The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives.
Requirements
- 3–5 years of hands-on experience in machine learning model development and deployment.
- Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
- Strong knowledge of Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch), Model evaluation, hyperparameter tuning, and pipeline automation, REST APIs for model serving and integration
- Familiarity with MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes), Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform), NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
- Strong analytical and problem-solving abilities, Excellent communication skills, both verbal and written, Ability to work independently and within cross-functional teams, Curiosity, adaptability, and willingness to learn continuously
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
