Senior Machine Learning Engineer (Remote)

Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Prixite

Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer | Prixite |Pakistan

About Prixite 

At Prixite, we’re at the forefront of AI innovation,...

Senior Machine Learning Engineer | Prixite | Pakistan

About Prixite 

At Prixite, we’re at the forefront of AI innovation, transforming businesses through cutting-edge machine learning solutions. Since 2020, we’ve completed over 237+ projects across multiple continents, building sophisticated AI systems that solve real-world challenges. Our AI & Machine Learning division specializes in computer vision, predictive analytics, and intelligent automation solutions that help businesses stay ahead of the curve. 

The Role 

We’re seeking an experienced Senior Machine Learning Engineer to lead our computer vision initiatives and drive innovation in our AI solutions. This role combines deep technical expertise with leadership responsibilities, focusing on developing and deploying sophisticated object detection systems and other computer vision applications. 

Why Prixite 

  • Work with a diverse portfolio of international clients across North America, Europe, MENA, and Southeast Asia 
  • Lead projects using cutting-edge AI technologies and frameworks 
  • Collaborate with a team of skilled ML engineers and data scientists 
  • Access to continuous learning resources and professional development opportunities 
  • Contribute to innovative projects that impact businesses globally 

What You’ll Do 

  • Lead the design and implementation of computer vision and object detection systems 
  • Develop and optimize ML models for production environments 
  • Guide junior team members and provide technical mentorship 
  • Collaborate with cross-functional teams to understand business requirements 
  • Research and implement state-of-the-art computer vision techniques 
  • Ensure high performance and reliability of ML systems 
  • Write clean, maintainable, and efficient code 
  • Participate in code reviews and technical discussions 
  • Document technical specifications and architecture decisions 

What You Bring 

  • 5+ years of experience in machine learning engineering 
  • Master’s or Ph.D. in Computer Science, Machine Learning, or related field 
  • Extensive experience with computer vision and object detection projects 
  • Strong proficiency in PyTorch, TensorFlow, and OpenCV 
  • Expert knowledge of Python and related ML libraries 
  • Experience with CNN architectures and deep learning frameworks 
  • Strong background in developing and deploying ML models to production 
  • Experience with version control systems and CI/CD pipelines 

What Will Set You Apart 

  • Publications in computer vision or machine learning conferences/journals 
  • Experience with MLOps tools like Kubeflow and MLflow 
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) 
  • Contributions to open-source ML projects 
  • Experience with edge AI deployment 

What We Offer 

  • Financial Stability: Competitive salary with annual increments 
  • Growth & Development: Professional development budget and training programs 
  • Flexibility: Remote work options with flexible hours 
  • Health Benefits: Medical coverage and health support 
  • Leave Policy: Comprehensive leave structure including casual, sick, and annual leaves 
  • Technical Resources: Access to cutting-edge AI tools and platforms 
  • Community: Regular team building and knowledge sharing sessions 

Our Commitment to Diversity, Equity, and Inclusion 

At Prixite, we’re committed to building a workplace where everyone feels included and respected. We value diverse backgrounds, experiences, and perspectives and are dedicated to providing equal opportunities for all. Our commitment to DEI is reflected in every aspect of our culture, from recruitment and mentorship to community engagement. 

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Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

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