Note: The job is a remote job and is open to candidates in USA. Janea Systems is a dynamic team of software engineering specialists providing high-impact software development services to Fortune 500 companies. They are seeking a Senior Software Engineer - Machine Learning to work on cutting-edge AI/ML projects, collaborating with a team of professionals to implement scalable ML systems and optimize deployment processes.
Responsibilities
- Design scalable data pipelines and infrastructure for enterprise ML systems
- Implement ML models and systems into production
- Collaborate with data scientists and software engineers
- 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 ML 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
Skills
- 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
- Familiarity with agent frameworks (such as Langchain, Langgraph, IllamaIndex)
- Familiarity with developing RAG systems
- Experience with Natural Language Processing (NLP)
- Familiarity with monitoring tools (such as DataDog or Langfuse)
- Any associate cloud certification (AWS preferred)
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.
Company Overview