send your resumes to HR@aegletek.com About the Role We seek a hands-on Delivery Lead with 10–12 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10–12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: AI/ML frameworks (TensorFlow, PyTorch, LLMs). Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelor’s/Master’s in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus. Show more Show less

send resumes to HR@aegletek.com We seek a hands-on Delivery Lead with 10–12 years of experience to own end-to-end execution of AI/ML projects, mentor technical teams, and collaborate with sales to scale our consulting solutions. Key Responsibilities 1. Project Delivery Own client-facing AI/ML projects from scoping to deployment, ensuring quality, timelines, and business impact. Guide teams on architecture, model design, and deployment (cloud/on-prem). 2. Team Leadership Lead and mentor data scientists/engineers, fostering skill growth and collaboration. Drive best practices in AI/ML (LLMs, MLOps, Agile). 3. Sales Collaboration Partner with sales to scope proposals, estimate efforts, and present technical solutions to clients. Must-Have Skills 10–12 years in AI/ML, with 5+ years leading teams in consulting/client delivery. Expertise in: AI/ML frameworks (TensorFlow, PyTorch, LLMs). Cloud platforms (AWS/Azure/GCP) and CI/CD pipelines. Python/R, data engineering (Spark, Kafka). Strong communication and client/stakeholder management. Good to Have Familiarity with MLOps (Docker, Kubernetes). Agile/Scrum certification. Qualifications Bachelor’s/Master’s in CS, Data Science, or related field. Certifications (e.g., AWS ML, Azure AI Engineer) are a plus. Show more Show less