Key Facts

Remote From:

Anywhere

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Reliability
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Communication
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Teamwork
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Problem Solving

Roles & Responsibilities

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
3+ years of experience in AI/ML model development and deployment.
Proficiency in Python, TensorFlow, PyTorch, scikit-learn, or similar frameworks.
Strong understanding of deep learning, neural networks, NLP, or computer vision.

Requirements:

Design and implement AI/ML models to support business objectives and innovation initiatives.
Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into applications and systems.
Deploy and monitor models in production environments using MLOps best practices.
Document model development processes, performance metrics, and deployment details.

OVA.Work

About OVA.Work

OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Since 2018, OVA has been raising the bar in the Human Capital Management Software Industry. Headquartered in Alpharetta, Georgia, We allow high-volume employers to create a seamless on-boarding experience with just a few clicks. Our E-boarding and candidate engagement tool will simplify employers Work life, eliminate Manual Processes, paper work, dropouts and delays and helps you keep track of employee progress, allowing new hires to get the most out of the on-boarding experience. Hire 80% faster and reduce your time and cost by 50% and improve the overall experience. We are proud to be the first company to put Powerful, easy to use on-boarding platform into the hands of startups, growing companies and enterprises alike. # New Hire On-board Smart with Technology: • Automated Intro Emails • Easy-Fill web Forms • Paperless, E-Signature-Enabled Processes • Personalized Portals • Track Employee Progress • Easy-to-use Notifications • Schedule Deadlines • Intuitive Dashboard • Centralized Employee Data • Submit Employee Verification Requirements • Payroll Integrations • Fully integrated System Reach us today to learn how ova.work can help you to enhance your New Hire On-boarding process to the next level.

Founded: 2018

Company size: 51 - 200

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Job description

Job Title: AI Engineer

Location: Remote
Employment Type: Full-time

About the Role:

We are seeking a highly skilled AI Engineer to design, develop, and deploy artificial intelligence and machine learning solutions that solve real-world business challenges. The ideal candidate will have strong expertise in machine learning algorithms, natural language processing (NLP), computer vision, and deep learning frameworks.

Key Responsibilities:

Design and implement AI/ML models to support business objectives and innovation initiatives.
Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into applications and systems.
Collect, preprocess, and analyze structured and unstructured datasets.
Develop and optimize models for performance, scalability, and reliability.
Stay current with advancements in AI research, frameworks, and tools.
Deploy and monitor models in production environments using MLOps best practices.
Document model development processes, performance metrics, and deployment details.

Required Skills and Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
3+ years of experience in AI/ML model development and deployment.
Proficiency in Python, TensorFlow, PyTorch, scikit-learn, or similar frameworks.
Strong understanding of deep learning, neural networks, NLP, or computer vision.
Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
Knowledge of data engineering principles, including data pipelines and feature engineering.
Excellent problem-solving and communication skills.

Preferred Qualifications:

Experience with LLMs (Large Language Models) and Generative AI tools (e.g., OpenAI, Hugging Face, LangChain).
Familiarity with vector databases, prompt engineering, and model fine-tuning.
Exposure to AI ethics, model interpretability, and responsible AI practices.