Software Engineer Data Science Portfolio

Nmk Global Inc.

New York, NY, United States

3 months ago

Apply on dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Unit Testing Microsoft Azure Cloud Computing Cloud Engineering Code Review Continuous Integration Information Engineering Data Structures DevOps Distributed Systems

+24 more

Integer Programming Python (Programming Language) Machine Learning NoSQL Object-Oriented Software Development Queueing Systems Software Construction Software Engineering Software Systems ReactJS Flask (Web Framework) Backend Fastapi AngularJS Integration Tests Kubernetes Optimization Algorithms Cosmos DB Machine Learning Operations Front End Software Development Restful APIs Stream Processing Docker Databricks

Job description

We are seeking a Software Engineer to join the Data Science Portfolio team. This role is focused on building and supporting production-grade software systems that enable data science and machine learning solutions. The ideal candidate will have strong backend engineering experience, proficiency in Python, and a solid understanding of software engineering best practices, cloud technologies, and distributed systems., * Design, develop, and maintain scalable backend applications and services.

Build APIs and production systems supporting data science and machine learning workloads.
Collaborate closely with Data Scientists, Operations Research Engineers, Product Managers, and cross-functional teams.
Own features end-to-end, from development through deployment and production support.
Implement software engineering best practices, including code reviews, testing, and CI/CD processes.
Troubleshoot production issues and provide operational support.
Contribute to cloud-native and distributed system architectures.

Requirements

Python (Required)
Core Java (Preferred)

Backend Development

REST API Development
FastAPI / Flask
Object-Oriented Programming (OOP)
Strong class and object design principles

Data Engineering

NoSQL Databases (Cosmos DB preferred)
Databricks
Real-Time Data Streaming
Message Queues
Stream and Stateful Processing

MLOps / DevOps

Docker
Kubernetes
CI/CD Pipelines
Multi-environment Deployments

Cloud Technologies

Microsoft Azure (Required)
Experience with other cloud platforms is a plus

Software Engineering Fundamentals

Git/GitHub Workflows
Unit Testing
Integration Testing
Data Structures & Algorithms
Code Reviews

Front-End (Nice to Have)

React
Angular, * Experience supporting Machine Learning, Data Science, or Operations Research applications.
Exposure to optimization techniques and Mixed Integer Programming (MIP).
Understanding of machine learning concepts and model deployment.
Experience with distributed systems and cloud-native architectures.
Strong analytical and problem-solving skills.