Principal Engineer of Data Science – Fulltime/Perm position jobs in United States
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RIT Solutions, Inc. · 6 days ago

Principal Engineer of Data Science – Fulltime/Perm position

RIT Solutions, Inc. is seeking a Principal Engineer of Data Science to develop LLM-powered intelligent experiences and optimize personalized Q&A systems. The role involves collaborating with cross-functional teams to advance AI/ML product development and contribute to trustworthy AI practices.

Staffing & Recruiting
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H1B Sponsor Likelynote

Responsibilities

Develop LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data
Build and optimize personalized Q&A systems using large language models, enabling context-aware responses tailored to user needs
Design and enhance conversational talent recommendation systems, combining autonomous agent architectures with personalized recommendation algorithms
Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent
Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences
Collaborate within a highly cross-functional team, including data scientists, machine learning engineers, product managers, and UX designers
Partner with fellow data scientists to design, prototype, and iterate on AI/ML models and system architectures
Work closely with machine learning engineers to deploy, monitor, and optimize scalable AI/ML solutions in production environments
Collaborate with product managers to design intuitive user experiences, define feedback loops, and analyze user telemetry to guide product improvements
Engage in end-to-end AI/ML product development, from ideation to deployment, while continually expanding your technical and product skillset
Follow and help define robust development standards to ensure the creation of trustworthy, safe, and responsible AI systems
Contribute to internal and external AI/ML research through experimentation, whitepapers, and collaboration with the broader AI community

Qualification

GEN AITime Series ExperienceLLMRAGBERTGPTPythonNLP ApplicationsMachine Learning InfrastructureDeep Learning SystemsCommunication SkillsMentoringCollaboration

Required

GEN AI
Time Series Experience(forecasting Models)
Prompting and Fine Tuning
LLM, RAG, BERT, GPT
Appropriate Leveling- Manager needs to have manager experience, principal needs to be the top person on the team, staff needs too have at least lead experience
Proven experience deploying high-risk NLP applications in real-world, production environments—such as those involving regulatory compliance, privacy, safety, or fairness
Demonstrated ability to advance and implement Trustworthy AI and Responsible ML practices, working cross-functionally with engineering, legal, policy, and product stakeholders across a large enterprise
Track record of mentoring and coaching junior data scientists, especially in navigating ambiguous or Client problem spaces
Strong applied machine learning experience, with solid foundational knowledge in statistics, optimization, and deep learning—preferably gained at leading technology companies (e.g., Google, Meta, Microsoft) or AI-first startups
Excellent communication skills with the ability to synthesize complex technical work into accessible insights for executive briefings, research publications, and external presentations
Advanced proficiency in Python and common ML/DS libraries such as NumPy, pandas, scikit-learn, as well as deep learning frameworks like TensorFlow, PyTorch
Experience designing and deploying scalable deep learning systems, including neural network architecture optimization, model distillation, quantization, or on-device inference
Strong understanding of machine learning infrastructure, including experience with Kubeflow, MLflow, Airflow is a plus

Preferred

Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the design of modern recommender systems
Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization
Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR

Benefits

Relocation package

Company

RIT Solutions, Inc.

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H1B Sponsorship

RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase