Machine Learning Engineering Internship
New
S
STRATIVISHR Consultancy
U.S.InternshipEntry
Salary30 USD per hour
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Job Details
- Required Skills
- PythonPyTorchTensorflowscikit-learnLangChain
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field.
- Hands-on experience with Python and common ML/AI tooling (e.g., PyTorch, TensorFlow, scikit-learn, or similar).
- Familiarity with LLM ecosystems (e.g., OpenAI APIs, LangChain, vector databases, prompt design).
- Strong problem-solving skills and comfort working with ambiguous requirements.
- Ability to move quickly from idea to prototype to production-ready solution.
- Excellent communication skills and the ability to explain technical concepts clearly.
- Highly self-motivated: you take initiative, seek ownership, and don’t wait for direction.
- Comfort working independently in a remote, fast-paced, startup-like environment.
Responsibilities
- Build intelligent systems: Design and develop agent-based tools to automate core business workflows (e.g., candidate sourcing, data enrichment, reporting, internal ops).
- Prototype rapidly: Translate ambiguous problems into working ML/AI solutions using modern frameworks and APIs.
- Work with LLMs: Implement prompt engineering, orchestration, and evaluation techniques to improve system performance.
- Collaborate directly: Partner with STRATIVIS leadership to identify high-leverage use cases and iterate quickly.
- Ship and refine: Continuously test, improve, and scale solutions based on real-world usage and feedback.
- Operate independently: Manage your time, priorities, and deliverables in a highly autonomous environment.
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