Applied Machine Learning Engineer Lead Consultant

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.
** Job Description
** This lead consultant is a hands-on, forward engineering role in the field of machine learning, information retrieval, artificial intelligence, natural language processing, and ontology engineering technologies. Contributes to the realization of cutting-edge technical capabilities into business applications and solutions by being responsible for applying advanced algorithms and techniques to software solutions.
** About the Role
** We are looking for a
** Generative AI Software Engineer
** to join our team and help build next-generation AI-driven solutions. This role blends
** traditional Software engineering
** with
** cutting-edge AI integration**, enabling innovative digital products and services. You will work closely with cross-functional teams to design, develop, and deploy secure, scalable applications and integrate advanced AI models into production environments.
** Key Responsibilities
**** Sofware Engineering
*** Build secure, scalable, and high-performance microservices and applications using
** Java Spring Boot / Python**.
* Design and maintain
** RESTful APIs
** and microservices architecture with asynchronous processing.
* Implement
** CI/CD pipelines**, containerization (
** Docker**), and orchestration (
** Kubernetes**).
* Deploy and manage applications on cloud platforms, preferably
** Microsoft Azure**.
** AI Integration & Development
*** Integrate and deploy
** Generative AI models** (e.g., OpenAI, Hugging Face, Lang Chain) into production environments.
* Optimize
** LLMs
* * for specific use cases and implement
** RAG (Retrieval-Augmented Generation)
** pipelines.
* Work with
** embedding models**,
** vector databases**, and
** prompt engineering
** techniques.
* Explore
** multi-modal AI systems
** and
** agentic AI frameworks
** for advanced capabilities.
** Modern Development Practices
*** Leverage tools like
** Git Hub Copilot
** and agentic AI for code reviews, unit testing, and pull requests.
* Leverage APM tools like Data Dog to enhance Observability posture for your application.
* Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions.
** MLOps & Model Deployment
*** Implement best practices for
** model deployment, scaling, versioning, and monitoring**.
* Develop and maintain scalable
** data pipelines
** for ingestion, processing, and feature engineering.
* Ensure compliance with
** ethical AI standards
** and data governance as per Allstate standards.
** Required Qualifications**
* ** 3+ years
** of backend development experience using
** Java Spring Boot / Python**.
* Strong understanding of
** RESTful APIs**,
** microservices architecture**, and
** asynchronous processing**.
* Hands-on experience with
** Docker**,
** Kubernetes**, and
** CI/CD pipelines**.
* Experience working with
** Generative AI APIs
** and/or open-source models.
* Knowledge of
** Lang Chain**,
** LLM orchestration**, and
** prompt engineering**.
** Preferred Skills
*** Exposure to
** multi-modal AI systems
** and
** agentic AI frameworks**.
* Experience with
** MLOps workflows
** and cloud deployment (
** Azure/AI Foundry preferred**).
* Strong problem-solving and debugging skills.
** Nice to Have
*** Knowledge of
** ethical AI practices
** and compliance frameworks.
* Familiarity with
** data preprocessing**,
** token management**, and
** embedding generation**.
* Work on cutting-edge AI technologies and shape the future of digital products.
* Collaborate with a dynamic, cross-functional team in an innovative environment.
* Competitive compensation, benefits, and opportunities for professional growth.
** Skills
* *** Compensation
* * Compensation offered for this role is 0.00 - 0.00 annually and is based on experience and qualifications.

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