Davies North America

Global insurance professional services and tech

Machine Learning Technical Lead - Data / AI

Applied Machine LearningUpdated on Nov 13

Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

A Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field is required; a Master's degree is preferred.
At least 7 years of experience in data science, machine learning, analytics, or software engineering roles is required.
At least 3 years of leadership experience managing technical teams or leading complex AI initiatives is required.
Deep expertise in machine learning algorithms, predictive modeling, natural language processing, large language models, and generative AI technologies is required.
Strong proficiency in Python, SQL, and cloud-based data platforms is required.
Hands-on experience with Azure AI Services, Azure Machine Learning, Microsoft Fabric, and Power BI is required.
Experience implementing MLOps, continuous integration/continuous delivery, model monitoring, and production-grade machine learning solutions is required.
Technical writing, communication, and stakeholder management skills are required.
Analytical, problem-solving, and strategic thinking capabilities are required.

Responsibilities

Lead the design, development, deployment, and monitoring of machine learning and generative AI solutions across the organization.
Define enterprise standards, architecture patterns, MLOps practices, and model governance frameworks.
Partner with business leaders to identify high-value use cases and translate them into scalable AI solutions.
Provide technical leadership and mentorship to data scientists, machine learning engineers, analytics teams, and developers.
Oversee model lifecycle management, including feature engineering, training, evaluation, deployment, drift monitoring, and retraining.
Build and optimize machine learning pipelines using Azure, Microsoft Fabric, Databricks, Python, and related technologies.
Ensure security, compliance, explainability, and responsible AI principles are embedded into solutions.
Collaborate with executive leadership to create AI roadmaps and measure business outcomes.
Present technical concepts, recommendations, and results to technical and non-technical audiences.

Imagine being part of a team that's not just shaping the future but actively driving it. At Davies, we're at the forefront of innovation and excellence, blending cutting-edge technology with top-tier professional services. As a vital part of the global Davies Group, we help businesses navigate risk, optimize operations, and spearhead transformation in the insurance and regulated sectors.

We're on the lookout for a full-time Machine Learning Technical Lead. This role provides technical leadership for AI, machine learning, and advanced analytics initiatives while guiding engineers, data scientists, and business stakeholders from concept through production.

Lead the design, development, deployment, and monitoring of machine learning and generative AI solutions across the organization.
Define enterprise standards, architecture patterns, MLOps practices, and model governance frameworks.
Partner with business leaders to identify high-value use cases and translate them into scalable AI solutions.
Provide technical leadership and mentorship to data scientists, ML engineers, analytics teams, and developers.
Oversee model lifecycle management including feature engineering, training, evaluation, deployment, drift monitoring, and retraining.
Build and optimize machine learning pipelines using Azure, Microsoft Fabric, Databricks, Python, and related technologies.
Ensure security, compliance, explainability, and responsible AI principles are embedded into all solutions.
Collaborate with executive leadership to create AI roadmaps and measure business outcomes.
Present technical concepts, recommendations, and results to both technical and non-technical audiences.

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field; Master's degree preferred.
7+ years of experience in data science, machine learning, analytics, or software engineering roles.
3+ years of leadership experience managing technical teams or leading complex AI initiatives.
Deep expertise in machine learning algorithms, predictive modeling, NLP, LLMs, and generative AI technologies.
Strong proficiency in Python, SQL, and cloud-based data platforms.
Hands-on experience with Azure AI Services, Azure Machine Learning, Microsoft Fabric, and Power BI.
Experience implementing MLOps, CI/CD, model monitoring, and production-grade ML solutions.
Excellent technical writing, communication, and stakeholder management skills.
Strong analytical, problem-solving, and strategic thinking capabilities.

About the Company

Davies North America

Global insurance professional services and tech

Davies North America is a global professional services and technology company that began in the UK as an insurance claims manager. It now provides technology, consulting, and legal solutions to clients in regulated industries, including insurance, through managed services, outsourcing, and advisory offerings. The company grows by acquiring other businesses to expand its geographic reach and service capabilities. Its goal is to become a global leader in professional services and technology for regulated industries, particularly in markets like the US, Canada, and Bermuda.

Company size: 5,001-10,000
Company stage: Debt Financing
Total funding: $363M
Headquarters: London, United Kingdom
Founded: 1968

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