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).