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Maintain Linux and Proxmox infrastructure, virtual machines, backups, and production systems for Neo Group’s local partner. Automate routine operations and coordinate infrastructure changes.
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कंपनी S&P Global Market Intelligence, S&P Global Ratings और S&P Dow Jones Indices सहित विभिन्न व्यवसायों के माध्यम से ये जानकारियाँ उपलब्ध कराती है। इसके डेटा-आधारित उत्पाद जटिल वैश्विक बाज़ारों में शोध, जोखिम विश्लेषण, बेंचमार्किंग और रणनीतिक योजना का समर्थन करते हैं।
Machine Learning Engineer, Kensho — S&P Global
Build production generative AI systems and retrieval-based agents for Kensho, using S&P Global financial data to ground large language model outputs. Develop scalable machine learning solutions from early exploration through deployment and monitoring.
विवरण
- Develop and deploy machine learning systems for complex business challenges and Kensho products
- Create retrieval-based AI agents that find, validate, and organize data from S&P datasets
- Assess LLM agents and improve performance, latency, memory use, compute efficiency, and feature consistency
- Work with proprietary structured and unstructured data alongside subject matter experts
- Scale and optimize machine learning systems for demand, resource efficiency, and dependable production operation
- Identify technical debt and recommend improvements to system reliability and maintainability
- Plan and deliver machine learning initiatives across Kensho products
- Partner with teams across Data, Product, Design, and Engineering
- Build machine learning features that improve user workflows
- Contribute throughout the machine learning lifecycle, from problem definition and data exploration to deployment and production monitoring
आवश्यकताएँ
- Bachelor’s degree or higher in computer science, engineering, or a related discipline
- At least three years of substantial hands-on industry experience in machine learning, natural language processing, and information retrieval
- Experience designing, launching, and maintaining production systems
- Strong Python skills
- Ability to understand SQL databases and write queries for specific access patterns
- Experience building machine learning pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation
- Experience with machine learning libraries or frameworks for orchestrating large language models, such as LangChain
- Experience with retrieval-augmented generation systems is preferred
- Effective coding, documentation, collaboration, and communication practices
- Strong problem-solving ability and a proactive mindset
- Ability to adapt to a fast-moving, changing work environment
लाभ
- Health coverage supporting mental and physical well-being
- Generous paid time off
- Ongoing learning and career development resources
- Competitive compensation
- Retirement planning
- Continuing education program
- Company-matched student loan contributions
- Financial wellness programs
- Family-friendly benefits and perks
- Retail discounts
- Referral incentive awards
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