data scientists, engineers, and cross-functional teams to strategize and implement comprehensive machine learning solutions, while exploring novel approaches to address business challenges.
  • Provide technical leadership, ensuring alignment of technical solutions with client requirements across teams.
  • Translate client needs into actionable data-driven processes, models, and analytical metrics.
  • Conduct analysis and transformation of extensive datasets across various enterprise-level platforms such as AWS, Azure, and GCP.
  • Design, develop, and deploy advanced analytical models utilizing client data, including recommender systems, natural language processing, and risk scoring methodologies.
  • Enhance the production of machine learning systems with a strong emphasis on optimization and scalability to meet client specifications.
  • Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering client presentations, drafting proposals, attending business development events, and mentoring junior data scientists and engineers.

About CapTech Consulting

CapTech is a distinguished consulting firm dedicated to partnering with clients to unlock the potential of technology. Our passion for achieving exceptional results drives us to build enduring relationships with clients, ranging from Fortune 100 companies to mid-sized enterprises and government agencies nationwide.

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