Kindly share profiles of candidates who have strong experience in Artificial
Intelligence (AI) and Machine Learning (ML) technologies, matching the
required skill set. Please ensure that the candidates are technically strong
and available for the interview process at the earliest.
Along with the profiles, please share the following details:
We look forward to receiving suitable profiles at the earliest.
Responsibilities
• Develop, enhance, and maintain AI/ML
models that support Sales use cases such as lead scoring, product
recommendation, seller prioritization, customer segmentation,
next-best-action, and seller productivity etc.
• Support the development of LLM and
GenAI-enabled applications, including prompt experimentation, model
evaluation, retrieval workflows, and quality measurement.
• Partner with the DS capabilities team to
translate business problems into model development plans, analytical
approaches, and technical implementation.
• Build and maintain model training,
scoring, validation, and monitoring pipelines in partnership with data
engineering and platform teams.
• Monitor model performance, data quality,
drift, stability, and business impact; proactively identify issues and
recommend improvements.
• Conduct model refreshes, feature
updates, back testing, performance diagnostics, and enhancement analyses to
improve model accuracy and business relevance.
• Support experimentation and measurement
for AI/ML capabilities by preparing datasets, defining model-level
diagnostics, and analysing treatment/control or pre/post-performance where
applicable.
• Write clean, scalable, and
well-documented SQL and Python code for data extraction, feature engineering,
modelling, evaluation, and reporting.
• Create technical documentation for model
logic, assumptions, features, performance metrics, monitoring dashboards, and
operational handoff.
Qualifications
• Highly proficient with 5+ years of
Hands-On experience in developing and deploying AI/ML models.
• Experience with model monitoring, model
refreshes, performance tracking, data quality checks, and production ML
maintenance.
• Highly proficient in SQL, Python and
data story telling.
• Experience with developing GenAI and/or
LLM models is a plus.
• Experience working in Sales, Marketing,
Product, Customer Support, Web, Strategy, CRM is a plus.
• Strong communication skills, with the
ability to explain model performance, risks, and tradeoffs to technical and
non-technical partners.