AI/ML Architect

Job Description

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.Job Description AI-ML Technical Architect Roles and Responsibilities
• Lead the end-to-end architecture and development of machine learning solutions for Cyient s Customers across Comms, Transportation and Portfolio of sectors.
• Implement machine learning algorithms into services and pipelines to be consumed at web-scale.
• Implement test cases to automate testing of frontend and backend code.
• Responsible for understanding and implementing Deep Learning models for AI solutions, meeting development schedules and ensuring the delivered solution meets the technical specifications.
• Solid theoretical background in image processing, computer vision and machine learning
• Design, develop, and deliver AI/machine learning enabled solutions for specific industry problems.
• Build scalable, available, and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment
• Articulate problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, and experimentation with machine learning algorithms, deploying models.
• Develop working prototypes of algorithms and evaluate and compare metrics based on the real-world data sets
• Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation
• Use large data sets to find anomalies and using models to test the effectiveness of different courses of action.
• Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
• Work closely with Automation and Innovation Head in updating projects status to stakeholders as well as ensure Automation Governance compliance using appropriate tracking tool
.Skills Required
• Ability to think critically, question assumptions and devise solutions to challenging technical problems.
• Self-motivated, persevering and capable of working with minimal supervision.
• Solid teamwork and communication skills.
• Hands-on experience with one or more of the following technologies
  • Back end web-services: Python, Java, Spring Boot, Flask, Django, Kubernetes, Docker
  • Machine Learning: TensorFlow, Keras, Deep learning algorithms,
  • ML Technologies: NLP, Computer Vision, Model Management, Google Tesseract OCR
  • Big Data technologies: Kafka, Apache Spark, Hadoop
• Solid Experience architecting and developing AI and machine learning applications
• Experience in Computer vision, Deep learning for object detectionIn-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• 10 years of working experience; experience in leading a 10 members team with agile framework
• 5 - 8 Years of relevant professional experience is requiredDegree in applied math, statistics, machine learning or computer science. PhD/ MS is preferred
• Deep understanding of statistics and experience with machine learning algorithms/techniques.
• Proven programming skills, in particular C and Python, strong experience with DL frameworks such as TensorFlow, Theano and others
• Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks)
• Passion for solving challenging analytical problems
• Ability to quickly qualitatively and quantitatively assess a problem
• Ability to work productively with team members, identify and resolve tough issues in a collaborative manner.
• Experience in applying machine learning techniques to real-world problems in a production
• Strong collaborator and go getter with high level of ownership
• Experience in Engineering Services Domain will be added advantage
Education Requirements
• B.Sc., B. Tech, MTech or MS in Computer Science or related field.
• Certifications in ML, Deep Learning
Skills & ExperienceArtificial Intelligence Technologies, Docker (Software), IT Automation, Java, Kubernetes, Machine Learning Algorithms, OCR Software, PythonCyient is an Equal Opportunity Employer.Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.,

Keyskills :
computer visionfront endmachine learningcomputer sciencespring bootdeep learningapache sparktest casesimage processing