Home

Contract Role - GenAi Developer, Allentown, PA - Onsite at Allentown, Pennsylvania, USA
Email: [email protected]
Role: GenAi Developer

Location: Allentown, Pennsylvania

Type: Contract

Model: Onsite

Roles & Responsibilities

Design, develop, and train generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for applications such as content generation, data synthesis, and automation.

Implement and optimize machine learning algorithms to enhance the performance and capabilities of generative AI systems.

Prepare and preprocess datasets for training and evaluating generative AI models, ensuring data quality and integrity.

Collaborate with software engineering teams to integrate generative AI functionalities into existing systems and applications.

Optimize AI models for efficiency, scalability, and performance across different platforms and environments.

Stay updated with the latest advancements in generative AI and related fields and apply new techniques and methodologies to ongoing projects.

Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and robustness.

Create detailed documentation for AI models, processes, and best practices to facilitate knowledge sharing and maintainability.

Work closely with data scientists, product managers, and other stakeholders to understand requirements and deliver AI-driven solutions that meet business needs.

Adhere to ethical guidelines in AI development, addressing issues such as bias, fairness, and transparency in AI models.

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.

Minimum of 5 years of experience in AI/ML development or a related role.

Proven experience in developing and deploying generative AI models and sol

Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.

Proficiency in programming languages such as Python, Java, or C++.

Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.

Knowledge of API development and integration.

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Experience with version control systems (e.g., Git).

MUST HAVE Skills

Knowledge and experience implementing RAG and fine-tuning GenAI solution using the relevant Azure resources and services.

Experience with developing Custom Copilots using Microsoft Copilot Studio. Custom Connector and Extension development experience a plus.

Experience with developing Gen AI solutions using Azure OpenAI, Azure AI Search and Azure AI Studio for RAG and fine-tune LLM for GenAI solutions.

Must possess expertise in prompt engineering to facilitate gen ai solution testing and usage.

Agile / ADO experience

Knowledge and experience in implementing distributed architecture patterns (e.g. web applications, REST/microservices). Azure experience a plus.

Knowledge and experience in implementing GenAI solutions using a defined GenAl life cycle process.

Java development experience

Thanks and Regards,

Ankush Verma | Lead Recruiter

Office: 732 485 0000 - 9086

Direct: 209-260-5752

Email:
ankush@
cygnuspro.com

Cygnus Professional Inc.

https://www.linkedin.com/in/ankush-verma-7a1818b2/

Keywords: cplusplus artificial intelligence machine learning
Contract Role - GenAi Developer, Allentown, PA - Onsite
[email protected]
[email protected]
View all
Fri Oct 18 19:01:00 UTC 2024

To remove this job post send "job_kill 1855013" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 7

Location: Allentown, Pennsylvania