AI Engineer (Agentic Operations) - NLP

AIToolboard; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Rocket Software Inc. is seeking an AI Engineer (NLP) to advance agentic operations and language-model based solutions for enterprise data assets.

This role involves building, fine-tuning, and deploying state-of-the-art models to solve real-world information management and analytics challenges. You will work closely with data scientists and software engineers to deliver end-to-end capabilities, drive continuous improvements, and communicate insights to technical and non-technical stakeholders in

Qualifications

• 5+ years of industry experience in ML/NLP.
• Experience managing junior data scientists on projects.
• Strong Python, Linux, and ML skills.
• Ability to translate research into deployable models.

Responsibilities

• Consult with stakeholders to frame model requirements and applications.
• Design, develop, and deploy ML models for enterprise problems.
• Collaborate with software engineers to integrate models into applications.
• Evaluate and adapt current research to solve real-world tasks.

Skills

Python

Linux

Machine Learning

NLP

Team leadership

Communication

Problem solving

Project management

Education

Master's degree in Statistics, Computer Science, Mathematics, Economics, or related fields

Job description

Jobs / AI Engineer (Agentic Operations) - NLP

AI Engineer (Agentic Operations) - NLP

Full-time

About the Role

It's fun to work in a company where people truly BELIEVE in what they're doing!Job Description Summary:Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. Our clientele comprises many Fortune 500 companies, including some of the world's largest banks, insurance companies, and manufacturing organizations. We are currently seeking motivated and innovative individuals to join our applied machine learning team. This is an opportunity to play a crucial role in the continued evolution of our world-class solutions.Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation. They will be responsible for understanding and adapting current research. The position requires a deep understanding of computational linguistics, image processing, and Python programming. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics. This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team.

Essential Duties and Responsibilities

• Consult with key internal and external stakeholders to understand and frame model requirements and potential applications.
• Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning.
• Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.
• Evaluate the applicability of current research to our problem domain and software solutions.
• Collaborate closely with software engineers to integrate the trained models into end-user applications.
• Develop sound analytic plans based on available data sources, business partner needs, and required timelines.
• Manage deliverables across multiple projects in a deadline-driven environment and projects related to a wide variety of business settings.
• Present results, insights, and recommendations to both technical and non-technical stakeholders.

Required Qualifications

• 5+ years of industry experience.
• Experience in the professional management of junior data scientists within projects and their continuous professional development.
• Expertise in Python, Linux, and ML, familiarity with SQL.
• Demonstrated ability to find creative and practical solutions to complex problems.
• Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources.
• Demonstrated ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions.
• A quick learner, highly adaptable to the needs of internal collaborators in a dynamic environment.
• Efficiency in managing multiple projects.
• Excellent communication and interpersonal skills.
• Must be comfortable working in a team-oriented environment.

Preferred Qualifications

• Master’s degree in Statistics, Computer Science, Mathematics, Economics, or directly related fields.

While all the above qualifications are important, we also value candidates who display a strong passion for continued learning, possess a spirit of innovation, and show high adaptability in a fast-paced work environment.

Diversity, Inclusion & Equity

At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work.

Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.

Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

As part of our commitment to a safe and trustworthy workplace, we include background and reference checks in our hiring process.

Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities.

If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to [e-mail].

We will make a determination on your request for reasonable accommodation on a case-by-case basis.

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!