AI Solutions Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Create and tailor AI-powered solutions to improve business workflows and automate various processes.

• Incorporate AI services from providers like Microsoft, OpenAI, and other prominent platforms into enterprise applications.

• Design, train, and refine AI models for predictive analytics, automation, and informed decision-making.

• Apply natural language processing (NLP), machine learning (ML), and automation models to enhance user experiences.

• Collaborate with business stakeholders and developers to identify AI integration requirements and solution specifications.

• Conduct data preprocessing, feature engineering, and optimization of AI models.

• Ensure that AI models are secure, scalable, and optimized for optimal performance.

• Keep abreast of the latest AI tools, frameworks, and industry best practices.

⛳️ Requirements

• 2-4 years of experience in AI engineering, machine learning models, and cloud-based AI services.

• Bachelor's degree in Computer Science, AI, Data Science, or a related discipline.

• Preferred: AI-related certifications such as Azure AI Engineer, AWS Machine Learning Specialty, or equivalent.

• Experience in sectors such as Oil & Gas, Healthcare, or Food & Beverage is advantageous.

• Familiarity with AI/ML frameworks and tools like LangChain, OpenAI, Azure AI, or similar.

• Proficiency in Python or R for the development of AI/ML models.

• Experience with cloud AI services such as Azure AI, AWS AI, or Google Cloud AI.

• Understanding of large language models (LLMs) and prompt engineering for AI-driven applications.

• Knowledge of Natural Language Processing (NLP) for text and conversation modeling.

• Data Engineering skills: SQL, Power Query, and ETL operations.

• Familiarity with Git, DevOps, and Agile methodologies.

🏝️ Benefits

• Fully remote position – must be available for the second shift to align with the US team until Noon CST.

• Initial 3-month probation period prior to full-time confirmation.

• If not already certified, candidates are required to complete certification during the probation period.

• Candidates will participate in a 45-60 minute TestGorilla assessment.