Python Developer (Machine Learning_ Devops_AI)

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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