Senior AI Engineer

3 weeks ago

New York, United States Experis Full time
We have an excellent opportunity with our direct client.
Please see below Job description for your reference

Senior AI Engineer
Hybrid in 3 Bryant Park, NYC
Contract on W2

We are seeking a highly skilled **Senior AI Engineer** with a strong background in building agent-based workflows and extensive experience in designing, developing, and deploying AI solutions. 
This individual will play a critical role in leading the technical development of innovative AI systems, collaborating closely with cross-functional teams, and mentoring junior engineers. 
As a key member of our organization, you will have the autonomy to drive projects from inception to completion, contributing your expertise in agent-based models and advanced AI techniques to achieve our strategic goals.
 
**Responsibilities:**
- **Lead the Design and Development of AI Solutions:** Architect, design, and implement AI-driven solutions, with a focus on agent-based workflows, to address complex business problems.
- **Technical Ownership:** Assume full technical responsibility for projects, driving best practices, maintaining high-quality code, and ensuring the successful deployment of scalable, maintainable AI systems.
- **Collaboration & Communication:** 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.
- **Mentorship & Team Development:** Mentor and guide junior engineers, fostering a collaborative and knowledge-sharing environment. 
Provide technical guidance and support to help them grow in AI skills and problem-solving capabilities.
- **Innovation & Research:** Stay current with industry advancements and emerging trends in AI, machine learning, and agent-based models. 
Apply this knowledge to continually improve existing AI systems and explore new opportunities.
- **Documentation & Reporting:** Produce clear, comprehensive documentation for AI systems and workflows, ensuring transparency and knowledge continuity within the team.
 
**Qualifications:**
**Education:** 
Bachelor’s degree (master’s preferred) in Computer Science, Data Science, AI, or a related field.
 
**Experience:** 
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.
  
**Technical Skills:**
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.
  
**Soft Skills:** 
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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