Job Details
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).
