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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning / Data Science Engineer - **Company:** CapTech Ventures, Inc. - **Location:** Snowflake, AZ, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Database, Data Files, Data Warehousing, DevOps, Python (Programming Language), Machine Learning, SQL Azure, Natural Language Processing, NoSQL, Recommender Systems, SQL Databases, Google Cloud, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Amazon Relational Database Service, Containerization, Data Analytics, Nintex, Data Management, Machine Learning Operations, GPT, Software Version Control, Docker, Databricks, Microservices - **Published:** August 19, 2026 - **Apply:** https://www.careerjet.com/job/us5a1cf0e816550d6f617251c5721fd010/eaa ## About the Role * Bachelor's degree or equivalent combination of education and experience. * Hands-on experience manipulating and analyzing large (multi-billion record) data sets. * Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. * Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. * Proficiency with containerization (e.g., Docker) and microservices. * Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS * Comfort and proficiency in framing data-driven problems from cross-industry business requirements. * Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels) * Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision). * Knowledge of DevOps and automation best practices. * Knowledge of statistics and statistical modeling methods. * Knowledge of model management and model versioning best practices. * Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting * Experience with prompt engineering, MCP and RAG, and agentic AI architectures * Strong understanding of conversational UX and prompt evaluation metrics * Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.) * Experience with multi-agent orchestration ## Description CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients. Specific responsibilities for the Machine Learning Engineer position include: * Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs * Deconstructing client needs into data-driven processes/models and analytical measures. * Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). * Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring). * Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. * Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers., CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click . As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. 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