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Janeasystems
Janeasystems

Senior Software Engineer - Machine Learning

engineeringfull-timeRemote
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Senior Machine Learning Engineer

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 urgently looking for an exceptionally talented Senior Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work at the cutting edge of the software industry and help work on the client's internal AI/ML practice, as well as utilize your LLM, Data Engineering, ML, and ML Ops skills while working with a team of highly skilled professionals in the AI/ML domain.

Location

Remote 100%

Compensation

Salary

Work Schedule

Full time / Flexible working hours

Reports to

Team Lead

Member of

Engineering Team

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

  • Bachelor's or Master’s degree in Computer Science or a related field
  • 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer
  • Flexibility in experience with different programming languages and willingness to adjust to project needs
  • Strong knowledge of Python
  • Knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (such as PyTorch, TensorFlow, Keras)
  • Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP)
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo)
  • Understanding of software testing, benchmarking, and continuous integration principles
  • Ability to translate business needs into technical requirements
  • Excellent communication and problem-solving skills, with the ability to break down complex challenges and develop innovative solutions
  • Being self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environment
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