Python Developer Intern Jobs in Newark, DE (NOW HIRING)

Job Summary:
IBM is a leading technology company, and they are seeking a Customer Success Engineer Co-op to help clients realize the value of their products and grow their adoption of next-generation technologies. The role involves working closely with customers and teams to implement solutions addressing complex business challenges and showcasing IBM AI solutions.
Responsibilities:
• Understand Client's Data and AI Challenges and Building Trust: Understand clients' primary Data and AI challenges and establish yourself as a trusted technical expert for their migration, deployment, and adoption of AI and Hybrid Cloud offerings.
• Facilitating Use Case Exploration and Business Framing: Lead use case exploration and business framing workshops, develop client value realization models.
• Developing AI Solutions: Using your Data and AI engineering skills to code/ build MVPs using python, open source frameworks, RedHat and IBM watsonx.
• Leading Persuasive Technical Conversations: Lead technical discussions that persuade clients to act based on their requirements and the value provided by IBM's solutions.
• Creating Post-Deployment Customer Success Plans: Develop customer success plans aimed at continually increasing active user adoption of IBM's products.
Qualifications:
Required:
• Actively Enrolled: Registered undergraduate or graduate university student eligible and available for full time work (40 hours a week) during fall semester 2026. Students should not be enrolled in classes while working this Co-op.
• Technical Education: Seeking B.S. or M.S. degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or equivalent technical degree/experience.
• Programming Language: Experience with Python, notebooks.
• AI Skills: Experience in Machine Learning, Deep Learning, Large Language Models.
• Proficiency in Python and ML toolchains (NumPy, Pandas, Scikit-learn, Jupyter) to prototype models and data pipelines.
• Hands-on experience with model deployment (e.g. serving Hugging Face models via APIs) and LLM inference (batch vs. real-time).
• Understanding of model fine-tuning and in-context learning (choosing when to prompt-engineer vs. train) as part of the LLM lifecycle.
• Specialized Agentic AI frameworks: LangChain, LlamaIndex
• Deep Learning Frameworks: PyTorch, TensorFlow (including Keras), Hugging Face transformers
• Vector Databases: Experience with vector stores like Pinecone, Weaviate, Milvus
• Client Focused: Asks open-ended questions and understands needs to address business challenges.
• Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges.
• Team Player: Demonstrates team collaboration and can navigate different communication styles.
• Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential.
• Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, in addition to the ability to navigate data and people to find answers and present solutions.
Preferred:
• Familiarity with agile development methodologies.
• Knowledge of AI and data governance.
• Knowledge of generative AI architectures such as RAG, chatbots.
• Experience with RedHat OpenShift and Kubernetes.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.