What are the responsibilities and job description for the AI Architect position at Maya Tech Solutions LLC?
Role : Sr. AI Engineer
Location : Dallas , TX(Hybrid)
Duration : Long term contract
Responsibilities:
Design, develop, and deploy AI solutions to extract insights from large datasets
Work with stakeholders to identify key business problems and determine how AI can address them
Implement and optimize machine learning models and algorithms
Collaborate with data engineers to ensure data pipelines are robust and scalable
Create dashboards and reports to communicate findings to business stakeholders
Stay up-to-date with the latest AI trends and technologies to continually enhance solution offerings
Preferred Qualifications:
Bachelor's Degree in IT, Computer Science or related field
Certifications: Relevant certifications in AI/ML or cloud computing
Experience in a domain-specific AI application (Restaurant or Payment or Loyalty or Surveys)
Microsoft Certified: Azure AI Engineer Associate
Must-have Skills:
Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn)
Experience with Data Processing: Hands-on experience with Data bricks (6 Months) related to data cleaning, preprocessing, and feature engineering
Cloud Platforms: Must have experience with Microsoft Azure Cloud (6 months)
Overall Cloud platform experience 2 Years
Machine Learning Models: Experience in training, fine-tuning, and deploying machine learning models
Natural Language Processing (NLP): Expertise in NLP techniques and libraries (e.g., NLTK, SpaCy, transformers)
Large Language Models (LLMs): Familiarity with integrating and fine-tuning LLMs
SQL/NoSQL Databases: Strong experience with databases and data retrieval Should know working on NoSQL AND SQL
Good-to-have Skills:
Vector Databases: Experience working with vector databases for semantic search and similarity matching
Containerization: Experience with containerization technologies like Docker and Kubernetes
Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop)
AI Ethics and Fairness: Understanding of ethical considerations and best practices in AI
Important: Data Visualization:
Ability to create meaningful visualizations to communicate insights (e.g., using tools like Power BI, Tableau, Matplotlib, Seaborn)
Problem-solving Skills: Excellent analytical and problem-solving abilities
Communication Skills: Strong written and verbal communication skills to convey technical concepts to non-technical stakeholders
The candidate is expected to comply with the company's policies and procedures