Hso Gs
4 days ago
Key Responsibilities:
You will be responsible for initiating, developing and deployment of data science and AIML solutions in an agile fashion to meet demand across many businesses.
You will provide technical consultancy and advisory, perform feasibility assessments, PoCs and advocate best practices and standards for the Data Science solutions.
To define capabilities, design and deploy Microsoft AIML solutions using Azure Machine Learning solutions, Azure Cognitive Services, Azure DevOps and overall Azure Cloud Solutions that enables AI solutions.
**Requirements**:
Technical Experience:
- Total 5-7 yrs of engineering experience with bachelor’s or master’s degree in any of the following: Engineering, statistics, machine learning
- Desired Skills and Experience Knowledgeable in Computer Vision, Deep Learning, NLP and reinforcement learning
- Proficiency with data analysis tools (e.g., SQL, R or Python)
- High level understanding of database concepts/reporting & Data Science concepts
- Experience with Machine learning frameworks, libraries and agile environments
- Experience with Docker, Jenkins, Kubernetes, and other DevOps tools with good Programming skills (at least one of Python/Spark/R) is a must
- Experience with version control tools such as Git, Bitbucket etc.
- Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. is a plus
Certifications:
- Azure Certified DP100: Designing and Implementing a Data Science Solution on Azure
- Exam AI-900: Microsoft Azure AI Fundamentals with Azure Architecture understanding is a plus
- Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
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