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We are seeking a highly motivated and skilled Junior Developer with a strong foundation in Python programming and a keen interest in Artificial Intelligence and Machine Learning. The ideal candidate will be responsible for developing and deploying AI/ML models, creating prototypes, and leveraging Large Language Models (LLMs) to solve complex business problems. This role offers an excellent opportunity to work on cutting-edge technologies and contribute to innovative projects.
Job Responsibility
Design, develop, and deploy machine learning and AI models, including those for Natural Language Processing (NLP) and Optical Character Recognition (OCR)
Create and iterate on prototypes rapidly to demonstrate the feasibility of AI/ML solutions
Work with various data sources to clean, preprocess, and prepare data for model training
Collaborate with senior developers and data scientists to integrate AI/ML functionalities into existing and new applications
Utilize Large Language Model (LLM) APIs effectively by crafting precise and efficient prompts
Participate in code reviews, ensuring code quality, performance, and adherence to best practices
Write comprehensive unit and integration tests to ensure code quality and reliability
Continuously learn and stay updated with the latest advancements in AI, Machine Learning, and related technologies
Document development processes, model architectures, and deployment procedures
Requirements
Excellent proficiency in Python is mandatory
Solid understanding of core machine learning and artificial intelligence principles, algorithms, and methodologies
Hands-on experience in developing, training, and evaluating ML models
Ability to deploy ML models into production environments
Practical experience with Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques and libraries
Awareness of LLM concepts and experience in interacting with LLM APIs
Strong ability to write clear, concise, and effective prompts for LLM APIs
Awareness of RAG principles and architectures
Ability to write effective unit and integration tests
Awareness of dockerization and experience in creating and using CI/CD pipelines with at least one tool (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions)
Excellent analytical and problem-solving skills
Good verbal and written communication skills
Nice to have
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI/ML deployments
Experience with version control systems (e.g., Git)
Experience with Langchain or Langraph is a plus
Ability to work both independently and as part of a team in a fast-paced environment