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AI/ML Engineer - Join our growing community

Xenon7 partners with enterprises and startups to deliver IT solutions across Data, Web, Infrastructure, and AI domains.
Machine Learning
Senior Software Engineer
Hybrid
6+ years of experience
AI · Enterprise SaaS

Description For AI/ML Engineer - Join our growing community

Xenon7 is seeking senior AI/ML professionals to join their growing community of tech talent. This role offers an opportunity to work on cutting-edge projects in AI and machine learning, collaborating with leading enterprises and innovative startups. The position requires 6+ years of experience in ML pipelines, AI integration, and data engineering, with expertise in cloud platforms and modern ML tools. As an AI/ML Engineer, you'll be responsible for designing and scaling real-world AI/ML platforms, guiding innovation sprints, mentoring emerging talent, and co-creating tools that solve complex data challenges across industries. The role offers a collaborative environment, flexible work arrangements, and the chance to influence the future of AI technology. Xenon7 provides a structured onboarding process, including technical assessments and project matching, ensuring every team member is properly aligned and empowered. The company culture emphasizes continuous learning, engineering excellence, and impact-driven work, making it an ideal environment for professionals who want to make a significant contribution to the field of AI/ML while growing their careers.

Last updated 12 days ago

Requirements For AI/ML Engineer - Join our growing community

Python
  • 6+ years of expertise in ML pipelines, AI integration, and data engineering
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with tools such as MLflow, Spark, orchestration frameworks, and lakehouse architectures
  • A track record of innovation in domains like healthcare, telecom, or finance
  • A collaborative mindset and eagerness to share knowledge

Benefits For AI/ML Engineer - Join our growing community

  • Collaborative Environment with focus on openness and continuous learning
  • Flexible & Impact-Driven Work with autonomy and ownership
  • Structured but Agile Process with lean onboarding
  • Talent-Led Innovation opportunities
  • Ecosystem of Opportunity for client engagements and thought leadership

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