Competencies Over 10 years of experience with some experience in small product companies in a hands-on technology mode as a Sales Engineer, Architect, etc. Excellent communication skills and ability to speak to both business and technical audiences. Technically strong around key engineering concepts like SaaS, Cloud Security, and Deployment models. Understanding of coding, especially around Microsoft architectures with a hands-on orientation. Willingness to work with remote teams and time flexibility, given engineering and delivery teams operate from India. Understanding Machine Learning and Process Automation is a strong positive. Based in the US and flexible to travel primarily across the United States (will need to travel occasionally to India for tech deep immersion). The ideal profile would be a BS in Computer Science (an advanced degree/courseware in ML or an MBA would be a bonus).

Requirement: Minimum of 5 years of design and development expertise in C#.NET, .Net Core, MVC, jQuery, Web APIs and REST Services. In-depth knowledge of MS SQL Server and database design. Proficiency in one of the front-end technologies like React.js/Vue.js. Good to have proficiency in Python and enthusiasm for leveraging Generative AI Knowledge in DevOps (CI/CD pipeline for automating build, testing and deployment process Good to have knowledge in any one of cloud technologies (AWS/Azure) Proficiency in creating and maintaining comprehensive technical documentation. Strong analytical skills for complex problem-solving and system integration

Required Qualifications Education Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience 3-5 years of hands-on experience in data science, with a focus on deep learning, NLP, and generative AI. Technical Skills Proficiency in programming language- Python is a must. Good to have C++ coding experience. Experience with machine learning frameworks such as TensorFlow and PyTorch. Strong knowledge of NLP libraries and tools such as Spacy, Hugging Face Transformers. Familiarity with generative models and techniques. Strong understanding of data wrangling and preprocessing techniques. Soft Skills Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Prior experience in a similar industry or domain. Knowledge of OCRs and image processing techniques is an add-on.

Competencies Over 10 years of experience with some experience in small product companies in a hands-on technology mode as a Sales Engineer, Architect, etc. Excellent communication skills and ability to speak to both business and technical audiences. Technically strong around key engineering concepts like SaaS, Cloud Security, and Deployment models. Understanding of coding, especially around Microsoft architectures with a hands-on orientation. Willingness to work with remote teams and time flexibility, given engineering and delivery teams operate from India. Understanding Machine Learning and Process Automation is a strong positive. Based in the US and flexible to travel primarily across the United States (will need to travel occasionally to India for tech deep immersion). The ideal profile would be a BS in Computer Science (an advanced degree/courseware in ML or an MBA would be a bonus).

Skills Required Technical Skills: Proficiency in CI/CD tools: Jenkins, Ansible, Chef or Puppet, and any top 2 Artifactory tools. Strong scripting skills: Python, Shell, etc. Experience with version control systems: SVN, Git. Familiarity with Cloud platforms: AWS, Azure, or Google Cloud. Certifications (Nice to Have): Relevant certifications such as AWS Certified DevOps Engineer, Microsoft Certified: Azure DevOps Engineer Expert, or others are a plus. Any 1 Cloud (Azure or AWS) DevOps Services. Communication: Excellent communication and interpersonal skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Problem-solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues.