AI/ML Engineer

3 weeks ago

Bengaluru, India Evnek Technologies Pvt Ltd Full time

Job Description This is a remote position. 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. Required Qualifications & Skills 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. Requirements AI/ML,TensorFlow, PyTorch, Scikit-learn

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