Hudson IT and Manpower · 4 hours ago
AI / Machine Learning Engineer (Intelligent Systems & Generative AI)
Hudson IT and Manpower is seeking a motivated AI / Machine Learning Engineer with hands-on experience in Intelligent Systems and Generative AI to join their growing technology team. This role is ideal for early-career professionals eager to work on real-world AI solutions and scalable ML models.
Human Resources
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
Qualification
Required
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
Preferred
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
Company
Hudson IT and Manpower
The Hudson Group comprises of: HudsonIT Consultancy Ltd – a dynamic Software Solutions and IT Staffing firm in United States and Hudson Manpower Inc – specializing in offering comprehensive recruitment services for technical industries worldwide, ensuring quality hires for various sectors.
Funding
Current Stage
Early StageCompany data provided by crunchbase