AI/ML ENGINEER
$62 per hourKeylent Inc
***Max rate $62-STC 32994-1
***Onsite in Phoenix - AZ
AI/Client ENGINEER
Job summary
Experience : 6to10Yrs
Required Skills : ,Python,Enterprise Data Management,API,Data Architect,Vector Databases,Large Language Model (LLM)
As a Engineer, you will leverage your expertise in Python, Large Language Models (LLM), Vector Databases, API, Data Architecture, and Enterprise Data Management to drive innovative solutions.
With 6 to 10 years of experience, you will play a crucial role in developing and managing data systems that support our company's mission and impact society positively. Proficiency in Programming:
Strong coding skills in Python or similar languages commonly used in machine learning and data science.
Generative AI 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 Client 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.
Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like GCP. Job Location : Primary :USAZPHOC01 Phoenix - AZ USA
Job Type : 60CW16 Zn Digital & Data Engineer
Demand Requires Travel? : N
Certification(s) Required : NA
***Onsite in Phoenix - AZ
AI/Client ENGINEER
Job summary
Experience : 6to10Yrs
Required Skills : ,Python,Enterprise Data Management,API,Data Architect,Vector Databases,Large Language Model (LLM)
As a Engineer, you will leverage your expertise in Python, Large Language Models (LLM), Vector Databases, API, Data Architecture, and Enterprise Data Management to drive innovative solutions.
With 6 to 10 years of experience, you will play a crucial role in developing and managing data systems that support our company's mission and impact society positively. Proficiency in Programming:
Strong coding skills in Python or similar languages commonly used in machine learning and data science.
Generative AI 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 Client 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.
Model Deployment: Proven experience in deploying machine learning models into production environments, using tools like Docker, Kubernetes, or cloud services like GCP. Job Location : Primary :USAZPHOC01 Phoenix - AZ USA
Job Type : 60CW16 Zn Digital & Data Engineer
Demand Requires Travel? : N
Certification(s) Required : NA
Vacancy posted 5 days ago
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