GenAI Engineer

Required Skills & Experience

• 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 of 3+ years in 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 5+ 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 - Azure. (Azure OpenAI based)

• You have experience of 5+ years with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. (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.

Job Description

We are currently hiring a highly skilled and motivated Generative AI Engineer to

join our talented engineering team. As a Generative AI Engineer, you will be responsible for

developing and implementing cutting-edge generative AI models to solve complex problems

and drive innovation across our organization. You will work closely with data scientists,

software engineers, and product managers to design, build, and deploy AI-powered solutions

that enhance our products and services.

Responsibilities:

• 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.

Compensation

Up to $25 USD per hour, based on total years of relevant experience