Job Description: Lead - AI Engineer at Xerago

Overview

At Xerago, we believe in empowering individuals to script their own success stories. We are looking for a Lead - AI Engineer who will drive our mission for customer immortality by managing a team of AI engineers, delivering high-quality AI models with strong predictive accuracy, and exploring emerging technologies.

Key Responsibilities

• Design, develop, and implement AI models using:
  • Python
  • TensorFlow
  • PyTorch
• Collaborate with data teams to clean, manipulate, and analyze large datasets using:
  • NumPy
  • Pandas
• Oversee deployment of AI solutions on cloud platforms:
  • AWS
  • Google Cloud
  • Microsoft Azure
• Lead and mentor AI engineers, fostering a culture of continuous learning.
• Collaborate with stakeholders to define AI strategies, manage timelines, and ensure successful project delivery.

Qualifications

• Bachelor's degree in Computer Science, IT, Machine Learning, or related field with focus on AI/ML
• Expertise in:
  • Python programming
  • Deep learning frameworks:
    • TensorFlow
    • PyTorch
  • Data manipulation libraries:
    • NumPy
    • Pandas
• Proficiency in cloud platforms:
  • AWS
  • Google Cloud
  • Microsoft Azure
• Certifications (Good to have):
  • Google Professional Machine Learning Engineer
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • TensorFlow Developer Certificate by Deeplearning.ai
• Strong skills in communication, leadership, team management, problem-solving, and strategic thinking.

Job Details

• Type: Full-time
• Schedule: Day shift
• Work Location: In person

Job Highlights

• Lead role in AI development and team management
• Work with advanced AI frameworks and cloud platforms
• Opportunity to shape AI strategies for a growing organization
• In-person work with a day shift schedule
• Certifications and skills in AI and cloud computing are valued