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AI / Machine Learning Engineer (Intelligent Systems & Generative AI)
Hudson Manpower
- United States
- United States
À propos
We are seeking a motivated
AI / Machine Learning Engineer
with hands-on experience in
Intelligent Systems and Generative AI
to join our growing technology team. This role is ideal for early-career professionals eager to work on real-world AI solutions and scalable ML models.
Experience:
6 Months - 2 Years Employment Type:
W2 Only Work Authorization:
US Citizens Only Location:
Open to Relocation Anywhere in the United States
Key Responsibilities Design, develop, and deploy
Machine Learning and AI models
for real-world business problems Work on
Generative AI solutions
using LLMs, chatbots, recommendation engines, or text/image generation Build and optimize
data pipelines
for model training and inference Collaborate with data scientists, software engineers, and product teams Perform model evaluation, tuning, and performance optimization Implement AI solutions using cloud platforms and modern ML frameworks Document workflows, models, and technical designs Nice to Have
Experience with
NLP, computer vision, or recommendation systems Knowledge of
AWS, Azure, or GCP Understanding of
MLOps, CI/CD pipelines, Docker, or Kubernetes Experience working with SQL/NoSQL databases Exposure to prompt engineering and AI fine-tuning techniques Education
Bachelor's degree in
Computer Science, AI, Data Science, Engineering , or a related field. Required Skills & Qualifications
6 months to 2 years of experience in
AI / Machine Learning
(internships included) Strong programming skills in
Python Hands-on experience with
Machine Learning algorithms
(supervised & unsupervised learning) Exposure to
Generative AI / LLMs
(OpenAI, Hugging Face, LangChain, etc.) Experience with ML frameworks:
TensorFlow, PyTorch, or Scikit-learn Basic knowledge of
data structures, statistics, and linear algebra Familiarity with REST APIs and model deployment concepts
Compétences linguistiques
- English
Avis aux utilisateurs
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