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Senior AI Engineer/Lead

This role is a Senior AI Engineer/Lead for a contract exceeding 6 months, offering $116,988.85 - $140,000 annually. Requires 10+ years in software engineering, expertise in AI/ML, Python, JavaScript, cloud platforms, and offshore team leadership. Hybrid work in NYC.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
636
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, NY
🧠 - Skills detailed
#Security #React #Python #Scala #Azure #Docker #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Databases #Consulting #TensorFlow #Leadership #NLP (Natural Language Processing) #Deployment #Strategy #Consul #AI (Artificial Intelligence) #Libraries #AWS (Amazon Web Services) #DevOps #Kubernetes #NoSQL #ML (Machine Learning) #Cloud #Big Data #Hugging Face #Compliance #JavaScript #PyTorch
Role description
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Job Description: We are seeking a Senior Fullstack AI Principal Consultant/Lead to drive AI strategy, solution architecture, and offshore development team leadership. This role demands expertise in AI/ML, fullstack development, and client engagement. The ideal candidate will be responsible for leading offshore AI initiatives, collaborating with senior client stakeholders, and expanding the consulting footprint by delivering value-driven AI solutions. Candidate should be ready to commute to client NYC office 2 days a week.
Key Responsibilities:
· Lead and mentor an offshore AI development team, ensuring high-quality deliverables.
· Collaborate with senior client stakeholders to understand business needs and propose AI-driven solutions.
· Architect and oversee the design, development, and deployment of AI-powered fullstack applications.
· Develop POV (Proof of Value) and solution roadmaps for clients.
· Identify opportunities to expand AI consulting services and drive business growth.
· Implement scalable, maintainable, and secure AI solutions leveraging cloud and on-premises environments.
· Ensure seamless integration of AI models with enterprise systems and workflows.
· Optimize system performance while ensuring adherence to security and compliance standards.
· Drive the adoption of cutting-edge AI frameworks, libraries, and technologies.
· Act as a bridge between offshore teams and client stakeholders, ensuring effective communication and engagement success.
Required Skills & Experience:
· 10+ years of experience in software engineering, with a focus on AI/ML applications.
· Strong expertise in Python, JavaScript (React, Node.js), and backend technologies
· Proven experience in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
· Experience in LLMs (Large Language Models), Generative AI, and NLP.
· Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
· Experience in leading offshore teams and managing large-scale AI development projects.
· Strong client-facing and consulting skills, with the ability to engage and influence senior stakeholders.
· Demonstrated experience in developing and presenting POVs, proposals, and AI solution strategies.
· Knowledge of databases (SQL, NoSQL) and big data technologies.
· Strong grasp of security, performance optimization, and DevOps practices.
· Excellent leadership, communication, and problem-solving skills
Job Types: Full-time, Contract
Pay: $116,988.85 - $140,000.00 per year
Schedule:

Monday to Friday

Experience:

software engineering, with a focus on AI/ML: 10 years (Preferred)
Python, JavaScript (React, Node.js), and backend: 8 years (Preferred)
AI/ML frameworks such as TensorFlow, PyTorch,: 6 years (Preferred)
LLMs (Large Language Models), Generative AI, and NLP: 5 years (Preferred)
cloud platforms (AWS, Azure, GCP): 5 years (Preferred)
managing large-scale AI development projects.: 5 years (Preferred)
databases (SQL, NoSQL) and big data technologies.: 1 year (Preferred)

Ability to Commute:

New York, NY (Preferred)

Ability to Relocate:

New York, NY: Relocate before starting work (Preferred)

Work Location: On the road