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Jr Python AI/ML Developer

Experience : 1-3 Years | Vacancies : 02 | Job Location : Pune | Work Mode : Work from Office (WFO)

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 6 months or 1+ 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
Professional Skills
  • 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