Engineer Generative AI

Knowledge of and experience in

Programming Languages:

Strong proficiency in Python, Java, or C++. Knowledge of and experience in

Frameworks & Libraries:

Experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Knowledge of and experience in

AI/ML:

Deep understanding of machine learning algorithms, neural networks, and data modeling. Knowledge of and experience in

Data Engineering:

Proficiency with SQL, NoSQL, and big data technologies (Spark, Hadoop). Knowledge of and experience in

Tools:

Familiarity with cloud platforms (AWS SageMaker, 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