Job Description

Our client is an exciting Generative AI Start-Up at the forefront of innovation, transforming industries with cutting-edge AI solutions. Leveraging advanced machine learning and artificial intelligence, they are redefining how businesses operate by building next-generation AI applications that drive automation, efficiency, and customer engagement. They are seeking a Machine Learning Engineer to enhance their AI capabilities and contribute to groundbreaking advancements in Generative AI.

What do we need?

We are looking for a highly skilled Machine Learning Engineer with deep expertise in Generative AI models, AI/ML frameworks, and cloud-based infrastructure. The ideal candidate will have at least five years of experience developing, training, and deploying machine learning models in production, with a strong emphasis on generative models, transformers, and AI-driven applications.

This role requires a strategic thinker and hands-on developer who can translate business challenges into GenAI-powered solutions. The Machine Learning Engineer will be instrumental in designing scalable ML pipelines, optimizing generative models, and driving continuous innovation in AI applications.

What will you do?

• Generative Model Development: Design, develop, and fine-tune Generative AI models (e.g., transformers, diffusion models, GANs, VAEs) to create innovative AI applications.
• Algorithm Optimization: Enhance model accuracy, efficiency, and scalability through advanced tuning, feature engineering, and data preprocessing.
• Data Pipeline & Infrastructure: Build and maintain scalable data pipelines to support large-scale model training, real-time inference, and multimodal AI applications.
• Model Deployment & Integration: Deploy and integrate Generative AI models into production systems, ensuring high performance and minimal latency.
• AI Tool Utilization: Leverage cutting-edge AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain to accelerate development and optimize model performance.
• Performance Monitoring & Continuous Improvement: Monitor AI model performance in production and implement iterative improvements for enhanced accuracy and efficiency.
• Cross-Functional Collaboration: Work closely with AI researchers, software engineers, and product teams to build and deploy state-of-the-art GenAI applications.
• Research & Innovation: Stay ahead of advancements in Generative AI, exploring novel architectures and methodologies to enhance business impact.

Who you are

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in machine learning, AI, or deep learning, with a strong focus on Generative AI.
• Strong proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, Hugging Face, and Scikit-learn.
• Expertise in transformers, large language models (LLMs), generative adversarial networks (GANs), diffusion models, and multimodal AI.
• Proven experience deploying GenAI models in production (e.g., OpenAI, Stable Diffusion, LangChain, or similar).
• Strong background in cloud platforms (AWS, Azure, Google Cloud) and scalable ML infrastructure.
• Experience with NLP, computer vision, and multimodal AI applications.
• Excellent problem-solving and analytical skills, with a track record of turning AI research into real-world applications.
• Strong communication and collaboration skills, with the ability to work across teams.

Why Join?

• Be at the forefront of Generative AI innovation, working with cutting-edge technologies and AI experts.
• Shape the future of AI-driven applications within a fast-growing, high-impact company.
• Work on real-world AI challenges that push the boundaries of automation and intelligence.
• Competitive compensation package with performance-based incentives.
• Career growth opportunities in a dynamic and fast-growing AI company.

If you are passionate about Generative AI and eager to create impactful AI-driven applications, we encourage you to apply!

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