MLOps

Senior Python AI Engineer (15+ Years Experience) Location: Atlanta, GA Client: OpenKyber Employment Type: Contract Job Description OpenKyber is seeking a highly experienced Senior Python AI Engineer with deep expertise in building scalable AI/ML solutions. The ideal candidate will have over 15 years of experience in software development, with strong hands-on experience in Python and modern AI frameworks. This role involves designing, developing, and deploying advanced AI-driven applications within a high-performance financial environment. Key Responsibilities: - Design and develop scalable AI/ML solutions using Python - Build and optimize machine learning and deep learning models - Work with large-scale structured and unstructured datasets - Develop APIs and microservices for AI-based applications - Collaborate with cross-functional teams including data engineers, quants, and business stakeholders - Implement best practices for model deployment, monitoring, and performance tuning - Ensure code quality, security, and compliance with enterprise standards - Mentor junior developers and provide technical leadership Required Skills: - 15+ years of experience in software development - Strong expertise in Python and AI/ML development - Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn - Experience with NLP, LLMs, or Generative AI - Strong knowledge of data structures, algorithms, and system design - Experience with REST APIs and microservices architecture - Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) - Experience with data processing tools like Pandas, NumPy, Spark - Strong problem-solving and analytical skills Preferred Qualifications: - Experience in financial services or investment banking - Knowledge of quantitative modeling or risk systems - Exposure to MLOps tools (Docker, Kubernetes, CI/CD pipelines) - Experience with real-time data processing and streaming technologies For applications and inquiries, contact: hirings@openkyber.com