Senior Software Engineer - Machine Learning

Janea Systems; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm is seeking a Senior Software Engineer specializing in Machine Learning. This remote position offers the chance to work on cutting-edge projects, collaborating with top talent in a dynamic environment. Ideal candidates will have strong expertise in ML algorithms and cloud technologies to drive innovation and solidify the ML practice at the company.

Benefits

Competitive compensation with benefits

Paid vacation and sick leave

Ultra-flexible working conditions

Generous office equipment allowance

Professional growth opportunities

Qualifications

• 3+ years as a Platform Engineer, ML Engineer, or Data Engineer.
• Familiarity with big data technologies (Hadoop, Spark, Hive) is a plus.
• Any Cloud Certification is a plus.

Responsibilities

• Drive the AI/ML practice at Janea Systems.
• Design scalable data pipelines for enterprise ML systems.
• Collaborate with data scientists and software engineers to deploy ML models.

Skills

Machine learning algorithms

Data pre-processing methods

ML frameworks (PyTorch, TensorFlow, Keras)

Software testing

Leadership

Problem-solving

Data-oriented workflow orchestration

Education

Bachelor's or Master’s degree in Computer Science

Tools

Kubernetes

AWS

MS Azure

GCP

Job description

Senior Software Engineer - Machine Learning

Remote

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 Senior ML Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work on high-profile projects at the cutting edge of the software industry and help build our internal Machine Learning practice.

Location

Remote 100%

Compensation

Work Schedule

Full time/ Flexible working hours

Reports to

Member of

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.
• 3+ years of experience as a Platform Engineer, ML Engineer, or Data Engineer.
• Flexibility in experience with different programming languages and willingness to adjust to project needs.
• Strong 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).
• Experience with open source ML tools and ability to translate business needs into technical requirements.
• Understanding of software testing, benchmarking, and continuous integration.
• Excellent leadership, communication, and problem-solving skills , with the ability to break down complex challenges and develop innovative solutions.
• Self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environments.

Ideal candidates will also have:

• Familiarity with big data technologies, such as Hadoop, Spark, or Hive is a plus.
• Any associate Cloud Certification is a plus.

Responsibilities:

• Drive the AI/ML practice at Janea Systems and develop strategies with clients.
• Design scalable data pipelines and infrastructure for enterprise ML systems.
• Implement offline models into production by developing real ML systems.
• Collaborate with data scientists and software engineers to operationalize and deploy machine learning models in production environments.
• Deploy scalable tools and services for machine learning training and inference.
• Evaluate new technologies to improve ML system performance and reliability.
• Apply software engineering best practices, including CI/CD, to ML development.
• Facilitate the development and deployment of ML proof-of-concepts.
• Review, refactor, optimize, containerize, deploy, version, and monitor data science models.
• Implement monitoring and alerting solutions to ensure the reliability and performance of machine learning systems.
• Optimize and automate the machine learning deployment process to ensure efficiency and reproducibility.
• Collaborate with cross-functional teams to troubleshoot and resolve issues related to machine learning deployments.
• Stay updated with industry trends and apply knowledge to drive innovation.
• Promote industry best practices and enhance team expertise.
  

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.

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