Data Scientist
Required Skills & Qualifications
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Degree in Computer Science, Data Science, Statistics, or related field
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8+ years of experience in data science and machine learning
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Strong proficiency in Python (NumPy, Pandas, Scikit-learn,
TensorFlow/PyTorch)
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Expertise in statistical modelling, machine learning, and deep learning
techniques
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Experience in designing scalable data and ML architectures
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Strong understanding of data structures, algorithms, and software
engineering principles
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Experience with SQL and big data technologies (Spark, Hadoop)
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Hands-on experience with REST APIs and microservices-based deployment
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Hands-on experience with ML Pipeline & Model Life Cycle Management &
Promotion
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Broad and deep understanding of:
- ML/DL techniques + when to use what
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Trade-offs (accuracy vs latency vs cost)
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Should have deep understanding of cost implications and should be able to
suggest ways to improve.
Preferred (Azure-Focused) Skills
Hands-on experience with Microsoft Azure ecosystem, including:
- Azure Machine Learning
- Azure Data Services
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Experience in deploying ML models using Azure ML pipelines and endpoints
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Familiarity with Azure DevOps for CI/CD and MLOps workflows
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Knowledge of cloud architecture patterns and cost optimization on Azure
Work Hours
Shift Timing:
11 AM to 8 PM
Candidate has to be flexible and may require overlap with EST time-zone as per
project need.