Senior AI Scientist

Datacor; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in software solutions seeks an AI Engineer to innovate intelligent applications. Candidates should possess a Master’s or PhD and prove expertise in generative AI and NLP. This role includes building prototypes and deploying robust solutions while being part of a dynamic, supportive team.

Qualifications

• 2 years of relevant experience required.
• Strong background in machine learning and optimization.
• Proficiency in programming languages through educational or work experience.

Responsibilities

• Collaborate with stakeholders to identify AI opportunities.
• Lead MVP development with cross-functional teams.
• Deliver reliable AI features in production.

Skills

Generative AI Expertise

NLP Knowledge

Cloud Computing

Deep Learning

Problem-Solving

Effective Collaboration

Communication Skills

Education

Master's or PhD in Computational Data Science

Tools

Python

C++/Java

AWS

Google Cloud

Job description

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

The Role:

At our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference—helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership—from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations.

We seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you.

Responsibilities:

• Collaborate with stakeholders to identify new AI opportunities & create intelligent AI applications.
• Lead MVP development using a test-and-learn approach with cross-functional teams.
• Iterate from problem framing to prototyping and deploying production-grade solutions.
• Deliver reliable, scalable AI features in production.
• Build prototypes and develop data pipelines for deployment.
• Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
• Clearly communicate efforts and impact to both technical and business audiences.

Qualifications:

• Master’s or PhD degree in computational data science, computer science, electrical/computer engineering, or related fields, plus 2 years of relevant experience.
• Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models.
• Familiarity with cloud computing and AI deployment on AWS or Google Cloud.
• Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience.
• Proficient in Python & C++/Java programming through academic or work experience.
• Expertise in the latest Large Language Models (LLMs) and AI advancements.
• Proactive in staying updated with evolving AI trends and new LLM releases.
• Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset.
• Self-motivated, asking critical analytical questions to drive impactful product outcomes.
• Effective collaborator across teams, including operations, product, and engineering.
• Strong communication and presentation skills, able to convey complex analysis clearly and actionably.
• Results-oriented, creative thinker who takes initiative and delivers practical solutions.
• Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products.

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