Sr. Lead AI and Machine Learning Engineer ( REMOTE) - 27033

Qualifications

• 5+ years in AI/ML development
• Strong Python skills and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with modeling, forecasting, and automation solutions
• Excellent problem-solving and communication skills
• AWS SageMaker, MLflow, Kubeflow
• Apache Spark, Docker, Kubernetes
• SQL, data pipelines, vector databases
• Experience with inference APIs and transformer models

Responsibilities

• Lead AI and Machine Learning Engineer (REMOTE)
• This role involves integrating advanced AI tools like Large Language Models (LLMs) and Natural Language Processing (NLP) into products, collaborating across teams, and helping shape AI best practices
• Design and Deploy AI-Driven Automation Systems
• Build and Maintain ML Models in Production
• Integrate LLMs, NLP, and Emerging AI Solutions
• Collaborate with Cross-Functional Teams
• Ensure Responsible AI Governance
• Mentor Junior Engineers and Promote Code Best Practices

Full Description

Sr. Lead AI and Machine Learning Engineer (REMOTE)

Daley And Associates is seeking a Senior AI/ML Engineer to lead AI initiatives, develop scalable ML models, and build automation systems that enhance decision-making and operational efficiency.

This role involves integrating advanced AI tools like Large Language Models (LLMs) and Natural Language Processing (NLP) into products, collaborating across teams, and helping shape AI best practices.

Key Responsibilities:

• Design and Deploy AI-Driven Automation Systems

• Build and Maintain ML Models in Production

• Integrate LLMs, NLP, and Emerging AI Solutions

• Collaborate with Cross-Functional Teams

• Ensure Responsible AI Governance

• Mentor Junior Engineers and Promote Code Best Practices

Qualifications:

• Bachelor's in Computer Science, Artificial Intelligence, or related field (Master's preferred)

• 5+ years in AI/ML development

• Strong Python skills and ML frameworks (PyTorch, TensorFlow, scikit-learn)

• Experience with modeling, forecasting, and automation solutions

• Excellent problem-solving and communication skills

Bonus Skills:

• AWS SageMaker, MLflow, Kubeflow

• Apache Spark, Docker, Kubernetes

• SQL, data pipelines, vector databases

• Experience with inference APIs and transformer models

Job Details:

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Staffing and Recruiting