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GirnarSoft
AI/ML Engineer
GirnarSoft · posted 2 months ago
Remoterecruitment + vendor
About the role
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.
• 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.