This is a remote position.<\/p>
About the Role:<\/b> Design and deliver advanced data science, machine learning, and generative AI solutions Take ownership of complex system design, cloud\-based AI platforms, and mentoring junior engineers Perform hands\-on technical development in a senior engineering role Key Responsibilities:<\/b> Design, develop, and deploy production\-grade AI, GenAI, and machine learning solutions using Python Act as a technical lead across one or more project teams, ensuring design quality and delivery standards Define and contribute to data and AI architecture strategy and roadmaps Design complex systems using solid system design and domain\-driven design principles Build and optimize end\-to\-end ML and GenAI pipelines from experimentation to production Apply advanced AI techniques, preferably in NLP and generative AI, with exposure to other AI domains Work with knowledge graphs and graph databases where applicable Write high\-quality, well\-tested, and well\-documented production code with clean APIs Mentor and guide junior engineers and contribute to technical reviews Work in Agile environments using tools such as Jira or Azure DevOps Required Skills & Qualifications:<\/b> Strong expertise in Python development 5รขยย10 years of overall industry experience, with at least 4+ years in AI, machine learning, or GenAI projects Deep understanding of ML and generative AI model development lifecycles Strong experience with ML and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain Solid experience with at least one cloud platform, preferably AWS (Azure or GCP acceptable) Strong background in system design, complex distributed systems, and domain\-driven design Proven ability to solve complex problems and design custom ML solutions beyond standard libraries Experience working in Agile delivery models
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