Berkley

Principal Engineer - AI Platform

Berkley • $145K — $175K *
Wilmington, DE 19805In-Person
Enterprise Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years of engineering experience in large-scale projects across data domains.
  • Proven track record in building AI or machine learning platforms.
  • Strong programming skills in Python, R, and/or Java.
  • Familiarity with cloud platforms (AWS, Azure) and container technologies (Docker, Kubernetes).
  • Expertise in various database management systems, including MySQL and Graph databases.
  • Solid understanding of REST APIs and Agile methodologies.
  • Strong problem-solving capability and effective communication skills.

Responsibilities

  • Design and develop scalable AI platforms for machine learning models.
  • Collaborate with data scientists to optimize infrastructure for model requirements.
  • Implement and maintain data pipelines and model deployment strategies.
  • Ensure high availability of AI services through troubleshooting and tuning.
  • Integrate third-party services and collaborate with frontend developers.
  • Automate tasks and enhance platform efficiency with configuration tools.
  • Document architecture, workflows, and best practices for scalability.

Benefits

  • Flexible working hours and remote work options.
  • Access to training and development resources.
  • Opportunities for attending industry conferences and workshops.
  • Comprehensive health and wellness programs.
  • Collaborative and inclusive team culture.
Full Job Description
Responsibilities

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications. This role works closely with data scientists, software engineers, and product managers to develop scalable solutions that enhance the efficiency, reliability, and performance of our AI systems.

  • Design and develop scalable AI platforms to support various machine learning and deep learning models.
  • Collaborate with data scientists to understand model requirements and optimize infrastructure accordingly.
  • Implement and maintain data pipelines, model deployment strategies, and monitoring systems.
  • Ensure high availability and reliability of AI services through effective troubleshooting and performance tuning.
  • Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and small/secure web front ends.
  • Design and implement database schemas and queries for relational, NoSQL and Graph databases
  • Integrate with third-party services, including Kafka, Entra ID,
  • Collaborate with the frontend team to integrate frontend and backend systems seamlessly
  • Ensure the scalability, reliability, and security of backend systems
  • Troubleshoot and debug issues as they arise
  • Write optimized code and provide innovative solutions to complex problems
  • Stay updated with industry trends and emerging technologies
  • Stay current with the latest advancements in AI and machine learning technologies and incorporate them into the platform.
  • Automate repetitive tasks and improve platform efficiency through scripting and configuration management tools.
  • Provide technical guidance and support to other teams regarding AI platform usage and best practices.
  • Document platform architecture, workflows, and procedures for future reference and scalability.


Qualifications

  • 10+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives.
  • Proven experience in building and maintaining AI or machine learning platforms.
  • Strong knowledge of programming languages such as Python, R, and/or Java.
  • Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Experience in optimizing code and Infrastructure for large data set manipulation
  • Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB
  • Excellent knowledge of modern Vector and Graph databases
  • Excellent knowledge of Redis cache or other similar solutions
  • Experience with version control systems like Git and GitLab and Agile development methodologies
  • Excellent understanding NLP, and AI/ML design and implementation concepts
  • Excellent understanding of REST APIs, API Gateways and SPAs
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Excellent knowledge of data storage solutions and database management systems.
  • Proficiency in object-relational mapping (ORM), advanced algorithms, data structures, object-oriented and functional design principles, and best-practice patterns.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc.).
  • Experience with Master Data Management (MDM) systems and processes.
  • Experience with Data Loss Prevention (DLP), encryption/redaction strategies, etc. for protecting PII/sensitive data.
  • Good understanding of Processor architecture and ability to work with providers to map use cases to appropriate platforms
  • Bachelors Degree in Computer Science, Information Technology, Information Systems, or a related discipline. Equivalent experience and/or alternative qualifications will be considered.
  • 10%-20% of Travel Required.
Preferred Qualifications
  • Advanced degree in computer science, data science, AI, or related field.
  • Experience with big data technologies (Hadoop, Spark).
  • Experience with reinforcement learning, generative AI, or autonomous systems.
  • Knowledge of MLOps practices and tools.
  • Knowledge of insurance-specific AI applications.
  • Hands-on experience working with AI/ML as a Data Scientist.
  • Experience in deploying machine learning models in production environments.
  • Understanding of distributed systems and microservices architecture.

About Berkley

Berkley is a packaging company that develops innovative solutions to help our customers sell more product and be on the edge. Berkley offers the cost advantages and creative control of an in house/on site agency without the risk and hassle of oversight. Berkley develops turnkey retail environments – including design, manufacturing and installation services.

Berkley Careers

Joining Berkley presents a prime opportunity to be part of a team renowned for its leadership in the industry, fostering innovation and growth. Berkley, a company committed to professional excellence and diversity, offers a range of job opportunities that cater to various skills and career aspirations.

Explore Job Opportunities

Berkley is actively hiring, seeking individuals who are passionate, driven, and ready to contribute to a dynamic team environment. With a variety of positions available, Berkley provides a platform for professionals at every stage of their career, from entry-level to senior leadership roles.

Internship Programs

Kickstart a career with Berkley through comprehensive internship programs designed to provide hands-on experience in a real-world setting. Internships at Berkley are a gateway to full-time employment, offering invaluable industry exposure and networking opportunities.

Professional Growth and Development

Berkley is dedicated to the continuous professional development of its team members. The company supports career advancement through leadership training programs, workshops, and seminars that enhance skills and foster innovation.

Diversity and Inclusion

At Berkley, diversity is celebrated and actively promoted through various initiatives and diversity training programs. The company believes that a diverse workforce is key to driving creativity and innovation.

Benefits and Culture

Employees at Berkley enjoy a range of benefits designed to support their professional and personal lives. The company culture emphasizes teamwork, respect, and integrity, creating an environment where everyone can thrive.

Applying for a Position

To apply for a position at Berkley, candidates are encouraged to submit a resume that highlights relevant experience and skills. The interview process is designed to assess not only professional qualifications but also a candidate's fit with Berkley's culture and values.

Stay Connected with Berkley Careers

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Discover the career opportunities waiting at Berkley. Search for open positions that match your skills and interests. Berkley is looking for curious, creative, and solution-driven team players ready to make an impact.

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Learn more about Berkley
Size
51 employees
Industry
Finance & Insurance
* Ladders Estimates

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