Senior AI Engineer
Role details
Job location
Tech stack
Job description
· Lead the development and delivery of AI and machine learning solutions for enterprise clients. · Apply advanced AI techniques, including deep learning, machine learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI model, to create systems that independently learn & evolve. · Provide strategic guidance on AI architecture and deployment strategies for scalable, efficient and autonomous solutions · Collaborate with multidisciplinary teams to develop innovative solutions that enhance decision-making and operational efficiency leverage AI to autonomously analyze data & generate actionable insights · Provide thought leadership in the latest AI technologies, including large language models and generative AI
Requirements
Do you have experience in TensorFlow?, Do you have a Master's degree?, We are seeking a technically skilled and versatile Senior AI Engineer with a strong background in mathematics/ computer science and a proven track record of delivering innovative AI solutions through both collaborative and individual projects. The ideal candidate will have extensive experience across various industries and sectors, demonstrating the ability to quickly adapt to new challenges, consider trade-offs, recommend solutions, and lead their development to achieve meaningful impact., · Bachelor's or Master's in Computer Science/Engineering, Statistics, Mathematics, or a related STEM field. · Over five years of advanced data science experience in industry or engineering. · Proven experience in AI software delivery and successful deployment of AI solutions. · Hands-on expertise in Python and AI/data science libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, PyTorch Geometric, JAX, XGBoost, OpenCV, Transformers, Langchain, Pinecone). · Proficiency in cloud compute systems for training and deploying models. · Strong communication and strategic skills.
Preferred Skills: · Experience in reliability, corrosion, well and reservoir facility management (WRFM), process engineering, and advanced sensing technologies. · Exposure to downstream customer platforms and trading ERP systems. · Experience with platforms like Azure ML Studio, Foundry, or Databricks Mosaic. · Familiarity with natural language processing, large language model deployment, Agentic AI (MCP, A2A, N8N), and retrieval augmented generation systems.