Software Engineer

Job Description

University Degree in Computer Science, Information Technology, or related field 7+ years of experience in the Machine Learning Operations role Design the data pipelines and engineering infrastructure to support our BU s enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine learning production system Develop and deploy scalable tools and services for our clients to handle machine learning training and inference Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients machine learning systems Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security Facilitate the development and deployment of proof-of-concept machine learning systems Communicate with clients to build requirements and track progress Strong analytic skills related to working with structured, semi structured and unstructured datasets Docker and Kubernetes Experience in using popular MLOps frameworks like Kubeflow, MLFlow, and DataRobot Ability to build MLOps pipelines Strong Python programming knowledge FAST API, Flask, Python code optimization Kubeflow, Airflow, ML Flow, Jenkins Poetry for package management Black, ruff, isort, flake8 for code cleanup Github Actions Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation Ability to design and implement cloud solutions - Azure Awareness of Agile / Scrum ways of working Identify the right modeling approach(es) for given scenario and articulate why the approach fits Assess data availability and modeling feasibility Review interpretation of models results Experience in Logistic industry domain would be added advantage You should have: Certifications in some of the core technologies Ability to collaborate across different teams / geographies / stakeholders / levels of seniority Customer focus with an eye on continuous improvement. Energetic, enthusiastic and results-oriented personality Ability to coach other team members, you must be a team player! Strong will to overcome the complexities involved in developing and supporting data pipelines