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AI/ML Engineer

Remote
Full-time
AI Engineering

Join our AI team to develop and implement machine learning solutions that solve complex business problems for our clients.

About the Role

As an AI/ML Engineer at DexaMinds, you'll be responsible for designing, developing, and deploying machine learning models and AI solutions. You'll work on projects across various domains, from natural language processing to computer vision, helping our clients leverage AI to solve complex business problems and drive innovation.

Responsibilities

  • Design and implement machine learning models and algorithms
  • Process and analyze large datasets to extract insights
  • Develop and maintain AI pipelines and infrastructure
  • Collaborate with cross-functional teams to integrate AI solutions
  • Evaluate and improve model performance
  • Stay current with advances in AI/ML research and technologies

Requirements

  • 3+ years of experience in AI/ML engineering
  • Strong background in Python and data science libraries
  • Experience with LLMs, RAG pipelines, and agent-based systems
  • Knowledge of ML frameworks (TensorFlow, PyTorch)
  • Understanding of MLOps and model deployment
  • Strong mathematical and statistical skills
  • Excellent problem-solving abilities

Preferred Qualifications

  • Experience with cloud-based ML services (AWS SageMaker, Azure ML)
  • Knowledge of distributed computing frameworks
  • Background in computer vision or natural language processing
  • Experience with real-time prediction systems
  • Contributions to research papers or open-source projects

Our Hiring Process

  1. Application Review: Our recruitment team will review your application and resume.
  2. Initial Interview: If your profile matches our requirements, we'll schedule an initial interview.
  3. Technical Assessment: You'll complete a technical assessment relevant to the role.
  4. Team Interview: Meet with potential team members and leaders.
  5. Offer & Onboarding: If selected, we'll extend an offer and work with you on a smooth onboarding.

Ready to Apply?

If you're excited about this opportunity and believe you're a good fit, we'd love to hear from you!

Apply Now

Please include your resume and a brief cover letter explaining why you're interested in this role.