AI​/Machine Learning Engineer; Systems & Generative AI

Job Description

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

• 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

• 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/No
  
  SQL databases
• Exposure to prompt engineering and AI fine-tuning techniques

• Bachelor’s degree in Computer Science, AI, Data Science, Engineering
  , or a related field.

• 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, Lang Chain, etc.)
• Experience with ML frameworks:
  Tensor Flow, PyTorch, or Scikit-learn
• Basic knowledge of data structures, statistics, and linear algebra
• Familiarity with REST APIs and model deployment concepts