Senior Software Engineer - Machine Learning

Janea Systems is a dynamic team of the best & brightest software engineering specialists and solutions innovators. They are seeking a Senior Software Engineer specialized in Machine Learning to join their consulting team, where the role involves designing scalable data pipelines and implementing ML models into production.

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

Requirements:

• 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)