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Be ready to walk through how you model a messy problem, choose tools, and ship software that meets constraints. Practice explaining tradeoffs in system design, debugging complex pipelines, and collaborating with stakeholders. Map past work to O*NET-style tasks: analysis, innovation, scheduling priorities, and vendor or manager alignment.
Strong fit if you enjoy senior-level AI engineering—building solutions from first principles, owning delivery with others, and applying computing methods to real technical problems at Mcpk. Thinner fit if you prefer pure research without product or systems ownership.
As a Senior AI Engineer at Mcpk, your day centers on turning ambiguous technical problems into working systems. You analyze hardware and software constraints, build or adapt models and services, and translate business or research needs into computable designs. Expect coordination with managers and vendors to set priorities, unblock delivery, and resolve integration issues while advancing applied innovation rather than pure theory alone.
Strengthen foundations in algorithms, systems, and applied AI engineering with free or free-to-learn paths:
You analyze problems, design software and models, set work priorities, and work with managers and vendors to deliver reliable technical solutions.
Experience building production software, applying AI or advanced computing methods, and leading technical problem-solving from analysis through implementation.
Start with freeCodeCamp, Saylor CS courses, CS50 (free to learn), and Microsoft Learn developer paths listed in the skills roadmap.
Public-domain labor data — prepare examples for 2–3 of these.
Website: mcpk.com
Public cache only — not an employee review.
Mcpk is hiring a Senior AI Engineer for a full-time role based in -, -. Professionals searching for Senior AI Engineer jobs in -, - or Mcpk careers will find a clear path to contribute technical leadership on artificial intelligence systems. Position Summary The Senior AI Engineer position at Mcpk centers on designing, building, and refining production-grade artificial intelligence solutions. Working on site in -, -, you will combine deep model expertise with practical engineering judgment to turn research ideas into reliable systems that the organization can depend on day to day. The role demands ownership of end-to-end AI workstreams, from early prototypes through monitoring after release, while mentoring colleagues and aligning technical choices with broader product goals. What You'll Do Architect and implement machine-learning models and supporting data pipelines that meet performance, latency, and reliability targets. Translate ambiguous business requirements into clear technical specifications, experiments, and iterative delivery plans. Evaluate model accuracy, bias, and robustness using rigorous testing frameworks and real-world validation data. Collaborate with software, data, and product teammates to integrate AI components into existing platforms and services. Optimize training and inference workflows for cost efficiency, scalability, and maintainability in production environments. Document architecture decisions, experiment outcomes, and operational runbooks so knowledge stays accessible across the team. Guide junior engineers through code reviews, design discussions, and practical problem-solving on AI projects. What You Bring Substantial professional experience delivering AI or machine-learning systems in a senior or lead capacity. Strong command of Python and modern ML frameworks such as PyTorch or TensorFlow, plus solid software-engineering fundamentals. Proven ability to move models from research notebooks into monitored production services. Comfort working with large datasets, distributed training techniques, and common deployment patterns. Clear communication skills that let you explain complex technical trade-offs to both engineers and non-technical stakeholders. A track record of shipping iterative improvements rather than one-off prototypes. More About Mcpk Mcpk is hiring for this role and offers a supportive team environment. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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