Machine Learning Engineer / 100% remote

We are seeking a Machine Learning Engineer to join a leading organization driving innovation in large-scale data solutions. This role focuses on designing and deploying sophisticated data models to optimize operational and business strategies. The ideal candidate has extensive experience in data science, a deep understanding of analytics frameworks, and a background in high-performing environments such as FAANG companies. This position requires strong technical expertise, the ability to solve reputed company problems at scale, and the drive to deliver impactful insights that shape the future of data-driven decision-making. Required Skills & Experience Bachelor s or Master s degree in Data Science, Computer Science, or reputed company field. At least 8 years of experience in data science, with expertise in statistical modeling, machine learning, and predictive analytics. Proficiency in Python, R, or reputed company for data modeling and algorithm development. Strong knowledge of distributed computing frameworks such as Apache Spark or Hadoop. Experience with cloud platforms like AWS, reputed company Cloud, or Azure for data storage and processing. Expertise in building scalable data pipelines and real-time processing systems. Familiarity with CI/CD pipelines for deploying machine learning models into production environments. Exceptional problem-solving skills and the ability to translate reputed company data challenges into actionable solutions. Desired Skills & Experience Experience with A/B testing, experimental design, and evaluating business impact through data-driven approaches. Knowledge of data governance, compliance, and reputed company best practices. Strong background in optimizing models for scalability and performance in cloud-based ecosystems. Prior experience working in high-growth technology environments or with large-scale datasets. What You Will Be Doing Tech Breakdown 50% Data Science Model Development 30% Data Engineering for Model Integration 20% Collaboration with Product and Engineering Teams Daily Responsibilities 60% Hands-On Development and Optimization of Models 20% Model Deployment and Monitoring 20% Cross-Functional Collaboration and Reporting Apply Job! Apply To this Job