Create, evaluate, and implement AI/ML models using a variety of tools and packages including the Python data science stack, Azure Cognitive Services, Large Language Models, and others.
Monitor existing model performance, and fix issues and accuracy problems as necessary.
Work with the team and various business leaders to gain a solid understanding of business problems and opportunities that could be addressed by data science techniques.
Work with the Data Engineers to get access to and transform the necessary data to create descriptive and prescriptive models that address those business problems and opportunities.
Create models that accurately predict or describe the needed information, using tools such as Python, Azure Cognitive Services, etc.
Work with the Data Engineers to incorporate the model into data pipelines, applications, and integrations to make the models usable by front-line and management staff.
Create and deploy model diagnostics and monitoring tools that will allow the team to understand how the model performs in production.
Work with the team and stakeholders to successfully drive the adoption of models, helping the business to conduct pilots, address implementation challenges, and estimate ROI/quantify improvements.
Understand and follow all rules and procedures required by security and best practice policies.
Document predictive models and software, and clearly communicate the current state and changes to the teams that use them.
Actively engage with the team while working across geographies and time zones, working to deliver an excellent level of service to all consumers of the models.
Constantly improve yourself and the team through training and sharing of best practices.
Understand MarketStar s business processes and make suggestions on data science services that could drive value for the business.
A high-level understanding of sales processes and tools.
Solid communication skills with experience translating complex technical processes or problems to non-technical language.
Experience in measuring, reporting, and analysis of processes.
An understanding of agile project/task management techniques.
Ability to work independently to create solutions that meet the requirements given.
Qualifications:
Bachelor s degree in Computer Science, Mathematics/Statistics, Engineering, or a similar field.
Experience leveraging Natural Language Processing tools.
Experience querying data using the SQL language.
Experience working with unstructured or semi-structured data.
Experience with Docker.
Extensive experience working with data using the Python language.
Training and certification on the Azure platform (AI 102, DP 100, etc.)
3 - 5 years of experience working with various data science processes, such as exploratory data analysis, regression, classification, clustering, etc.
What s in it for you
Constant Learning and an entrepreneurial growth mindset.
Employee-centric benefits plan including but not limited to Comprehensive Health Insurance, generous Leave Policy, Covid Support, Vaccination drives, Wellbeing sessions, real-time grievance redressal, and work flexibility.
We are a people-first organization with policies and processes that help you bring the best version of yourself into work including fast-track growth for high-potential folks.
An opportunity to be associated with the world s leading brands as clients.
To be a part of an organization with more than 60% of homegrown Leaders.
Customized training programs that are catered to personal and professional development.
We are an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.