Machine Learning Engineer - Vice President

Machine Learning Engineer – Vice President

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Atleast 5 years of demonstrated experience in applied AI/ML engineering.
Strong programming skills in Python, with experience in developing and maintaining production-level code.
Experience with designing and implementing graph databases, such as Amazon Neptune, TigerGraph.
Proficiency in working with large datasets and data preprocessing.
Solid understanding of AI/ML algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
Experience in creating infrastructure graph data models
Experience with cloud platforms, such as AWS or Azure, for deploying and scaling AI/ML models.
Experience with ETL tools such as Airflow, and Jenkins.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Knowledge of infrastructure operations.

Develop and implement AI/ML models and algorithms to solve business problems.
Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
Design and develop data pipelines to preprocess and transform data for AI/ML models.
Train and evaluate AI/ML models using large datasets.
Optimize and fine-tune AI/ML models for performance and accuracy.
Deploy AI/ML models into production environments.
Monitor and maintain deployed models, ensuring their performance and reliability.
Stay up-to-date with the latest advancements in AI/ML technologies and techniques.
Be responsible for designing graph data models specifically for algorithm optimization.
Be responsible for designing and adding the data from the physical and logical infrastructure components and their relationships.
Developing and implementing data ETL pipelines within AWS.