Python AI/ML Developer

Position Overview

We are seeking a motivated Junior Python AI/ML Developer to join our dynamic team and contribute to cutting-edge artificial intelligence and machine learning projects. This role offers an excellent opportunity for a recent graduate or early-career professional to grow their expertise in either Computer Vision or Generative AI while working on real-world applications that drive business impact.

Key Responsibilities

Core Development

• Develop, test, and deploy machine learning models using Python and popular ML frameworks
• Write clean, efficient, and well-documented Python code following best practices
• Collaborate with senior developers and data scientists to implement AI/ML solutions

AI/ML Implementation

• Build and train machine learning models for either computer vision or generative AI applications
• Perform data preprocessing, feature engineering, and model evaluation
• Implement model optimization techniques to improve performance and efficiency
• Monitor model performance in production and assist with maintenance

Data Management

• Work with large datasets and implement data pipelines
• Conduct exploratory data analysis to understand patterns and insights
• Ensure data quality and implement data validation processes

Collaboration & Learning

• Participate in agile development processes and team stand-ups
• Document technical processes and maintain project documentation
• Stay current with latest AI/ML trends and technologies
• Contribute to knowledge sharing within the team

Required Technical Skills

Programming & Development

• Python: Strong proficiency with 2+ years of experience
• ML Libraries: Experience with scikit-learn, pandas, numpy, matplotlib/seaborn
• Version Control: Proficiency with Git and collaborative development workflows
• Database: Basic knowledge of SQL and database operations
• APIs: Understanding of FAST APIs and web services

Machine Learning Fundamentals

• Understanding of supervised and unsupervised learning algorithms
• Knowledge of model evaluation metrics and validation techniques
• Experience with data preprocessing and feature engineering
• Basic understanding of statistical concepts and data analysis

Specialized Knowledge (Choose One Track)

Computer Vision Track

• Deep Learning: Experience with TensorFlow or PyTorch
• CV Libraries: Familiarity with OpenCV, PIL/Pillow
• Image Processing: Understanding of image preprocessing and augmentation
• Model Architectures: Basic knowledge of CNNs and popular vision models

Generative AI Track

• NLP Fundamentals: Understanding of text processing and tokenization
• LLM Experience: Basic experience with transformer models and APIs (OpenAI, Hugging Face)
• Text Generation: Knowledge of prompt engineering and fine-tuning concepts
• Vector Databases: Familiarity with embeddings and similarity search

Required Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
• 1-3 years of professional software development experience
• Portfolio of personal or academic AI/ML projects demonstrating practical application

Technical Competencies

• Demonstrated ability to implement machine learning algorithms from scratch
• Experience with at least one end-to-end ML project (from data collection to deployment)
• Understanding of software engineering principles and clean code practices

Preferred Qualifications

Advanced Skills

• Master's degree in AI/ML, Computer Science, or related field
• Experience with MLOps tools and model deployment
• Familiarity with model optimization and quantization techniques

Domain Expertise

• Previous internship or project experience in computer vision or NLP
• Publications or contributions to open-source ML projects
• Experience with A/B testing and experimentation frameworks

Soft Skills & Personal Attributes

Professional Skills

• Problem-Solving: Strong analytical thinking and debugging skills
• Communication: Ability to explain technical concepts to non-technical stakeholders
• Collaboration: Experience working in cross-functional teams
• Adaptability: Eagerness to learn new technologies and adapt to changing requirements

Personal Qualities

• Passion for artificial intelligence and emerging technologies
• Detail-oriented with strong attention to code quality and testing
• Self-motivated with ability to work independently
• Curiosity and commitment to continuous learning