Senior Research Engineer

We are looking for a Senior Research Engineer to lead the research, development, and implementation of advanced Artificial Intelligence and Machine Learning solutions. This role combines AI research, hands-on engineering, experimentation, and production deployment to solve complex business and technical problems.

The ideal candidate has strong experience in AI/ML, Generative AI, Large Language Models (LLMs), deep learning, machine learning algorithms, and AI-driven applications , with the ability to turn research ideas into practical, scalable solutions.

Key Responsibilities

• Research and develop advanced AI and Machine Learning models and solutions .
• Design, build, test, and deploy AI/ML applications for real-world business problems.
• Work with Generative AI, LLMs, NLP, deep learning, computer vision, and predictive analytics .
• Develop and evaluate machine learning models, algorithms, and AI architectures.
• Experiment with emerging AI technologies and identify opportunities for innovation.
• Develop AI prototypes and transform successful research concepts into production-ready solutions.
• Build and improve AI agents, RAG solutions, embeddings, model evaluation, and AI-powered automation .
• Work with large datasets to develop, train, fine-tune, and evaluate AI/ML models.
• Collaborate with software engineers, data scientists, product teams, and business stakeholders.
• Establish best practices for AI model performance, scalability, security, and responsible AI .
• Stay current with the latest developments in AI, ML, Generative AI, and foundation models.
• Mentor junior engineers and contribute to the organization's AI technical strategy.

Required Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 5+ years of experience in AI/ML, Machine Learning Engineering, Data Science, or related areas.
• Strong hands-on experience developing and deploying AI/ML solutions.
• Experience with Generative AI, LLMs, RAG, prompt engineering, AI agents, and model evaluation .
• Strong knowledge of machine learning and deep learning frameworks such as Python, PyTorch, TensorFlow, or similar technologies .
• Experience with cloud AI/ML platforms and production machine learning environments.
• Understanding of MLOps, model deployment, APIs, data pipelines, and scalable AI architectures.
• Strong analytical, research, problem-solving, and communication skills.

Preferred Experience

• Experience conducting AI/ML research and publishing or presenting technical work.
• Experience with fine-tuning and adapting foundation models.
• Experience with vector databases, knowledge retrieval, and enterprise AI applications.
• Experience designing AI solutions for supply chain, warehouse, logistics, manufacturing, or other enterprise environments.
• Experience leading AI projects from research and proof of concept through production deployment .

What Success Looks Like

The successful candidate will help build the organization's next generation of AI capabilities , turning innovative research into practical solutions that improve automation, decision-making, productivity, and business performance.