Janea Systems Logo

Janea Systems

Lead Machine Learning Engineer

Reposted 19 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.
The summary above was generated by AI

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
We are seeking an exceptionally talented Lead Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients.
You will work at the intersection of machine learning, distributed systems, and production software engineering, helping transform cutting-edge ML research into robust, production-grade solutions. As a Lead ML Engineer, you will guide ML architecture decisions, mentor engineers, and collaborate with cross-functional teams to deliver high-impact AI solutions across multiple industries.

  

Location

Fully Remote/ European Residence required

Compensation

Salary

Work Schedule

Full time/ Flexible working hours

Reports to

Head of Engineering

Member of

Engineering Team


To be considered for this position, you must have the following qualifications: 

  • 8+ years of experience in software engineering, machine learning engineering, or applied AI.
  • 3+ years of experience in technical leadership or mentoring engineering teams.
  • Strong experience developing and deploying machine learning models in production environments.
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience designing scalable ML systems and data pipelines.
  • Strong programming skills in Python and experience with backend or distributed systems.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Experience with containerization and deployment technologies (Docker, Kubernetes).
  • Strong understanding of MLOps practices and model lifecycle management.
  • Excellent problem-solving skills and ability to work independently in remote environments.
  • Strong written and spoken English communication skills.
  • Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

Ideal candidates will also have: 

  • Experience working with LLMs, generative AI systems, or deep learning architectures.
  • Experience building ML platforms or internal AI tooling.
  • Familiarity with distributed training and large-scale data processing frameworks.
  • Experience with feature stores, model monitoring, and ML observability tools.
  • Experience delivering ML solutions in client-facing consulting environments.

Why join Janea? Because world-class talent deserves world-class opportunities. What we offer: 

  • Competitive compensation with benefits, paid vacation, and sick leave.
  • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges. 
  • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary. 
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
  • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done. 

#LI-DNI


Similar Jobs

4 Days Ago
Remote or Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead end-to-end ML projects for automotive manufacturing: design, train, validate, deploy, and monitor models; implement MLOps/CI-CD; perform data engineering, EDA, and model evaluation; ensure data security and regulatory compliance; document and communicate results to stakeholders.
Top Skills: Azure MlKubeflowMlflowNoSQLPythonPyTorchScikit-LearnSQLTensorFlowVertex AiXgboost
6 Days Ago
In-Office or Remote
146K-250K Annually
Senior level
146K-250K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end design, implementation, deployment, and operation of production AI/ML-enabled full-stack applications. Build LLM-powered features, design scalable backend services and data models, deploy on Azure, implement CI/CD and observability, and mentor engineers while ensuring secure, compliant integration into clinical workflows.
Top Skills: Ai Frameworks And ApisAuthentication/AuthorizationAutomated TestingAzure Ai ServicesAzure App ServicesAzure ContainersAzure FunctionsAzure StorageCi/CdContainersLlmsAzureNext.JsNode.jsPostgresReactRestful ApisTypescript
11 Days Ago
In-Office or Remote
153K-191K Annually
Senior level
153K-191K Annually
Senior level
Real Estate
Lead the design and implementation of ML systems, set standards, mentor teams in MLOps practices, and ensure the reliability of production ML models.
Top Skills: Aws SagemakerMlflowPythonTerraformWeights & Biases

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