Role Summary
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.
Key Responsibilities
- 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.
Required Skills
- Programming Language: Excellent proficiency in Python is mandatory.
- Machine Learning & AI Concepts: Solid understanding of core machine learning and artificial intelligence principles, algorithms, and methodologies.
- Model Development: Hands-on experience in developing, training, and evaluating ML models.
- Model Deployment: Ability to deploy ML models into production environments.
- Specialized AI: Practical experience with Natural Language Processing (NLP) and Optical Character Recognition (OCR) techniques and libraries.
- Large Language Models (LLMs): Awareness of LLM concepts and experience in interacting with LLM APIs.
- Prompt Engineering: Strong ability to write clear, concise, and effective prompts for LLM APIs.
- RAG (Retrieval-Augmented Generation): Awareness of RAG principles and architectures.
- Testing: Ability to write effective unit and integration tests.
- DevOps Fundamentals: 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).
- Problem-Solving: Excellent analytical and problem-solving skills.
- Communication: Good verbal and written communication skills.
Preferred Qualifications
- 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.
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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