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Job Description: AI Engineer

Position Title: AI Engineer
Location: Bangalore (On-site/Remote/Hybrid)
Employment Type: Full-time


About the Role

We are seeking a highly skilled and innovative AI Engineer to join our WSpaces AI Labs Private Limited team. The ideal candidate will design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions to address complex real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to build scalable AI models and systems.


Key Responsibilities

  • Model Development: Design, build, and optimize machine learning and deep learning models.
  • Data Processing: Collect, clean, and preprocess data to prepare it for analysis and modeling.
  • Deployment & Integration: Implement AI/ML models into production environments using cloud or on-premise infrastructure.
  • Algorithm Innovation: Research and develop custom algorithms for specific use cases, ensuring performance and accuracy.
  • Collaboration: Work closely with cross-functional teams, including product managers, software developers, and data scientists, to integrate AI solutions into products and services.
  • Performance Monitoring: Continuously monitor and improve the performance of deployed models.
  • Documentation: Maintain comprehensive documentation for AI systems, processes, and experiments.

Required Skills & Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. PhD is a plus.
  • Experience: 2+ years of experience in AI/ML development.
  • Programming Languages: Proficiency in Python, R, or similar languages.
  • Frameworks & Tools: Experience with TensorFlow, PyTorch, Scikit-learn, Keras, or similar.
  • Cloud Platforms: Familiarity with AWS, Google Cloud Platform, or Microsoft Azure.
  • Database Knowledge: SQL and NoSQL databases (e.g., MySQL, MongoDB).
  • Problem Solving: Strong analytical and problem-solving skills with a focus on delivering value.
  • Version Control: Familiarity with Git/GitHub or similar tools.
  • Soft Skills: Excellent communication and teamwork skills. Ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Experience with natural language processing (NLP) or computer vision.
  • Knowledge of MLOps and model lifecycle management.
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Understanding of Reinforcement Learning and Generative AI models.

Why Join Us?

  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.