Key Responsibilities:
1. AI/ML Model Training and Development
- Work with the development of new AI Models from scratch and fine-tuning existing base models with new 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
2. 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.
3. 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.
4. 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.
5. Python Development:
- Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities.
- Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- Extensive experience (4+ years) in AI/ML development, with a focus on deploying models into production environments.
- Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic.
- Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems.
- Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes.
- Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must
- Worked on pre-processing pipelines ensuring security compliances standards are met
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
- Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices.
