AI / Machine Learning Engineer (Intelligent 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

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