AI/ML Engineer

Job Title: AI/ML Engineer Job Type: Contractor Location: Remote Job Summary: Join our customer's team as an AI/ML Engineer, where you will leverage your expertise in machine learning, Python, and ETL to drive impactful data solutions. This expert-level remote position offers the opportunity to collaborate with a talented group of professionals and make a significant impact by building robust, scalable AI systems. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business challenges. Collaborate with cross-functional teams to understand requirements, define data pipelines, and deliver high-impact AI solutions. Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management. Utilize Python and relevant libraries to develop clean, efficient, and reusable code for AI and machine learning applications. Continuously monitor, evaluate, and improve the performance and accuracy of deployed models. Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders. Document processes, methodologies, and model decisions to ensure transparency and reproducibility. Required Skills and Qualifications: Expert-level proficiency in machine learning techniques and algorithms. Advanced programming skills in Python and its data science ecosystem (NumPy, pandas, scikit-learn, etc.). Hands-on experience designing and managing ETL workflows in production environments. Strong understanding of data preprocessing, feature engineering, and model evaluation metrics. Excellent written and verbal communication skills; ability to convey complex ideas succinctly. Proven ability to collaborate and thrive in remote, distributed team settings. Track record of delivering robust, scalable machine learning solutions in real-world contexts. Preferred Qualifications: Experience working with cloud platforms for AI/ML such as AWS, GCP, or Azure. Background in deploying models in production environments (e.g., using Docker, Kubernetes, or MLflow). Advanced degree in Computer Science, Data Science, or a related field.