ML Engineer

Summary

Andersen is hiring a ML Engineer for a project with a customer engagement platform. The role focuses on developing scalable, data-driven solutions that personalize B2B customer journeys, driving adoption, loyalty, and growth.

The customer is a California-based company specializing in AI-driven solutions for customer engagement and revenue growth. Founded in 2018, it combines expertise in lifecycle marketing, customer advocacy, and data-driven insights to help businesses strengthen client relationships, scale go-to-market strategies and achieve sustainable growth.

The project is a customer marketing platform that enables B2B organizations to deliver personalized engagement at scale. It uses customer journey insights to boost product adoption, loyalty, retention, and support cross-sell, upsell, and feedback collection.

Technology stack: Python, Java, Go, TensorFlow, PyTorch, AWS/GCP/Azure, ETL, Data Lakes, REST APIs, MLOps, NLP.

Responsibilities

• Designing, developing, and maintaining scalable backend services that support AI/ML functionalities.
• Collaborating with data scientists to operationalize machine learning models and integrate them into production systems.
• Optimizing data pipelines, storage, and retrieval processes to handle large-scale datasets efficiently.
• Developing API endpoints and microservices for AI-driven features and support real-time/ batch AI processing.
• Writing clean, maintainable, and well-documented code following best practices and standards.
• Monitoring system performance and implementing improvements for reliability and efficiency.
• Staying updated with the latest trends and advancements in AI/ML and backend development.

Requirements

• Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Proven experience as a ML Engineer for 4+ years.
• Experience with AI frameworks and libraries like TensorFlow, PyTorch, scikit-learn, etc.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and deployment tools (Docker, Kubernetes).
• Experience working with large datasets and data pipelines (ETL processes, databases, data lakes).
• Familiarity with RESTful APIs, microservices architecture, and server-side development.
• Knowledge of DevOps practices for CI/CD, monitoring, and system automation.
• Excellent problem-solving skills and ability to work collaboratively in a multidisciplinary team.
• Level of English – Intermediate+ and above.

Desired skills

• Strong proficiency in programming languages such as Python, Java, or Go.
• Experience with NLP, computer vision, or other AI domains.
• Knowledge of MLOps practices for model deployment and lifecycle management.
• Familiarity with data storage solutions like SQL, NoSQL, and data warehouses.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

Join us!