onsite
AI-ML/Python Engineer
AI-ML/Python Engineer
Valere is seeking an AI/ML Developer to manage data interchange and develop server-side logic, ensuring high performance and responsiveness. The role involves designing, training, and deploying machine learning models, as well as collaborating with cross-functional teams to deliver AI/ML solutions.
About the role
About the Role
We are looking for an AI/ML Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.
Responsibilities
- Develop and implement cutting-edge AI/ML models and algorithms to solve complex business problems.
- Conduct data analysis and preprocessing tasks, including data cleaning, feature engineering, and data visualization.
- Design and train machine learning models using state-of-the-art techniques and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to understand project requirements and deliver solutions.
- Evaluate and validate models using appropriate evaluation metrics, ensuring accuracy, precision, recall, and other relevant performance measures.
- Deploy ML models into production systems, considering scalability, performance, and real-time requirements.
- Monitor model performance in production and optimize models for improved accuracy, efficiency, and reliability.
- Stay updated with the latest advancements and research in the field of AI/ML, and apply them to enhance existing models or develop new approaches.
- Participate in code reviews, documentation, and version control practices to ensure maintainability and reproducibility of ML projects.
- Communicate and present findings, insights, and results to both technical and non-technical stakeholders in a clear and concise manner.
- Continuously learn and explore new algorithms, techniques, and tools to improve the organization's AI/ML capabilities.
Requirements
- Shall have concrete understanding of Deep Learning.
- Working knowledge of transformers, OCR, Large Language Models.
- Shall have working knowledge of GPT, BERT. Should have completed at least 2 projects in the Generative AI domain.
- Knowledge of MLOps.
- Experience: 3-6 years.
Perks and Benefits
- 5 days working culture
- Flexible working hours
- No bar for deserving candidates