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Sr. AI Engineer

2 months ago

Dallas, United States Trantor Full time

Summary:

We are looking for a Senior AI Engineer, a seasoned professional with over 7+ years of experience in AI/ML

engineering. The role primarily focuses on designing, developing, and deploying AI solutions to extract insights

from large datasets. Strong Python coding skills, expertise in AI/ML libraries, and proficiency with cloud platforms

(Microsoft Azure, AWS or GCP) are essential. The candidate should possess hands-on experience in data

processing, including data cleaning, preprocessing, and feature engineering. Additionally, expertise in NLP

techniques, large language models, and SQL/NoSQL databases is required.


Must-have Skills:

● Overall 7+ years experience in AI/ML engineering

● Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)

● Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering

● Cloud Platforms: Must have experience with Microsoft Azure

● Overall Cloud platform experience 3+ 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), (5 Years experience)

● Large Language Models (LLMs): Familiarity with integrating and fine-tuning LLMs, (6month+ experience)

● 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

● The candidate is expected to comply with the company's policies and procedures


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