Collect, clean, and preprocess data from various sources.
Develop, test, and deploy predictive or classification models using machine learning algorithms.
Analyze and interpret large and complex data sets to identify trends, patterns, and insights.
Communicate insights and recommendations to stakeholders through visualizations, reports, and presentations.
Understand the business opportunities and proactively recommend machine learning solutions and strategies to positively impact them.
Collaborate with cross-functional teams to develop and implement data-driven solutions.
Stay up-to-date with the latest trends and technologies in data science and analytics.
Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
At least 5 years of experience in a data science or machine learning role.
Strong technical skills in data science or machine learning libraries in Python/R, deep learning frameworks like PyTorch or Tensorflow, and experience with data visualization tools or libraries for exploratory analysis purposes.
Experience managing and leading related projects across multiple areas of the company.
Excellent problem-solving, critical thinking, and communication skills.
Ability to work independently and as part of a team.
Experience with SQL and NoSQL database technologies.
Experience with cloud computing platforms such as AWS, Azure, or GCP.
General understanding of LLMs and how they work.
Knowledge of machine learning deployment and monitoring methodologies in cloud environments.
Comfortable working in US shift or any other shifts as per business requirements.