Job Description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Purpose
We are looking for an ML Engineering Manager who will lead the development and integration of advanced machine learning models, including Generative and Agentic AI, into business workflows to enhance decision-making across the enterprise. This role involves project ownership from requirements gathering, strategic ideation, to design and deployment. Collaboration with cross-functional teams, and mentorship of junior data scientists is paramount. The position requires a strong foundation in data science, project management, stakeholder communication, and strategic thinking.
Key Responsibilities

• Collaborate with business partners and stakeholders on discovery and clarity in understanding the problem and overall strategy to inform workflows and designs
• Model Development and Integration: Design, build, and validate statistical and machine learning models to address key business problems across domains such as operations, telematics, geospatial analytics, computer vision, and NLP.
• Data Exploration and Analysis: Perform in-depth data exploration and analysis to uncover actionable insights and improve model performance.
• Stakeholder Collaboration: Collaborate with business partners and stakeholders to understand problems and strategies, ensuring solutions are adopted and scaled.
• Project Leadership: Lead and manage end-to-end data science initiatives, ensuring high-quality delivery and measurable business impact. Utilize effective project planning techniques to break down complex projects into manageable tasks.
• Mentorship and Development: Assist in the recruitment, selection, mentorship, and development of junior data scientists. Provide technical guidance and lead small technical teams as needed.
• Innovation and Continuous Improvement: Stay up to date with emerging modeling techniques, tools, and technologies, integrating innovative approaches into existing workflows.
• Communication and Influence: Develop and execute communication strategies to keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning solutions.
• Cross-Department Collaboration: Collaborate and influence outside business units to improve business decisions and results through machine learning models.

Must Have Skills

• Around 8 years of experience in applied data science, with a track record of delivering business value through machine learning solutions.
• Proficiency in Python with experience in libraries such as scikit-learn, pandas, NumPy, and TensorFlow or PyTorch.
• Strong foundation in statistical analysis, regression modeling, classification techniques, clustering, time series forecasting, hypothesis testing, and multivariate analysis.
• Hands-on experience building and deploying machine learning models in cloud environments (e.g., AWS, Azure, or GCP), with strong understanding of MLOps practices such as model versioning, CI/CD pipelines, monitoring, and automated retraining workflows.
• Experience working with large-scale structured and unstructured datasets using distributed data systems such as Hadoop, Hive, or Spark.
• Ability to translate complex, ambiguous business problems into structured data science problems and articulate solution approaches clearly.
• Excellent communication, storytelling, and stakeholder management skills.
• Strong analytical and problem-solving mindset with a bias for action.
• Innovation-oriented and proactive in identifying new opportunities for data-driven decision-making.
• Experience working in Agile or Scrum-based project environments.

Preferred Skills

• Experience with Large Language Models (LLMs) and transformer architectures (e.g., GPT, BERT), including prompt engineering or fine-tuning for enterprise use cases.
• Experience with production-grade ML platforms (e.g., MLflow, Vertex AI, SageMaker) and orchestration tools (e.g., Airflow, Kubeflow) to operationalize models at scale team needs guidance on MLOps
• looking forward for XP with developing models in cloud platform (ML Studio and SageMaker) - heavily indexed
• XP w/ Gen AI and Agentic - nice to have

Primary Skills Artificial Intelligence Markup Language, Business Model Development, Data Analytics, Predictive Analytics, Predictive Modeling
Shift Time Shift B (India)
Recruiter Info Annapurna Jha
ajhat@allstate.com
About Allstate
The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization's business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.
Learn more about Allstate India .