Company Description
Trantor is a leading enterprise technology solutions provider with expertise in cloud strategy, cloud-native development, AI/ML, and Security/Compliance. Since 2012, Trantor has been assisting enterprises globally with their digital transformations and business needs. The company focuses on leveraging AWS cloud services to help customers accelerate innovation, achieve operational excellence, and optimize costs. Trantor's intelligent automation solutions, built on analytics, automation, and AI, cater to various industries such as Fintech, Martech, E-commerce, and Captive Centers. Trantor fosters strong partnerships with top technology providers like AWS, Microsoft, Oracle, and Adobe.
Role Description
This is a full-time on-site Sr AI Engineer role located in the Dallas,TX area in a hybrid model. The Sr AI Engineer will be responsible for developing and implementing pattern recognition, neural networks, software development, and natural language processing (NLP) solutions on a day-to-day basis.
Qualifications
- Experience in Natural Language Processing (NLP)
- Advanced problem-solving skills
- Ability to work collaboratively in a team environment
- Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g.,
- TensorFlow, PyTorch, scikit-learn)
- Hands-on experience with Databricks related to data cleaning, preprocessing, and feature engineering
- Cloud Platforms: Must have experience with Microsoft Azure AI
- 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
- 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
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)