Machine Learning Engineer

About your role

Responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.

May be involved in designing and implementing AI/ML algorithms to embed directly into software products. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. You will also be able to drive multiple ML initiatives by directing algorithm and technology product design.

Qualifications:

• 4+ years of relevant work experience.
• Proficiency with modern scripting languages such as Python.
• Familiarity with effective data engineering practices and big data platforms such as BigQuery, Data Store, etc.
• Competence in modern web application frameworks like Node.js
• Skilled in writing SQL queries against a relational database.
• Knowledge of version control systems (preferably Git)
• Expertise in Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, and AutoML.
• Strong background in Data Analysis and Machine Learning tools and libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch, etc.
• Proficiency in advanced machine learning techniques, including NLP, convolutional neural networks, auto encoders, and embeddings generation and utilization.
• Experience in training machine learning models with extremely large datasets.
• Experience in Front-End technologies and frameworks such as HTML, CSS, JavaScript, ReactJS, D3.
• Familiarity with REST and effective web service design.
• Expertise in production systems design, including High Availability, Disaster Recovery, Performance, Efficiency, and Security.
• Knowledge of cloud computing platforms and associated automation patterns, along with Machine Learning services.
• Skill in defensive coding practices and patterns to ensure high availability.
• Advanced level of English.