Overview
Job Description
Job Description
Benefits:
• 401(k) matching
• Competitive salary
• Flexible schedule
• Health insurance
• Relocation bonus
Title : Machine learning / AI Engineer
Location : Hybrid.
Duration : Full Time (18+ months).
Exp. Req. : 8+ / 10+ yrs. ( Mid-Level & Senior level positions)
Roles & Responsibilities:
• Minimum 8-10+ years of IT experience.
• Expert-level competency in Python.
• Good experience in developing AI-enabled solutions.
• Hands-on experience in developing and deploying machine learning solutions.
• Strong knowledge and experience in developing GenAI embedded solutions.
• Experience with AI cloud services (e.g., Azure, AWS, Google Cloud) is an added advantage.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
• Develop, Validate, Deploy, and Monitor GenAI Solutions: Work on generative AI (GenAI) embedded solutions across various use cases.
• Conduct Rapid Experimentation: Experiment with GenAI use cases using Azure cloud AI and data services.
• Utilize Open-Source Solutions: Develop and deploy GenAI embedded solutions using open-source tools.
If you are a motivated and skilled Machine learning/ AI Engineer with a passion, we invite you to apply at sudheer(@)careits (.) com for this exciting opportunity.
Thank you
Flexible work from home options available.
Company:
Jobs via Dice
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
