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Generative AI ML Engineer

Remote,Phoenix, AZ
Software Development
Generative AI
Machine Learning
Deep Learning
Python
NLP

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

Position: Generative AI ML Engineer

Location: phoenix, AZ( Hybrid)

 

Job Brief

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.

Main Responsibilities of a Generative AI/ML 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.

 

 

 

Regards,

 

Manoj

Derex Technologies INC

Contact : 973-834-5005 Ext 206

Additional Information

All your information will be kept confidential according to EEO guidelines.

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