AI/ML Engineer

Role Overview

We are looking for a passionate and skilled AI/ML Engineer with 2–4 years of experience to design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data analysis, model development, and real-world AI implementation across various domains. You will work closely with product, engineering, and data teams to build intelligent systems that drive automation, prediction, and decision-making.

Responsibilities

• Design, develop, and deploy machine learning models for real-world applications
• Build and optimize deep learning models for structured and unstructured data
• Develop data pipelines for data collection, preprocessing, and transformation
• Implement model training, evaluation, and performance tuning
• Deploy ML models into production environments
• Work on NLP, Computer Vision, or Predictive Analytics projects
• Monitor model performance and retrain models as required
• Collaborate with backend and frontend teams for AI integration
• Maintain documentation and ensure reproducibility of models

Requirements

• 2–4 years of experience in AI/ML roles
• Strong proficiency in Python
• Experience with NumPy, Pandas, and Scikit-learn
• Experience with TensorFlow, PyTorch, or Keras
• Knowledge of OpenCV, NLTK, SpaCy, or Transformers
• Experience with SQL or PostgreSQL
• Experience deploying models using Docker
• Understanding of cloud platforms like AWS, Azure, or GCP

Skills

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Docker

Nice to Have

• Experience with Generative AI / LLM integration
• Knowledge of vector databases like Pinecone or FAISS
• Experience with Redis or caching systems
• Experience with large datasets and distributed computing

Benefits

• Competitive compensation package
• Opportunity to work on cutting-edge AI technologies
• Collaborative and innovation-driven environment
• Career growth and learning opportunities