Note: The job is a remote job and is open to candidates in USA. Confidential is seeking a Senior Research Engineer to lead the research, development, and implementation of advanced Artificial Intelligence and Machine Learning solutions. The role involves developing, evaluating, and deploying AI/ML applications, including Generative AI, LLMs, NLP, computer vision, RAG, and AI-powered automation, while mentoring engineers and contributing to AI strategy.
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
Skills
- 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
- 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
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