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AI/ML Engineer - Srivango Technologies
ML Engineer
AI/ML Engineer focused on designing, training, and deploying advanced ML/DL models using Python, Docker, and Kubernetes, while building robust data pipelines and ensuring model performance and ethical compliance.
About the role
Key Responsibilities
- Design, train, and optimize machine learning and deep learning models for classification, NLP, and computer vision tasks.
- Build and maintain end‑to‑end data pipelines, ensuring high data quality for structured and unstructured sources.
- Deploy models into production environments using Docker, Kubernetes, and CI/CD pipelines, managing scalability and reliability.
- Monitor model performance, track accuracy, drift, latency, and scalability, and implement corrective actions.
- Collaborate with data scientists, product managers, and software engineers to integrate AI solutions into products.
- Conduct A/B testing and experiments to validate model improvements and business impact.
- Apply responsible AI practices, ensuring compliance with ethical guidelines and regulatory standards.
Requirements
- Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Hands‑on experience with Docker, Kubernetes, and CI/CD tools for model deployment.
- Strong background in data engineering, including ETL pipelines and data quality assurance.
- Knowledge of NLP and computer vision techniques and relevant frameworks.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningdeep learningdockerkubernetescicd