Keylent 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
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