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Job Title:AI/ML Engineer
Experience: 3+ Years
Location: Remote
Employment Type: Full-Time
Job Overview
We are looking for a highly skilled Data Processing and AI Developer with strong expertise in designing and deploying Customer Value Management (CVM) and Recommendation Systems. In this role, you will work directly with the CTO and CEO, leading end-to-end solution development—from product design and coding to model deployment and performance optimization. You will also mentor junior engineers and ensure the delivery of high-quality, production-ready AI systems for clients in the banking and consumer tech sectors.
Key Responsibilities
- Collaborate with business teams to design, build, and optimize CVM and recommendation systems, ensuring measurable impact on financial performance.
- Work with engineering, product, and business stakeholders to convert requirements into scalable, production-grade AI solutions.
- Develop and maintain robust data pipelines, feature engineering processes, and real-time inference systems.
- Ensure high performance, reliability, scalability, and security of AI models in production environments.
- Mentor and guide junior developers and data scientists, promoting strong coding standards and AI/ML best practices.
- Evaluate, experiment with, and integrate emerging AI/ML technologies to improve system performance and competitiveness.
- Align AI development with business strategy, compliance requirements, and regulatory standards in the financial and consumer domains.
- Bachelor's or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or related disciplines.
- 3–5 years of hands-on experience building AI/ML systems, specifically focusing on CVM, personalization, or recommendation engines.
- Strong programming expertise in Python or equivalent languages; proficient with modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Experience building scalable cloud-based AI architectures and real-time data processing pipelines.
- Demonstrated success in deploying ML models to production with monitoring, versioning, and performance optimization.
- Excellent analytical thinking, communication, and cross-functional collaboration skills.
- Understanding of data privacy laws, security standards, and regulatory compliance within financial and consumer tech sectors.
- Knowledge of the Russian language is a plus due to client location requirements.
Key Skills
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