Key Responsibilities:
AI/ML Model Training and Development
Work with the development of current AI Models from scratch and fine-tuning existing base models with recent data
Implement and execute model evaluation experiments to test and pick the best model for a certain task
Build high throughput and automated data pipelines to allow Data analysis and model training
Pick the right set of evaluation metric to test model candidates for deployment
Use MLOps principles to allow continuous model tuning and performance improvements
AI/ML Model Deployment:
Deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance.
Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness.
Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes.
Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines.




Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms.
Technology Expertise:
Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic.
Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects.
Architecture and Design:
Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems.
Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment.
Python Development:
Utilize Python programming for AI/ML model development, automation scripts, and deve

📌 Senior Software Engineer Ahmedabad (India)
🏢 Crest Data
📍 India