Machine Learning Engineer specializing in large language models for John Snow Labs. Working on AI model training and optimization for healthcare applications in a fully remote setting.
About the role
- VP Analyst providing strategic guidance and insights on AI infrastructure for Gartner clients. Engaging senior IT leaders and facilitating enterprise AI adoption through innovative content.
Responsibilities
- Create innovative, thought provoking, and highly leveraged “must-have insight” content
- Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act
- Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward
- Demonstrate thought leadership in establishing insight positions across a team of analysts
- Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda
- Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights
- Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions
- Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings
- Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business
- Provide high quality and timely content peer review
- Build credibility as an industry expert to represent Gartner insights, methodology and strategy
- Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community
- Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery
- Be a mentor and a coach by supporting more junior team members
- Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions
Requirements
- Bachelor's degree or equivalent experience; Graduate degree preferred
- 15+ years of industry experience with a focus on emerging technology and business adoption scenarios to senior IT leaders.
- Deep expertise in one or more of the following: AI-optimized data center technologies; AI servers and AI Factory architectures; GPUs, ASICs and AI accelerators; Cloud and as-a-Services AI infrastructure (Such as AWS, Azure, Coreweave, Nebius); AI infrastructure frameworks, such as operating systems, resource managers, and AI runtimes.
- Knowledge of major and emerging vendors with the potential to disrupt the market.
- Technical understanding of supercomputing approaches.
- Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders
- Strong organizational skills; ability to work under tight deadlines and produce high quality deliverables
- Demonstrate excellence in research and writing ability
- Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions
- Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges
- Strong communicator who is able to explain complex concepts concisely and simply
- Subject matter expert comfortable presenting at large and small-scale speaking engagements
- Strong business and financial acumen
- Deep knowledge of the global and competitive landscape within subject area as well as the interplay in that market
- Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team
- Learning agile and adept with navigating highly matrixed environments
- Ability to represent Gartner's research methodology and strategies effectively at all levels
- Willingness and ability to travel up to 25% (where applicable)
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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