AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
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What you will doDevelop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools;Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase;Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility;Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind;Optimize machine learning models for performance and scalability;Integrate machine learning models into production systems using frameworks like SageMaker;Stay up-to-date with the latest advancements in machine learning and MLOps;Assist in improving our data management, model tracking, and experimentation solutions;Contribute to enhancing our code quality, repository structure, and model versioning;Help identify and implement the best practices for ML services deployment and monitoring;Collaborate on establishing CI/CD pipelines and promoting deployments across environments;Address technical debt items and refactor code as needed.Must haves3+ years of experience in machine learning engineering or a related role;Strong proficiency in Python programming;Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn;Familiarity with cloud platforms like AWS, including services like SageMaker, S3, and Secrets Manager;Experience with data processing, cleaning, and feature engineering for structured and unstructured data;Knowledge of software development best practices, including version control (Git), testing, and documentation;Excellent problem-solving and debugging skills;Strong communication and collaboration abilities;Ability to work independently and take ownership of projects;Upper-intermediate English level.Nice to havesExperience with Infrastructure as Code (IaC) tools, preferably Pulumi or Terraform;Experience with classification models and libraries such as XGBoost, SentenceTransformers, or LLMs;Knowledge of data versioning, experiment tracking, and model registry concepts;Familiarity with data pipeline and ETL tools like Dagster, Snowflake, and DBT;Experience with monitoring logs, metrics, and performance testing for batch inference workloads;Contributions to open-source machine learning projects;Experience with deploying and monitoring machine learning models in production.The benefits of joining usProfessional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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