ML Engineer-AI/ML - Austin, United States - Zortech Solutions

Description

Role: ML Engineer-AI/ML

Location: Austin, TX (Onsite)

Duration: Fulltime

Job Description:

H1B Transfer should be fine

Design, develop, and deploy AI/ML models using Python, TensorFlow, and other

relevant technologies.

Utilize genetic algorithms to optimize solutions for various applications, such as resource

allocation, scheduling, and predictive modeling.

Collaborate with cross-functional teams to understand project requirements and develop

innovative AI solutions to address business needs.

Conduct research and stay updated on the latest advancements in AI/ML, particularly in

the field of genetic algorithms.

Evaluate model performance and implement improvements to enhance overall efficiency

and accuracy.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Proven experience as an AI/ML Engineer with a strong focus on coding and software

development.

Hands-on experience with Python, TensorFlow, and other relevant programming

languages and libraries.

Demonstrated expertise in implementing genetic algorithms for optimization tasks.

Familiarity with machine learning techniques such as supervised learning, unsupervised

learning, and reinforcement learning.

Excellent problem-solving skills and ability to think creatively to develop innovative

solutions.

Strong communication skills and ability to collaborate effectively with cross-functional

teams.

Preferred Qualifications:

Experience working with large-scale datasets and distributed computing frameworks.

Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud.

Previous experience in industries such as healthcare, finance, or manufacturing.

experience in using GenAI frameworks like OpenAI