Top 3 skills:

• Python
• TensorFlow, PyTorch
• NLP, LLM, GenAI

Nice to have:

• NoSQL databases
• Kafka

Day to day responsibilities:

• Design and conduct experiments to test hypotheses and validate model assumptions
• Analyze experimental results and provide recommendations for further optimization.
• Implement clustering, classification, regression, and other machine learning algorithms as needed.
• Apply data mining techniques to extract actionable insights from structured and unstructured data.
• Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
• Develop and deploy predictive models using machine learning algorithms.
• Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
• Evaluate model accuracy, precision, recall, and other performance metrics
• Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.