AI and ML Architect

Requirements:

• Experience with data processing libraries like Pandas, NumPy, and Scikit-learn.
• Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc.
• Proficiency in API development with Fast API, Spring boot, Understanding of O&M - logging, monitoring, fault management, security etc.

Job Description:

Architect and implement end-to-end machine learning pipelines, from data ingestion to model deployment.
Collaborate with cross-functional teams to identify AI/ML opportunities and define solution strategies.
Design and optimise models for predictive analytics, natural language processing, computer vision, or recommendation systems.
Ensure scalability, performance, and reliability of ML systems in production environments.
Conduct exploratory data analysis and feature engineering to improve model accuracy.

Skills Required:

• Experience with cloud platforms (AWS -Sagemaker/ Bedrock, GCP, or Azure)
• Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks (training and deployment).