Machine Learning Engineer (Computer Vision & GenAI)

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Markovate

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python MySQL SQL NoSQL Azure PyTorch CI AWS TensorFlow

Job Description

About Markovate

At Markovate, we don’t just follow trends—we drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients' ambitions. From AI consulting and Gen AI development to pioneering AI agents and agentic AI, we empower our partners to lead their industries with forward-thinking precision and unmatched expertise.


Job Overview

We are seeking an experienced AI/ML Engineer to lead ground-breaking projects in Generative AI, Computer Vision, NLP, Large Language Models (LLMs), and Deep Learning. This is your chance to work with a dynamic, forward-thinking team, drive innovation, and develop scalable AI-powered full-stack applications that solve real-world problems.


Candidate Requirements:


  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 2-4 years of professional experience delivering impactful AI/ML solutions.
  • Proficiency in Python with hands-on experience in TensorFlow, PyTorch, Scikit-learn, or similar
  • Frameworks.
  • Solid understanding of Generative AI, Computer Vision, NLP, LLMs, SLMs, and architectures like CNNs, RNNs, and Transformers.
  • Proficiency in managing SQL and NoSQL databases (MySQL, MongoDB).
  • Strong problem-solving skills and the ability to translate business challenges into scalable AI solutions.


Responsibilities:


  • Own, design, develop, and deploy AI/ML systems to solve complex problems across industries, with a curious and innovation-driven mindset and a keen interest in building scalable, data-driven solutions.
  • Develop and maintain full-stack applications integrating AI-driven capabilities, focusing on performance, scalability, and clean system design.
  • Research, experiment, and implement AI techniques across Generative AI, Computer Vision, NLP, LLMs, and Deep Learning, driven by continuous learning and curiosity.
  • Take hands-on ownership of AI/ML implementation, optimization, benchmarking, and production deployments to ensure reliable, high-quality systems.
  • Collaborate closely with product managers, data scientists, and engineers to translate requirements into scalable, high-impact, data-driven AI solutions as an individual contributor.
  • Troubleshoot complex AI/ML challenges, improve model accuracy and efficiency, and ensure robust, production-ready deployments.
  • Contribute to technical direction by adopting modern AI tools, frameworks, and methodologies, with a strong focus on scalability, innovation, and engineering excellence.


Good to have:


  • Experience with cloud platforms like AWS, Azure, or GCP for deploying AI solutions.
  • Knowledge of MLOps and LLMOps practices for managing large-scale AI/ML deployments.
  • Expertise in CI/CD pipelines and DevOps for seamless full-stack deployments.
  • Contributions to AI research, publications, or open-source projects.


Location - This is a remote job.

What it's like to be at Markovate:


  • At Markovate, we thrive on collaboration and embrace every innovative idea.
  • We invest in continuous learning to keep our team ahead in the AI/ML landscape.
  • Transparent communication is key—every voice at Markovate is valued.
  • Our agile, data-driven approach transforms challenges into opportunities.
  • We offer flexible work arrangements that empower creativity and balance.
  • Recognition is part of our DNA—your achievements drive our success.
  • Markovate is committed to sustainable practices and positive community impact.
  • Our people-first culture means your growth and well-being are central to our mission



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