Big Data • Decision Science • Predictive Analytics • Machine Learning • Consulting
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
December 3
🇺🇸 United States – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
Big Data • Decision Science • Predictive Analytics • Machine Learning • Consulting
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
• Lead solution architecture and engineering of projects focused on building LLM-powered enterprise applications • Be responsible for the successful delivery of engineering milestones • Seamlessly work in a highly collaborative environment by interacting with external stakeholders • Help establish standards in machine learning and statistical analysis • Facilitate effective collaboration of cross-functional teams to understand requirements and implement solutions.
• Intellectual curiosity, elite hacking skills and demonstrated track-record of productionizing deep learning research for enterprise applications • Deep technical experience in working with atleast one Frontier Model such as OpenAI GPT, Gemini or Anthropic and quantitative understanding of their strengths/weaknesses over open-weights models • Strong understanding of LLM pre-training, post-training, evaluation and model quantization • Familiarity with prompt engineering and agentic frameworks such as Crew AI, LangGraph • Good to have hands-on experience of building advanced retrieval augmented generation (RAG) architecture, preferably for a custom domain such as Healthcare, Telecom, Finance or Manufacturing • Good to have a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related field
• Be part of a team and company that has won NVIDIA’s AI Services Partner of the Year three-times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs • Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication • Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI • Access to state-of-the-art GPU infrastructure on the cloud and on-premise • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
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