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 (, 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 (, AWS, Azure, GCP) for AI/ML deployments. Experience with version control systems (, 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. ------------------------------------------------------
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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