AI/ML Engineer
1 week ago
Primary skills needed - AI & ML Ops
Secondary - Infra Ops
Tertiary - AWS/Azure
Experience and Skills
Experience: 7+ years in data engineering, 3+ years as an MLOps engineer.
MLOps Pipelines: Design, develop, and implement using tools like MLflow and Apache Airflow.
Cloud Experience: Working experience with AWS and Databricks.
Technical Proficiency: Strong in Python, PySpark, SQL, machine learning, NLP, deep learning, and AWS services (SageMaker, BedRock, EC2, Lambda, S3, Glue Tables).
Configuration Management: Experience with Ansible, Terraform, and building CI/CD pipelines.
Responsibilities
Automate ML Lifecycle: From data ingestion to deployment and monitoring.
Collaborate with Data Scientists: Understand data science lifecycle, translate needs into production-ready solutions.
Model Deployment and Monitoring: Strong in ML model deployment, AI ML pipeline, and model monitoring.
Communication: Excellent written and verbal communication skills.
Desired Qualities
Analytical Mindset: Ability to interpret data and metrics.
Collaboration: Technical proficiency and ability to work with technical teams.
ML Techniques: Familiarity with algorithms like RNN, CNN, GNN, GAN.
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