Description

You will design, develop, and deploy machine learning models across applications including predictive modeling, natural language processing, and computer vision.

Responsibilities

• Design and deploy machine learning models for production environments, ensuring scalability and performance.
• Perform data cleaning, preprocessing, and feature engineering on large datasets.
• Monitor and maintain deployed models to address model drift and performance degradation.
• Integrate AI/ML solutions into products by working with software engineers and product managers.
• Document models, processes, and systems to ensure reproducibility and knowledge transfer.

Required Skills

• 5+ years of experience in AI/ML engineering or a related field.
• Proficiency in Python and/or R.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
• Strong knowledge of SQL and NoSQL databases.
• Experience with big data tools such as Hadoop or Spark.
• Experience developing and integrating RESTful APIs for model deployment.
• Solid understanding of supervised, unsupervised, and reinforcement learning.
• Experience with neural networks, including CNNs, RNNs, and LSTMs.
• Proficiency with Git or other version control systems.

Preferred Skills

• Experience with MLOps practices and tools.
• Experience with containerization technologies like Docker and Kubernetes.
• Published research in the field of AI/ML.

Key Skills

Education

Any Graduate