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.