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AI/ML Architect
1 month ago
Role : Sr. AI Engineer
Location : Dallas , TX
Duration : Long term contract
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
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
- This is Individual contributor and client facing role. Possess experience in stakeholder management
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
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