• Develop and deliver ML models to solve the business problems in the accounts receivables space.
• Implementation and validation of machine learning models & algorithms and oversee the deployment of machine learning models into production environments, ensuring high quality standards, timely delivery and alignment with business goals.
• Take ownership of the assigned tasks and ensure quality delivery of product features & enhancements.
• Work closely with data scientists & engineers to understand the model requirements and improve deployment process.
• Collaborate with cross-functional teams of engineers, data scientists and product stakeholders across the globe to ensure product and infrastructure development aligns with business goals.
• Skilled in evaluation metrics of ML models based on the domain and problem, measuring and improving results, and presenting final results to stakeholders.
• Ownership of delivery, technical direction to the team, and guidance on important technical decisions.
• Ability to organize a team that delivers ML models Expert in Python.
• Ability to do initial data investigation and exploratory data analysis,
• Ask the right questions to begin the discovery process,
• Apply data science techniques, such as machine learning, statistical modeling,
• Analyze large amounts of information to discover trends and patterns
• Communicate actionable insights using data often for a non-technical audience

What makes you a great fit:

• 3 - 5 years of industrial experience in deep learning research and ML development , with a proven track record of delivering successful AI solutions.
• Hands-on experience in python or similar language used in ML.
• Analytical skill, Business acumen , Python expertism,
• Good knowledge of machine learning libraries like Numpy, Pandas, Scikit-learn,matplotlib,seaborn, PyTorch, Keras, Plotly, Jupyter etc.
• Understanding of how and when to use ML algos for a business problem.
• Strong communication, interpersonal and presentation skills, capable of working effectively with cross-functional teams and managing stakeholder relationships.
• Strategic thinker with the ability to translate complex technical concepts and challenges into clear strategic plans and actionable solutions.
• Experience with deploying machine learning at scale is desired
• Experience with cloud computing platforms (AWS, Azure, Google Cloud)