Senior AI/ML Engineer

• ML Model Development: Lead end-to-end development and deployment of machine learning models.
  
• Collaborate: Work with product teams to understand requirements and translate them into AI/ML solutions.
  
• Optimize Pipelines: Build scalable and efficient ML pipelines, following data management best practices.
  
• MLOps Leadership: Lead MLOps efforts—model deployment, monitoring, retraining.
  
• Mentor Junior Engineers: Foster a learning culture, guide junior engineers.
  
• Integration: Work with development teams to integrate AI models smoothly into the product
  

Requirements

• Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, or similar.
  
• Python Mastery: Advanced proficiency in Python, clean, maintainable code practices.
  
• ML Frameworks & Tools: Expertise in TensorFlow, PyTorch, Docker, and Kubernetes for deployment.
  
• MLOps: Experience building ML deployment pipelines using Kubeflow, MLflow.
  
• Data Skills: Extensive experience in data wrangling, working with both structured and unstructured data.
  
• Architectural Expertise: Proven experience designing AI architectures for scale and reliability.
  
• Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, GCP, managing models in cloud environments.
  
• Product Lifecycle: Experience deploying ML models as part of product development.
  
• Open-Source Contributions: Past contributions to open-source AI/ML communities.
  
• Innovation & Creativity: Proven ability to create AI solutions independently from the ground up.
  
• Ability to take initiative, work independently, deliver projects with minimal supervision.
  
• Strong communication to articulate technical concepts across teams.
  
• Proven experience in mentoring or managing junior engineers.
  

Benefits

• Health Insurance: Ensure peace of mind with our comprehensive health insurance coverage, offering you and your family access to high-quality healthcare whenever necessary.
  
• Provident Fund Contribution: Our company provides a provident fund policy with contributions from both the employer and employee. This collaborative effort actively builds your retirement savings, establishing a robust financial foundation for your future.
  
• Hybrid Work Mode and Flexible Working Hours: Embrace flexibility through our hybrid work mode, allowing you to work remotely for two days from home and spend three days in the office. Take charge of your schedule with our flexible working hours policy, empowering you to manage personal appointments and commitments effectively.
  
• Open Fridge Policy: Foster a positive atmosphere in our office with an open fridge policy. Enjoy a diverse selection of beverages and snacks freely available to all employees, keeping you refreshed throughout the day.
  
• International Expert Team: Collaborate with a diverse team of international experts to broaden your professional horizons. Learn and work alongside professionals from different backgrounds, fostering personal and career growth.
  
• Opportunity to work on cutting-edge embedded systems technologies in a dynamic and innovative environment.
  
• Exposure to challenging projects and opportunities for professional growth.​