Senior Software Engineer - Machine Learning

June 15, 2024

Apply Now

Receive Emails with Similar Jobs

Janea Systems

WebsiteLinkedInAll Job Openings

Janea Systems is a company that specializes in solving complex software engineering challenges for enterprises. Trusted by industry leaders, they have fostered long-term partnerships with global innovators like Microsoft, ARM, and Merck. With a team composed of the top 1% of engineers worldwide, Janea Systems delivers mission-critical software projects that impact millions of developers and billions of consumers daily. Their expertise spans from 'kernel to cloud,' offering solutions that optimize and build technologies used by Fortune 500 companies. With over two decades of experience, Janea Systems stands out as a leader in providing high-impact software development services, staying at the forefront of industry advancements through a culture of collaboration, adaptability, and continuous learning.

11 - 50 employees

🏢 Enterprise

📋 Description

• 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.

🎯 Requirements

• Bachelor's or Master’s degree in Computer Science or a related field. • 3+ years of experience as a Platform Engineer, ML DevOps 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.

🏖️ Benefits

• 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.