Machine Learning Engineer - Recommendation Systems | $ 60K-70K

Role Overview: Seeking a Data Scientist to operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI . Build and deploy intelligent systems for personalized user experiences and next-gen autonomous AI workflows. Key Responsibilities: Design, develop, and maintain large-scale recommendation systems using ML, deep learning, ranking algorithms, and statistical modeling. Operate ML models on high-volume, diverse datasets for personalization and scalability. Collaborate with cross-functional teams to integrate ML-based solutions into existing product lines. Develop and maintain technical documentation for ML-based projects. Stay up-to-date with the latest advancements in machine learning, recommendation systems, and AI to continuously improve and refine ML-based solutions. Key Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or related field. 3+ years of experience in machine learning, data science, or a related field. Strong understanding of classical machine learning algorithms, deep learning frameworks, and statistical modeling techniques. Experience with large-scale recommendation systems, ranking algorithms, and personalization techniques. Proficiency in programming languages such as Python, R, or Julia. Familiarity with cloud-based platforms like AWS, Google Cloud, or Azure. Certification in machine learning, data science, or AI is a plus. Benefits: Competitive salary range of $ 60K-70K. Comprehensive health insurance package. Generous paid time off and holidays. Professional development opportunities through training, mentorship, and conference attendance. Collaborative and dynamic work environment.