We are seeking a highly motivated and experienced AI/ML Engineer to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive our services forward.
This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications.

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in AI/ML engineering or a similar role.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred:

• Experience with distributed computing frameworks (e.g., Spark, Hadoop).
• Knowledge of deep learning architectures and techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Contributions to open-source AI/ML projects.

• Design, develop, and deploy machine learning models and algorithms.
• Work with large datasets to extract insights and build robust data pipelines.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Optimize and fine-tune machine learning models for performance and scalability.
• Conduct research and stay up-to-date with the latest advancements in AI/ML.
• Participate in code reviews and contribute to maintaining high code quality.
• Troubleshoot and debug AI/ML systems and applications