We are seeking a highly skilled and motivated Project Manager to join our team. The ideal candidate will have a proven track record in managing projects from initiation to completion, with strong leadership and communication skills. The candidate should be adept at coordinating cross-functional teams, managing budgets, and ensuring that all project deliverables meet quality standards. A background in [specific industry or field] is preferred, along with proficiency in project management methodologies and tools. Drive the product and business-planning process across cross-functional teams of the organization. Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective. Assess current competitor offerings, seeking opportunities for differentiation. Analyze product requirements and develop appropriate programs to ensure they re successfully achieved. Develop, implement, and maintain production timelines across multiple departments. Appraise new product ideas and strategize appropriate to-market plans. Understand the product market and Set pricing to meet revenue and profitability goals. Responsibilities Drive the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch. Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams. Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI. Analyze market data to develop sales strategies, and define product objectives for effective marketing communications plans. Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization. Develop product positioning and messaging that differentiates our organization and its features across primary market segments. Deliver MRDs and PRDs with prioritized features and corresponding justification. Work with external third parties to assess partnerships and licensing opportunities. I agree to the Terms of Service and Privacy Policy TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.

We are looking for an experienced and high-energy ML Ops Engineer. The primary function of this role is to design enterprise architecture. Envision and drive solution architecture after hearing the product s vision and user stories with ability to envision and drive a proactive architectural roadmap for an existing product keeping in mind the future requirements. Requirements Experience building end-to-end systems as a Platform Engineer, MLOps Engineer, or Data Engineer (or equivalent). Hands-on expertise in Python and ML frameworks. Expertise with Linux administration. Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open source tools. Experience developing with containers and Kubernetes in cloud computing environments. Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.). Ability to translate business needs to technical requirements. Strong understanding of software testing, benchmarking, and continuous integration. Exposure to machine learning methodology and best practices. Experience with Prometheus and Grafana integrations for highly scalable environments. Responsibilities Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning systems. I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.