Skills

Python SQL Risk Management CI/CD DevOps Version Control Architecture Data Architecture Machine Learning PyTorch Deep Learning Programming benchmarking Azure AWS C++ Analytics GCP Snowflake Spark Databricks

Job Specifications

Job Role: Senior Machine learning Engineer/Data scientist

Job Location: NYC

Experience: 10years

Job Description:

Machine Learning Engineering

• Design, develop, and deploy scalable machine learning models using modern frameworks (e.g., PyTorch)

• Re-engineer and optimize legacy models into efficient, production-grade implementations

• Improve model performance, scalability, and reproducibility

• Support model validation, benchmarking, and certification processes

• Ensure full traceability and documentation of model logic and outputs

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Data Platform & Pipeline Engineering

• Design and optimize distributed data pipelines using Spark-based platforms (e.g., Databricks)

• Build and refactor ETL/ELT workflows for performance and scalability

• Implement data models within modern cloud data warehouses (e.g., Snowflake)

• Apply best practices for cloud-native data architecture

• Standardize reusable utilities and frameworks for analytics workflows

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Cloud Migration & Modernization

• Participate in migration of on-prem or legacy analytics platforms to cloud ecosystems

• Refactor existing codebases to align with modern engineering and DevOps standards

• Leverage cloud compute capabilities (including GPU acceleration where applicable)

• Support scheduling and orchestration of data and ML workflows

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Testing, Validation & Governance

• Conduct rigorous testing and validation to ensure data and model accuracy

• Perform parallel runs and benchmarking when modernizing systems

• Collaborate with governance, risk, and compliance stakeholders

• Maintain high standards of documentation and reproducibility

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Required Qualifications

Technical Skills

• Strong programming skills in Python

• Hands-on experience with PyTorch (or similar deep learning frameworks)

• Expertise in Spark-based data processing (Databricks preferred)

• Strong SQL skills

• Experience working with cloud data warehouses such as Snowflake

• Experience building and optimizing ETL/ELT pipelines

• Familiarity with distributed computing and performance tuning

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Cloud & DevOps

• Experience working in cloud environments (AWS, Azure, or GCP)

• Understanding of workflow orchestration tools (e.g., Airflow, native platform schedulers)

• Version control and CI/CD practices for ML pipelines

• Exposure to containerization and scalable deployment patterns

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Preferred Qualifications

• Experience modernizing legacy codebases (C++, R, or similar)

• Experience in regulated industries (Financial Services, Banking, Insurance, etc.)

• GPU optimization experience

• Knowledge of model risk management or model validation frameworks

• Experience supporting large-scale data transformation initiatives

About the Company

iSite Technologies.Inc (Information System on Information Technologies in Education) is a rapidly growing software development and consulting company offering a broad range of software expertise and services with a strong customer focus. iSite is established with a goal to provide cost-effective solutions to client's information management need utilizing highly skilled and experienced professional. iSite specializes in software development and consulting services. iSite clearly understands the client requirements and utili... Know more