Join an innovative Generative AI Start-Up leading the way in transforming industries through cutting-edge AI solutions. Our client is harnessing advanced machine learning and artificial intelligence to revolutionize business operations by crafting next-generation AI applications aimed at driving automation, efficiency, and enhancing customer engagement. We are inviting talented individuals to apply for the position of Machine Learning Engineer, where you will contribute to pioneering advancements in Generative AI.
What are we looking for? We seek a skilled Machine Learning Engineer with a deep understanding of Generative AI models, AI/ML frameworks, and cloud infrastructure. The ideal candidate will have a minimum of five years of experience in developing, training, and deploying machine learning models with a focus on generative models, transformers, and AI-driven applications.
This role requires a strategic-minded and hands-on developer capable of turning business challenges into GenAI solutions. As a Machine Learning Engineer, you will play a key role in designing scalable ML pipelines, optimizing generative models, and driving ongoing innovation in AI applications.
Your responsibilities will include: - Generative Model Development: Design, develop, and fine-tune Generative AI models (e.g., transformers, diffusion models, GANs, VAEs) to create cutting-edge AI applications.
- Algorithm Optimization: Improve model accuracy, efficiency, and scalability through advanced tuning, feature engineering, and data preprocessing.
- Data Pipeline & Infrastructure: Build and maintain scalable data pipelines for large-scale model training, real-time inference, and multimodal AI applications.
- Model Deployment & Integration: Deploy and integrate generative AI models into production systems to ensure high performance and minimal latency.
- AI Tool Utilization: Utilize the latest AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain to enhance development processes and optimize model performance.
- Performance Monitoring & Continuous Improvement: Monitor AI model performance post-deployment and implement improvements for enhanced accuracy and efficiency.
- Cross-Functional Collaboration: Work collaboratively with AI researchers, software engineers, and product teams to create and launch advanced GenAI applications.
- Research & Innovation: Stay updated on the latest developments in Generative AI, exploring new architectures and methodologies to maximize 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.
- Proficient in Python and familiar with ML frameworks including TensorFlow, PyTorch, Hugging Face, and Scikit-learn.
- Expertise in transformers, large language models (LLMs), GANs, diffusion models, and multimodal AI.
- Hands-on experience deploying GenAI models in production (e.g., OpenAI, Stable Diffusion, LangChain, or similar).
- Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and scalable ML infrastructure.
- Experience with NLP, computer vision, and multimodal AI applications.
- Exceptional problem-solving and analytical skills, with a proven ability to apply AI research in practical settings.
- Strong communication and teamwork skills, with a capacity to collaborate across departments.
Why join us? - Work at the forefront of Generative AI innovation with access to the latest technologies and experts in the field.
- Shape the future of AI applications in a fast-growing, impactful company.
- Engage with real-world AI challenges that challenge the limits of automation and intelligence.
- Enjoy a competitive compensation package with performance-based incentives.
- Explore career growth opportunities within a dynamic and rapidly growing AI company.
If you have a passion for Generative AI and a desire to create impactful AI-driven applications, we encourage you to apply.