Xperteez Technology Logo

Xperteez Technology

🌍 Machine Learning Engineer, Remote - Contract

Reposted 4 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Develop and refine machine learning models using Python, analyze datasets with MongoDB, and integrate preprocessing and data pipelines. Evaluate models, tune hyperparameters, benchmark performance, document experiments, and deliver data-driven recommendations. Collaborate remotely with cross-functional contributors to improve and operationalize machine learning solutions in cloud or enterprise environments.
The summary above was generated by AI

Role Title: Machine Learning Engineer

Role Type: Contractor

Location: Remote

Required Skills:

  • Python

  • Machine Learning

  • MongoDB

Scope of Work:

  • Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.

  • Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.

  • Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions.

  • Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.

  • Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.

  • Integrate data pipelines and preprocessing workflows to streamline training and inference processes.

  • Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.

Preferred Qualifications:

  • Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.

  • Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.

  • Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings.

  • Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.

  • Background in deploying or operationalizing machine learning models in cloud or enterprise environments.

  • Clear written documentation and communication skills for sharing technical findings and best practices.

  • Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.

Similar Jobs

2 Months Ago
Remote
USA
130K-200K Annually
Mid level
130K-200K Annually
Mid level
Artificial Intelligence • Analytics • Consulting • Cybersecurity
The Machine Learning Engineer will design, build, evaluate, and deploy ML systems, collaborating on projects in safety, security, and intelligence applications, while owning projects from initial research through to production.
Top Skills: AWSAzureCi/CdDockerGoogle Cloud PlatformKubernetesMlflowPythonPyTorchTensorFlow
2 Months Ago
In-Office or Remote
IN, USA
Senior level
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Business Intelligence • Automation • Manufacturing
As a Senior Machine Learning Engineer (Tech Lead), you'll lead the ML technical direction, design architectures for loco-manipulation, mentor team members, and manage cross-functional partnerships while writing production-quality code.
Top Skills: C++Python
2 Months Ago
Remote
United States
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.
Top Skills: JaxPythonPyTorch

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account