Sr AI Engineer

AlgoLeap Technologies Pvt Ltd.; Hyderabad; Presencial; INR 3 000 000 - 5 200 000; Tempo integral

Resumo da oferta

Algoleap Technologies Pvt Ltd in Hyderabad seeks a senior AI/ML leader with 6+ years of experience in data science and applied AI.

You will own the end-to-end lifecycle for new AI/ML initiatives, define the technology roadmap, evaluate GenAI/Edge AI, and mentor teams.

Strong Python proficiency, PyTorch/TensorFlow, cloud-native ML, and excellent communication to executives are essential.

Qualificações

• 6+ years in Data Science, ML, or Applied AI research.
• At least 3 years in a leadership or principal role.
• Strong Python and ML framework knowledge (PyTorch, TensorFlow).
• Deep understanding of statistical modelling and distributed computing.
• Experience with cloud-native ML solutions and microservices.

Responsabilidades

• Own end-to-end lifecycle for AI/ML initiatives from problem framing to deployment.
• Define and execute the AI technology roadmap and evaluate emerging technologies.
• Mentor and lead junior and mid-level data scientists and ML engineers.
• Serve as principal technical authority for AI efforts and report to executives.
• Collaborate with DevOps/ML teams to ensure production readiness and governance.
• Oversee deployment of scalable, low-latency inference services.

Conhecimentos

Python programming

PyTorch

TensorFlow

Leadership / ownership

Communication

MLOps

Microservices architecture

Formação académica

Master’s or Ph.D. in Computer Science / Applied Mathematics / Engineering

Ferramentas

AWS / GCP / Azure

Descrição da oferta de emprego

Algoleap Technologies Pvt Ltd | Full time

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

5. Clear and strong verbal communication

Strategic Leadership & Initiative Ownership

• Own the end-to-end lifecycle for new AI/ML initiatives, from initial business problem identification through architectural design, development, and eventual deployment.
  
• Define and execute the AI technology roadmap, constantly evaluating emerging technologies (e.g., LLMs, GenAI, Edge AI) and determining their strategic fit within the organization.
  
• Mentor and provide technical leadership to junior and mid-level Data Scientists and ML Engineers, fostering a culture of technical excellence and rapid experimentation.
  
• Serve as the principal technical authority for AI initiatives, communicating vision and progress to executive stakeholders.
  

MLOps and Production Readiness

• Collaborate closely with DevOps and ML Engineering teams to define and implement best practices for MLOps, ensuring seamless integration of models into the production environment.
  
• Architect and oversee the deployment of scalable, high-availability, and low-latency inference services.
  
• Ensure all AI development adheres to strict governance, compliance, and ethical AI standards.
  

Required Qualifications

• Experience: 6+ 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 modelling, 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: Strong 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.