AI/ML Engineer
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Role Summary
We are hiring an AI/ML Engineer with 4-6 years of hands-on experience in building and deploying AI/ML solutions. The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI systems.
Experience Required: 4-6 Years
Employment Type: Full Time
Preferred Skills: AI/ML, GenAI, MLOps, Azure
Key Responsibilities
• Develop and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and maintain end-to-end ML pipelines from training to production deployment.
• Implement monitoring, observability, and performance tracking for AI systems.
• Work with APIs, vector databases, embeddings, and RAG-based applications.
• Collaborate with cross-functional teams to optimize scalable AI deployments.
Required Skills & Qualifications
• Hands-on experience in Machine Learning, Deep Learning, and Generative AI.
• Strong Python, SQL, API development, and ML framework knowledge.
• Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and MLflow.
• Understanding of observability, monitoring, logging, and model drift detection.
• Experience with Azure Cloud Stack is a plus.
Job ID: 152086031
Skills:
graph databases , Microsoft Azure, Python, LangChain, LangGraph, Generative AI, Agentic AI, knowledge graphs, modern data platforms, pipeline technologies
Skills:
Tensorflow, Python, Machine Learning Algorithms, data preprocessing, R-Studio, feature engineering
Skills:
Machine Learning, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Apache Spark, Sql, Azure ML, Git, Gcp, MLops, Azure, Kubernetes, MLflow, CI CD, Kubeflow, Google Vertex AI, Scikit-learn, AWS SageMaker
Skills:
AI ML, Gcp, Google Cloud
Skills:
Tensorflow, Numpy, Pytorch, Pandas, Sql, Python, Scikit-learn
