Responsibilities –
- Drive new product developments, product enhancements, customer deliverables or
internal projects.
Ensure success of key account deliverables by being the bridge between business requirementsand Netra dyne engineering.
Respond to the technical questionnaire for large prospect RFPs.Communicate extensively with key customer account stakeholders (business and technical) andinternal stakeholders (Engineering, Operations, Business) via all modes and all geographies.
Identify and proactively remove any potential roadblocks to customer success.Use interpersonal skills to develop strong internal and external relationships, and leverage thoseto improve collaboration.
Provide regular and proactive updates to Netra dyne Senior Management on Program progress.Understand technical requirements from customer and / or partner, and identify potentialarchitectural solutions to achieve the same, given knowledge of Netra dyne product architecture.
Collaborate internally to conclude on the architecture as necessary.Develop deep understanding of Netra dyne Product and Architecture. Be the SME on publishedand unpublished product functionalities.
Apply statistical & machine learning expertise to map requirements to key metrics and targets(even though they aren't explicitly communicated by stakeholders).
Manage project schedule by taking the nuanced / iterative nature of machine learning projectlifecycle into account.
Manage data annotation aspects including quality, productivity and logistics.Communicate with internal and external stakeholders on the schedule and quality of the machinelearning projects.
Essential Skills
At least 12+ years of prior hands-on experience with developing, testing and releasing scalablesoftware projects, experience in managing AI / ML Programs will be an added advantage.
At least 7+ years of experience managing and delivering high-quality software - SAAS, either as adevelopment manager, or a program / project manager or a product manager.
Strong knowledge of architectural designs related to Edge computing, Data Analytics – ETL and SAAS.Conversant with concepts related to AI / Machine Learning / Python – Pytorch / Databases / APIs /Webbooks / Scalable Servers / Technical Feasibility / Public Cloud.
Ability to lead complex programs independently under extreme tight deadlines and aggressive time to market schedules.Prior experience working with teams and stakeholders in multiple geographies.Ability to lead without authority and prioritize effectively in ambiguous situations.Ability to develop strong working relationships with all stakeholders.Strong communication skills - verbal and written.Excellent understanding of software development lifecycle (SDLC).Reasonable understanding of product and cloud security.Exceptional organizational skills and attention to detail.Coach engineers, Product Managers and leads on effective processes and best practices, including Agile development processesQualifications And Education Requirements
BTech / MTech in Computer Science or a related field.PMP / CSM / SAFE / AWS – Certifications are an added advantageSkills Required
Pytorch, Python, Aws