I
ICRA Analytics Ltd
Machine Learning & Data Science Engineer
Skills
Google Cloud PlatformSQL QueriesData EngineeringPythonData SciencePyTorchTensorFlowRMachine LearningAIAWSNLP / Natural Language ProcessingApache AirflowCompliance
1 year ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
- End-to-End Model Development
- Design, train, and deploy machine learning models (supervised/unsupervised learning, NLP, time-series forecasting) using Python (scikit-learn, TensorFlow, PyTorch) and R for specialized statistical analysis.
- Optimize models for computational efficiency via parallelization, quantization, and cloud-native architectures (AWS SageMaker, GCP Vertex AI).
- Data Engineering & Pipeline Automation
- Build robust ETL/ELT pipelines for structured/unstructured data using SQL, Spark, and Apache Airflow.
- Implement feature engineering workflows and ensure data quality for large-scale datasets (1M+ records).
- Cross-Functional Collaboration
- Partner with product, risk, and engineering teams to operationalize models into business applications (e.g., credit risk systems, customer segmentation tools).
- Mentor junior engineers and lead code reviews to maintain best practices in MLops workflows.
- Model Governance & Compliance
- Develop monitoring frameworks for model drift, bias detection, and performance degradation.
- Ensure compliance with regulatory standards and internal governance policies.
- Innovation & Research
- Stay ahead of industry trends (e.g., LLMs, generative AI) and prototype solutions using no-code platforms.
- Publish internal white papers on novel methodologies and present findings to stakeholders.
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