AI/ML Engineer

About the job

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models for various tasks such as classification, regression, recommendation, NLP, or computer vision. Your key responsibilities will include: - Performing data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for modeling. - Developing and implementing algorithms, neural networks, and AI pipelines using Python, TensorFlow, PyTorch, or similar frameworks. - Deploying ML models into production environments and integrating them with applications using APIs or cloud services. - Collaborating with data engineers, software developers, and business stakeholders to define requirements and deliver AI-driven solutions. - Evaluating model performance using appropriate metrics, tuning hyperparameters, and optimizing models for scalability and efficiency. - Staying updated with emerging AI/ML trends, research papers, and tools. - Documenting models, workflows, and processes for reproducibility and knowledge sharing. In order to excel in this role, you should possess the following skills and qualifications: - 3-7 years of experience in AI/ML, data science, or related roles. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of machine learning algorithms, deep learning, and neural networks. - Experience with NLP, computer vision, recommendation systems, or reinforcement learning. - Hands-on experience with SQL, NoSQL databases, and data manipulation libraries (Pandas, NumPy). - Knowledge of cloud platforms (AWS, Azure, GCP) for model deployment.

Requirements

• Python
• TensorFlow
• PyTorch
• NLP
• computer vision
• recommendation systems
• data manipulation
• SQL
• NoSQL
• cloud platforms

Qualifications

• 3-7 years of experience in AI/ML or related roles
• Proficiency in Python and ML frameworks
• Understanding of machine learning algorithms
• Experience with NLP and computer vision

Preferred Technologies

• Python
• TensorFlow
• PyTorch
• NLP
• computer vision
• recommendation systems
• data manipulation
• SQL
• NoSQL
• cloud platforms