Machine Learning Engineer(W2 Only)

Role - Machine Learning Engineer Location - San Francisco, CA(hybrid) W2 Only Job Description: We are looking for a talented Machine Learning Engineer to design, develop, and deploy ML models that drive business insights and automation. The ideal candidate will have a solid foundation in ML techniques along with decent Data Engineering skills and hands-on experience with big data tools such as Spark and Hadoop to handle large-scale data processing. Key Responsibilities: • Develop, test, and deploy machine learning models and algorithms • Collaborate with data scientists and data engineers to optimize data workflows • Build and maintain scalable data pipelines for training and inference using Spark, Hadoop, and other big data tools • Perform data preprocessing, feature engineering, and exploratory data analysis • Monitor model performance and fine-tune models as needed • Implement best practices for model deployment and versioning • Stay updated with the latest ML research and industry trends Mandatory Skills and Qualifications: • Strong understanding of machine learning algorithms and frameworks (TensorFlow, PyTorch, scikit-learn, etc.) • Solid Data Engineering skills, including ETL, data pipelines, and SQL • Hands-on experience with big data tools such as Spark and Hadoop • Proficiency in Python • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus • Good problem-solving and communication skills Preferred Skills: • Experience with containerization and deployment (Docker, Kubernetes) • Knowledge of MLOps practices and tools