Senior Python Developer

2 weeks ago

Johannesburg, South Africa Frostbytedigital Full time

Senior Python Developer (Machine Learning / Artificial Intelligence) We are seeking a highly skilled Senior Python Software Engineer – AI / ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI / ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous. Responsibilities Design, develop, and deploy AI / ML systems into production environments. Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency. Own the full AI / ML lifecycle: Data ingestion, preprocessing, and validation; Model training, fine‑tuning, validation, and optimization; Deployment, monitoring, and scaling in production; Continuous evaluation and improvement; Implement scalable and maintainable code aligned with modern development practices (CI / CD, testing, reviews). Develop APIs and microservices to integrate AI / ML solutions into enterprise platforms. Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud‑native AI solutions. Collaborate cross‑functionally to deliver business‑focused AI capabilities. Core Competencies & Requirements AI / ML Expertise: Strong understanding of LLMs (fine‑tuning, embeddings, integration, and deployment). Familiarity with NLP techniques and advanced ML workflows. Software Engineering: Advanced proficiency in Python for AI / ML applications; Skilled in scalable, maintainable code design and architecture. Experience with CI / CD pipelines, automated testing, and modern development best practices. Hands‑on experience with Databricks, Data Foundry, and Apache Spark for large‑scale data processing. Ability to build and maintain ETL / ELT pipelines with strong validation and governance. Knowledge of pipeline orchestration frameworks such as Prefect (or Airflow). MLOps & Frameworks: Practical experience with MLflow for tracking, orchestration, and reproducibility; Strong knowledge of MLOps best practices and deployment strategies. Hands‑on experience with Azure ML services (Data Factory, ML Studio, Synapse). Azure certification will be considered an advantage. Exposure to AWS or GCP is beneficial. Experience with Docker and container orchestration (Kubernetes). API Development & Microservices: Proven ability to design RESTful APIs and microservices; Experience integrating AI models into production workflows. Familiarity with observability best practices (metrics, logging, tracing). Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related field (BSc required). • Honours or Master's degree in a relevant field will be an advantage. • 7+ years of professional software engineering experience, with at least 3+ years focused on AI / ML. • Strong experience with ML frameworks such as TensorFlow, PyTorch, and Scikit‑learn. • Agile methodology experience and strong collaboration skills. Seniority level: Mid‑Senior level Employment type: Contract Job function: Engineering and Information Technology Note: Referrals increase your chances of interviewing at FROSTBYTE by 2x #J- #J-18808-Ljbffr

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