Job Title: ML Engineer Location: Dallas, TX (0nsite for 7 weeks training than remote) Duration: Fulltime Interview: Inperson Job Description-: Onsite Requirement: Training: You will have a ~7-week in-person training focusing on ISNetworld functionality followed by a role specific training virtually. During this time, certain days may be deemed ok for remote learning as directed by the Training Team and Management. Ongoing: 1-2 in-person engagement required quarterly (team collaboration day, ISN events, team events, performance reviews, etc.). Key Details: 2+ years of professional experience in data science or a related field. Direct experience with Azure ML model development and deployment. Successfully deployed at least 1 project into a production environment. Proficiency in programming languages used in machine learning such as Python. Screening Questions: Please attach the response document under the cover letter option in greenhouse. Do you have at least 1 year of professional experience in Azure ML model development and deployment? a.If no Auto Reject b. If yes Candidate to answer Question 2 Please describe a project where you successfully deployed a model into a production environment? What were the key challenges and how did you overcome them? The Senior Data Analyst will serve as the primary developer of Machine Leaning (ML) and Artificial Intelligence (AI) models using Microsoft Azure platform and services. This position will serve as an internal consultant, collaborating across teams, using modern automation and Machine Learning technology to enhance business processes and analysis. Deliverables will include development and deployment of automation processes and Machine Learning models via Azure platform, collaboration with Software Engineering teams for model integrations for website, and presentation of impactful data narratives to internal and external customers. The position will also research new tools and technology and maintain an understanding of rapidly evolving AI/ML ecosystem to implement best practices for Data Science processes. Duties & Responsibilities Specific duties and responsibilities include: Collaborate with business stakeholders and data scientists and to identify and prioritize AI/ML use cases Understand business use cases/functionality and recommend and develop appropriate solution in Azure ML platform Develop, maintain, and improve the CI/CD framework for large scale model testing, evaluation, and optimization Assist with process development for document based and web-based data extraction and natural language processing (NLP) Participate in researching large language models (LLMs) and its applications for ISN data Develop novel solutions for automation using AI/ML technology and other new advancements in the field Use data technology skills to gather and understand large data sets Present summarized procedures, results, and business recommendations Mentor new hires in the team and provide guidance on associated projects Support and participate in the organization's Continual Improvement Program to conform to ISO 9001 and ISO 27001 requirements by complying with the Quality Policy procedures and meeting QMS and ISMS objectives All employees have a professional duty to provide any information related to security issues, incidents or situations that present a potential security risk to the ISO Team, ISN Management or their Supervisor Other tasks and projects as directed by management Education and Training Graduate degree (Master's or above) in Data Science, Computer Science, Management Information Systems, Applied Statistics or related quantitative field from an accredited university and/or equivalent work experience Knowledge and Skills 1+ year work experience specific to model development and deployment in Azure ML platform (CI/CD) 2+ years of work experience related to Data Science or and/or engineering preferred Work experience with at least one of the following areas of ML: computer vision, semantic analysis, document processing and/or speech analysis Proficient in Azure ML Studio functionalities, MLOps pipeline and computational programming (Python, C++ etc.) Well versed with API management and integration with data sources in Azure ML Exposure to related Azure Services such as Azure AI, Data Factory etc. preferred Experience in supervised & unsupervised learning, deep learning, reinforcement learning, time series forecasting, Bayesian statistics, and optimization Ability to manage and manipulate large data sets Ability to interpret data and iterate approaches to identify best ML solutions Demonstrate ownership and responsibility of projects with adequate research skills Demonstrate commitment to continuous learning and development of problem-solving skills Desire to succeed and assume increasing levels of leadership responsibility Ability to work well in a fast-paced environment with excellent verbal and written communication skills