AI / Machine Learning Engineer

We are seeking a highly skilled AI / Machine Learning / Data Engineer to design, build, and deploy intelligent systems that power data-driven decision-making and automation. The ideal candidate has strong experience in machine learning models, data pipelines, and production-grade AI systems. Key Responsibilities - Design, develop, and deploy machine learning models for real-world applications - Build and maintain scalable data pipelines for structured and unstructured data - Collaborate with product, engineering, and business teams to define AI-driven solutions - Train, evaluate, and optimize models using appropriate metrics and validation techniques - Implement and maintain MLOps practices for model deployment, monitoring, and retraining - Work with large datasets using distributed computing frameworks - Integrate models into production systems via APIs and services - Ensure data quality, governance, and compliance standards are met - Continuously research and apply new AI/ML techniques and tools Required Skills & Qualifications - Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) - Experience with data processing tools (SQL, Pandas, Spark, etc.) - Solid understanding of machine learning concepts (supervised, unsupervised, deep learning) - Experience building and deploying models in production environments - Familiarity with cloud platforms (AWS, Azure, or GCP) - Knowledge of APIs, microservices, and backend integration - Understanding of data structures, algorithms, and software engineering principles - Experience with version control systems (e.g., Git) Preferred Qualifications - Experience with LLMs (Large Language Models) and prompt engineering - Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) - Familiarity with containerization (Docker, Kubernetes) - Experience with real-time data processing systems - Background in statistics, mathematics, or related technical fields - Prior experience in AI product development or startup environments Nice-to-Have - Experience working with recommendation systems, NLP, or computer vision - Knowledge of feature engineering at scale - Experience optimizing models for latency and performance - Exposure to distributed systems architecture Soft Skills - Strong problem-solving and analytical thinking - Ability to work independently and in cross-functional teams - Clear communication of technical concepts to non-technical stakeholders - Ownership mindset and attention to detail - Adaptability in fast-paced environments Pay: Up to $140,000.00 per year Benefits: - Flexible schedule Work Location: Hybrid remote in Chicago, IL 60617