Engineer Generative AI

Job Description

• Programming
  
  Languages:
  
  Strong proficiency in Python, Java, or C++.
• Frameworks & Libraries: Experience with Tensor Flow, PyTorch, Keras, or Scikit-learn.
• AI/ML: Deep understanding of machine learning algorithms, neural networks, and data modeling.
• Data Engineering: Proficiency with SQL, No
  
  SQL, and big data technologies (Spark, Hadoop).
• Tools: Familiarity with cloud platforms (AWS Sage Maker, Azure ML) and MLOps tools (MLFlow).
• Good to have: Experience in Model Development:
  Designing, building, and training AI models (NLP, computer vision, predictive analytics).
• Good to have: Experience in Data Handling:
  Gathering, cleaning, labeling, and organizing large datasets to train AI models.
• Good to have: System Deployment
  
  Experience:
  
  Deploying trained models into production environments using APIs, containers, and microservices.
• Good to have: Experience in Performance Optimization:
  Monitoring and improving model accuracy, scalability, and reliability.
• Good to have: Experience of collaborating:
  Working with data scientists, software engineers, and stakeholders to integrate AI solutions into business applications.

Education: A Bachelor’s or Master’s degree in Engineering, typically in Computer Science, Data Science, Artificial Intelligence.

Experience Level: 2+ years of experience in software development, engineering and machine learning projects

Salary Range: $130,000 to $150,000 per year

Qualifications: BACHELOR OF COMPUTER SCIENCE