<p>Knowledge of and experience in Programming Languages: Strong proficiency in Python, Java, or C++.</p> <p>Knowledge of and experience in Frameworks & Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.</p> <p>Knowledge of and experience in AI/ML: Deep understanding of machine learning algorithms, neural networks, and data modeling.</p> <p>Knowledge of and experience in Data Engineering: Proficiency with SQL, NoSQL, and big data technologies (Spark, Hadoop).</p> <p>Knowledge of and experience in Tools: Familiarity with cloud platforms (AWS SageMaker, Azure ML) and MLOps tools (MLFlow).</p> <p>Good to have: Experience in Model Development: Designing, building, and training AI models (NLP, computer vision, predictive analytics).</p> <p>Good to have: Experience in Data Handling: Gathering, cleaning, labeling, and organizing large datasets to train AI models.</p> <p>Good to have: System Deployment Experience: Deploying trained models into production environments using APIs, containers, and microservices.</p> <p>Good to have: Experience in Performance Optimization: Monitoring and improving model accuracy, scalability, and reliability.</p> <p>Good to have: Experience of collaborating: Working with data scientists, software engineers, and stakeholders to integrate AI solutions into business applications.</p> <p>Education: A Bachelor's or Master's degree in Engineering, typically in Computer Science, Data Science, Artificial Intelligence.</p> <p>Experience Level: 2+ years of experience in software development, engineering and machine learning projects</p> <p>Salary Range: $130,000 to $150,000 per year</p>