AI Engineer

10161 Park Run Drive, Las Vegas, NV, USA - On-site

ACHNET Inc

10161 Park Run Drive, Las Vegas, NV, USA

Full-time

Mid-Level (3-5 years of experience)

Job Overview

ACHNET Inc is seeking a talented and motivated AI Engineer to join our innovative team. The ideal candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence solutions that drive business value. This role requires a strong understanding of machine learning algorithms, deep learning frameworks, and data science principles, coupled with a passion for solving complex problems through AI.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for various applications.
• Preprocess, clean, and analyze large datasets to extract meaningful insights and prepare them for model training.
• Evaluate and optimize the performance of AI models using appropriate metrics and techniques.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research and technologies.
• Develop and maintain robust, scalable, and efficient AI systems.
• Contribute to the entire AI development lifecycle, from conceptualization to deployment and monitoring.

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Must-Have Skills

• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI/ML workloads.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Good-to-Have Skills

• Experience with deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Knowledge of natural language processing (NLP) or computer vision techniques.
• Experience with MLOps practices and tools.
• Familiarity with big data technologies (e.g., Spark, Hadoop).
• Contributions to open-source AI projects.

Pay Rate/Salary

Competitive salary commensurate with experience and qualifications.

Number of Openings

1