Hi,
Hope you are doing good,
This is Mohammed Yousuf from Vervenest Technologies INC, can you please check with the below job roles and let me know if you have any suitable consultants on your bench please respond to me for more information.
Below are the Urgent Requirements can close in a week – Need H1b Consultants only.
Note: Need LinkedIn, Passport Number, Direct Contact along with H1B & DL Copies for Submission.
Position: Gen Al Architect & Solution Architect
Location: Phoenix AZ (onsite)
Duration: Long term
Client: Amex
Immediate Role
Job Description
Gen Al Architect & Solution Architect
* Design, develop, and deploy Al systems that can solve complex business problems and create value for customers and stakeholders.
* Ensure the quality, performance, and security of Al systems, and adhere to the best practices and standards for Al development and deployment.
* Collaborate with data scientists, engineers, analysts, and business stakeholders to understand the requirements, challenges, and opportunities for Al solutions.
* Communicate the benefits, risks, and limitations of Al solutions to various audiences, and provide guidance and support for Al adoption and governance.
* Research and evaluate new technologies, tools, and methods for Al development and deployment, and stay updated with the latest trends and developments in the field.
* Proficient in LLMs and Vector Databases
* Expertise in one or more Al frameworks, such as Lang Chain.
* Knowledge of Al concepts, such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
* Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud.
Position: AI/ML Engineer
Location: Phoenix AZ (onsite)
Duration: Long term
Client: Amex
Immediate Role
AI/ML Engineer : * Proficiency in Programming: Strong coding skills in Python or similar languages commonly used in machine learning and data science.
* Generative Al Expertise: Experience in prompt engineering, familiarity with large language models (LLMs), vision-language models (VLMs), vector databases, and advanced techniques like Tree of Thought for enhancing model capabilities and performance.
* Experience with ML Frameworks: Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Knowledge of Algorithms: Deep understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.
* Data Handling Skills: Expertise in data preprocessing, feature engineering, and handling large datasets using tools like Pandas, NumPy, or similar. Experience
* Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like GCP