Generative AI Engineer - Artificial Intelligence/Machine Learning (4-9 yrs)

Main Responsibilities of a Generative AI Engineer :

Your main responsibilities will include :

- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

- Optimizing existing generative AI models for improved performance, scalability, and efficiency.

- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

- Contributing to the establishment of best practices and standards for generative AI development within the organization.

- Providing technical mentorship and guidance to junior team members.

Key Requirements of a Generative AI Engineer :

- You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.

- You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

- You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

- You have strong knowledge of data structures, algorithms, and software engineering principles.

- You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.

- You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.

- You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

- You have knowledge of software development methodologies, such as Agile or Scrum.

- You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

- You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

- You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.