Top 5

skills:
1. Production Experience with atleast 2 Agentic deployments 2. Deep understanding of harness engineering, grounding and evaluation 3. Strong python programming and pydyantic/ Langraph framework 4. LLM Ops, pipelines 5. Clear and solid verbal communication Required Qualifications
•

Experience:
8+ years of progressive experience in Data Science, Machine Learning, or Applied AI research, with a minimum of 3 years in a leadership or principal role.
• Technical Depth: Expert proficiency in Python and ML frameworks (PyTorch, TensorFlow). Deep knowledge of statistical modeling, machine learning fundamentals, and distributed computing.
• Ownership Track Record: Demonstrated history of successfully taking ownership of complex,



ambiguous AI projects and driving them from initial concept/POC to stable production release.
• Architecture: Robust understanding of Microservices architecture and experience designing cloud-native ML solutions (AWS, GCP, or Azure).
• Communication: Exceptional ability to distill complex technical and mathematical concepts into clear business implications for executive leadership.
•

Education:
Master’s or Ph.
D. in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.

📌 AI Engineer (Hyderabad)
🏢 Algoleap Technologies
📍 Hyderabad