AI/ML Engineer 1016

TalentHop; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

TalentHop is seeking an AI/ML Engineer to design, develop, and deploy machine learning models that power AI initiatives across the organization. You will train models, perform data preprocessing and feature engineering, and collaborate with cross-functional teams to ship scalable AI solutions.

The role requires 4+ years of experience, strong Python skills, and hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus cloud familiarity (AWS/Azure/GCP).

Qualifications

• 4+ years of AI/ML experience.
• Proficient in Python.
• Experience with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of SQL and data processing.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design and develop machine learning models.
• Train and deploy AI/ML models into production environments.
• Perform data preprocessing and feature engineering.
• Evaluate model performance and optimize existing solutions.
• Build AI-driven applications using Python and relevant frameworks.
• Utilize TensorFlow, PyTorch, and Scikit-learn for model development.
• Collaborate with cross-functional teams to deliver technology solutions.
• Explore advancements in Generative AI, NLP, and Large Language Models.

Skills

Python

SQL

NLP

Generative AI

Large Language Models

Data preprocessing

Analytical thinking

Problem solving

Cloud computing

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

The organization operates within the artificial intelligence and machine learning sector, addressing the need for advanced AI-driven solutions. It focuses on developing and deploying machine learning models and pipelines that enhance data processing and analytical capabilities. The team applies practical AI/ML knowledge to build scalable applications using industry-standard frameworks.

About the Opportunity:

The AI/ML ENGINEER is responsible for designing, developing, and deploying machine learning models that support the organization's AI initiatives. This role contributes by creating AI-driven solutions, optimizing model performance, and collaborating with cross-functional teams to implement scalable technology products. The position plays a key part in advancing the organization's capabilities in areas such as generative AI, natural language processing, and large language models.

Responsibilities:

• Design and develop machine learning models.
• Train and deploy AI/ML models into production environments.
• Perform data preprocessing and feature engineering.
• Evaluate model performance and optimize existing solutions.
• Build AI-driven applications using Python and relevant frameworks.
• Utilize TensorFlow, PyTorch, and Scikit-learn for model development.
• Collaborate with cross-functional teams to deliver technology solutions.
• Explore advancements in Generative AI, NLP, and Large Language Models.

Requirements:

• Minimum 4 years of experience in AI/ML or related fields.
• Proficient in Python programming.
• Knowledgeable in machine learning algorithms and statistical modeling.
• Experienced with TensorFlow, PyTorch, or Scikit-learn.
• Understanding of SQL and data processing techniques.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical and problem-solving skills.
• Eligible to work in the U.S. with one of the following: H-4 EAD, Green Card, Green Card EAD, or U.S. Citizenship.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.