AI Engineers

Key Responsibilities:

Develop and deploy machine learning models and algorithms.
Design and train AI/ML models using frameworks like TensorFlow, PyTorch, or scikit-learn.
Implement generative AI models using GPT, VAE, and GANs.
Collaborate with cross-functional teams to solve business problems and define AI project requirements.
Stay updated with advancements in AI/ML and apply them to improve models or create new approaches.
Optimize generative AI models for performance, scalability, and efficiency.
Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Create clear documentation to communicate AI concepts to both technical and non-technical stakeholders.
Contribute to best practices and standards for generative AI development.

Requirements:

Experience: 03 years in AI/ML.
Education: Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Keras).
Strong understanding of generative AI techniques (GPT, VAE, GANs) and deep learning.
Knowledge of data structures, algorithms, and software engineering principles.
Familiarity with cloud platforms (AWS, GCP, Azure).
Experience with NLP tools (SpaCy, NLTK, Hugging Face).
Proficiency in data visualization (Matplotlib, Seaborn, Plotly).
Knowledge of Agile/Scrum development methodologies.
Excellent problem-solving and communication skills.
Proactive, independent, and collaborative in dynamic environments.
Familiarity with JavaScript, React JS, etc.