Machine Learning AI Engineer; ML Velocity & Productionization

Position: Machine Learning AI Engineer (ML Velocity & Productionization)
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Job Description # Machine Learning AI Engineer (ML Velocity & Productionization)
* We are seeking an
** AI Engineer
** with deep expertise in Claude and strong end‑to‑end machine learning experience to help accelerate ML development velocity across our clients organization. This role is highly technical and hands‑on you will design, prototype, and product ionize AI‑powered solutions that streamline data workflows, improve model deployment efficiency, and enhance ML infrastructure.
* You will work independently, collaborate with data scientists and ML engineers, and own projects from exploration through full production deployment.
* Leverage Claude to enhance ML workflows, automate development tasks, accelerate experimentation, and optimize production pipelines.
* Build and maintain Python-based ML tooling leveraging pandas, scikit‑learn, and other ML frameworks.
* Write, optimize, and maintain complex SQL queries for data transformation, feature engineering, and model scoring pipelines.
* Develop and operationalize ML workflows within Snowflake, including integration with ML models and data pipelines.
* Deploy and product ionize machine learning models using scalable best practices (versioning, monitoring, CI/CD, reproducibility).
* Independently take ML initiatives from ideation → proof of concept → MVP → full production deployment.
* Troubleshoot and improve existing ML systems to increase reliability, robustness, and throughput.
* Work cross‑functionally with engineering, data science, and platform teams to enhance ML velocity and operational efficiency.
* ** Claude:
** Expert-level understanding of Claude’s capabilities, workflows, and prompt engineering techniques; ability to integrate AI into ML development processes.
* ** Python:
** Strong experience with pandas, scikit-learn, and common ML/AI libraries; ability to build robust ML tooling.
* ** SQL:
** Advanced proficiency in writing complex, high-performance queries and optimizing analytical workloads.
* ** Snowflake:
** Hands‑on experience working with Snowflake data pipelines, transformations, and ML integration patterns.
* ** ML Deployment:
** Proven experience product ionizing models (batch, real-time, or event-driven) and maintaining them in live environments.
* ** End-to-End Ownership:
** Demonstrated ability to independently deliver projects from exploration through production deployment.
* Experience with ML observability tools (e.g., MLflow, Weights & Biases).
* Familiarity with LLM‑powered agents, retrieval pipelines, or AI workflow automation.
* Experience deploying ML solutions into cloud environments (AWS, GCP, Azure).
* Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including Clearly Rated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click
* * for more details.
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