AIML Engineer
Job Title: Lead AI/ML Engineer
Location : Remote
Duration : Fulltime
Teams Meeting Video Call
Description
Required Qualifications:
• Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
• Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
• Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
• Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
• Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
• Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
Apply Now
Apply Now
Location : Remote
Duration : Fulltime
Teams Meeting Video Call
Description
Required Qualifications:
• Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
• Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
• Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
• Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
• Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
• Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).
Apply Now
Apply Now