ManpowerGroup - New York, NY

posted 10 days ago

Full-time - Senior
New York, NY
Administrative and Support Services

About the position

The Senior AI Engineer will be responsible for leading the technical development of innovative AI systems, focusing on agent-based workflows. This role involves collaborating with cross-functional teams, mentoring junior engineers, and driving projects from inception to completion, utilizing advanced AI techniques to meet strategic goals.

Responsibilities

  • Architect, design, and implement AI-driven solutions focusing on agent-based workflows to address complex business problems.
  • Assume full technical responsibility for projects, driving best practices, maintaining high-quality code, and ensuring successful deployment of scalable AI systems.
  • Work closely with stakeholders, product managers, and data science teams to align AI initiatives with business objectives.
  • Clearly articulate project progress, challenges, and roadmaps to both technical and non-technical stakeholders.
  • Mentor and guide junior engineers, fostering a collaborative and knowledge-sharing environment.
  • Stay current with industry advancements and emerging trends in AI, machine learning, and agent-based models.
  • Produce clear, comprehensive documentation for AI systems and workflows.

Requirements

  • Bachelor's degree (master's preferred) in Computer Science, Data Science, AI, or a related field.
  • 10+ years of professional experience in AI/ML engineering, with a proven track record of building and deploying agent-based models and AI-driven workflows.
  • Proficiency in Python, R, or other relevant programming languages.
  • Deep understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Expertise in developing agent-based models, reinforcement learning, and multi-agent systems.
  • Strong knowledge of data processing, data engineering, and distributed computing technologies (e.g., Spark, Hadoop).
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Exceptional problem-solving abilities and analytical thinking.
  • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to work independently, take initiative, and operate with minimal supervision.
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