Machine Learning Engineer Id27476

**What you will do**- Develop 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 haves**- **3+ 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 haves**- Experience 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 us**- **Professional 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.**Agile Engine**AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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 :)**Job Types**: Full-time, ContractWork Location: Remote