Tech Stack
AWSAzureCloudGoogle Cloud PlatformHadoopPythonPyTorchScikit-LearnSparkTensorflow
About the role
- Lead and mentor a team of AI/ML engineers, ensuring best practices in model development and deployment
- Design, develop, and optimize machine learning models for real-world applications
- Collaborate with cross-functional teams to integrate AI/ML solutions into products and services
- Research and implement cutting-edge AI/ML techniques and stay updated with industry trends
- Ensure model performance, scalability, and efficiency through continuous improvements
- Oversee MLOps workflows, model versioning, and automation of AI pipelines
- Troubleshoot and resolve technical challenges related to AI/ML models and deployment
- Drive innovative AI solutions
Requirements
- 3+ years in AI/ML development, with experience in leading projects or teams
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
- Proficiency in Python
- Experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-Learn
- Experience with NLP, computer vision, or deep learning
- Hands-on knowledge of cloud platforms: AWS, GCP, Azure
- Familiarity with big data technologies (Spark, Hadoop) is a plus
- Understanding of MLOps, model deployment, and automation
- Strong leadership and team management skills
- Excellent problem-solving, analytical, communication, and collaboration skills