AI/ML Architect

Job Overview

About Altran Altran is the world leader in engineering and RD services. We offer our clients a unique value proposition to meet their transformation and innovation challenges. We support our clients, from concept through industrialization, to develop the products and services of tomorrow and have been working for more than 35 years with major players in many sectors automotive, aeronautics, space, defense naval, rail, infrastructure transportation, industrial consumer products, life sciences, communications, semiconductor electronics, software internet, finance public sector. Altran has more than 50,000 employees operating in over 30 countries. In April 2020, we became part of Capgemini, a global leader in consulting, digital transformation, technology and engineering services. Visit us at http . Position AIML Architect Location Ashburn, VA Duration 12+ months Detailed Job Description Development of applications that predicts failures in network service validation based on information about previous failues and defect correlation, and provides execution guarantee Participate and lead collaborative brainstorming sessions with customer and users Provide application design and documentation Develop Unit Test plans and execute unit test cases Develop Integration Test plans and perform integration tyesting Mentor less experienced team members Lead AI architecture in delivering value to our client. Architect, design, and implement large scale and enterprise grade AI solutions. Assess, estimate, and support opportunities or business development in our clients. Align business strategy, KPI, and AI use cases. Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects. Stay current with AIML trends and research. Be a thought leader in AI area. Prototype and conduct POC of AI solutions. Work within Travelers standards, processes, and protocols. MandateMust skills required Experience with data ETL and data analysis packages and workflows . Experience with machine learning using packages such as xgboost, sklearn, TensorFlow, etc. Experience with end-to-end data analysis, wrangling data via SQL or Python, to statistical modeling and hypothesizing Python Programming Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc. Good understanding of natural language processing, machine translation, language detection, etc. Understanding of cloud networking concepts. Familiarity with end to end machine learning (ML) platforms such as SageMaker. Development in Unix environment Knowledge of Git, JIRA, Zephyr SAFeAgile development process Strong written and verbal communication skills This company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.