Applications, Data and AI Sales Expert at Kyndryl focusing on engaging clients and driving sales growth. Seeking experienced sales professionals in the technical domain with a focus on AI solutions.
About the role
- AI/ML Summer Intern working with Statistics & Decision Sciences at Johnson & Johnson. Engaging in real-world problems in pharmaceutical R&D and manufacturing over the summer.
Responsibilities
- During the internship you’ll be assigned to one or more of the following focus areas (we’ll match based on your skills and interests):
- 1) AI for Scientific & Process Modeling Design and prototype agentic AI workflows that discover, select, and fit mathematical models (e.g., dissolution profiles; broader process/kinetics use cases). Build and benchmark nonlinear curve-fitting and optimization routines; define quality/fit criteria and validation protocols. Generalize methods to additional pharma processes (stability modeling, process optimization, PK/PD signals). Package your work into reusable components and documentation for scientist end-users.
- 2) LLM Platform Integration for R Analytics Help enable secure, enterprise LLM capabilities for R-based statistical workflows by developing and testing OpenAI-compatible API endpoints for a self-hosted LLM stack. Implement and validate OpenAI-style /v1/chat/completions endpoints; support streaming and non-streaming modes. Add secure authentication, configuration for multiple models, and enterprise logging/guardrails. Create test suites and integration examples with R packages (e.g., ellmer, vitals); contribute to documentation and deployment guides; plan for future RAG/embedding integration.
Requirements
- Enrolled in an accredited European university (Bachelor’s, Master’s, or PhD) in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field; available full-time 10–12 weeks between June 1 and Sept 30, 2026.
- Strong Python skills (scientific stack: NumPy/SciPy/pandas) and sound software development practices with Git.
- Solid grounding in statistical modeling, regression, and optimization; ability to analyze noisy experimental data.
- Experience with machine learning concepts and modern LLM usage patterns/APIs.
- Clear, proactive communicator; able to work independently and in cross-functional teams.
- Legally authorized to work in the hiring country without current or future visa sponsorship.
- Experience with R and the analytical ecosystem (e.g., ellmer, testthat, shiny) (nice to have)
- Familiarity with OpenAI-compatible endpoints, FastAPI, microservices, and REST testing (nice to have)
- Knowledge of vector databases, embeddings/RAG, and secure logging/guardrails in regulated settings (nice to have)
- Exposure to Bayesian methods, uncertainty quantification, or PK/PD/process modeling (nice to have)
- Cloud/containerization familiarity (AWS/Azure/GCP, Docker) for scalable deployments (nice to have)
Benefits
- Practical experience applying AI/ML to real pharmaceutical problems in R&D and manufacturing
- Mentorship from senior statisticians/engineers and opportunities to present your work to stakeholders
- A tangible portfolio: prototypes, APIs, tests, and documentation that can be adopted by end users
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Building automations and using AI to enhance operational efficiency at Aurixus GmbH. Engaging in hands - on projects to connect tools and streamline processes for better productivity.
Founder Associate role collaborating with founders to build AI tools for construction. Involvement in strategy, fundraising, and process optimization with high responsibility and impact.
Join Sally Beauty as an IT PMO & AI Solutions Intern, building AI - driven project management tools to enhance IT portfolio efficiency and collaboration.
Software Development Engineer for oneDNN project at Intel, focusing on AI performance in various frameworks. Responsible for design, development, and optimization of AI workloads.
Generative AI Analyst developing prompts and datasets for machine learning models. Collaborates with teams on labeling initiatives and LLM training best practices.
Head of AI developing and scaling AI solutions and sales across EMEA for Nortal. Leading client engagement and partnerships to drive market growth in AI.
Research Engineer AI developing modern applications using AI technologies for business solutions. Collaborating in a motivated team to advance AI vision with clean and maintainable code in Python.
Senior Advanced AI Engineer at Honeywell focusing on AI - driven solutions for smart buildings and industrial automation. Collaborating cross - functionally and mentoring junior engineers.
AI Delivery Lead overseeing integration of AI platform into customer environments with a focus on delivering measurable results. Collaborating with cross - functional teams to drive strategic outcomes that matter.