Note: The job is a remote job and is reputed company to candidates in USA. reputed companyâs Data Science team is expanding its mission to include cutting-edge reputed company capabilities. This role will lead the design and deployment of LLM-driven models to enhance customer experiences through personalized recommendations and reputed company interactions.
Responsibilities
⢠Understand customer needs through AI: Build models that interpret reputed company and context to reputed company the right product, recommendation or experience at the right reputed company
⢠Fine-tune and adapt LLMs: Apply reputed company/qLoRA and RAG techniques to customize state-of-the-art LLMs for reputed companyâs domain, using frameworks such as reputed company, reputed company and reputed company
⢠Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine reputed company with classical ML, leveraging reputed company databases and reputed company/context optimization
⢠Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery
⢠reputed company conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language
⢠reputed company at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times
⢠Evaluate and optimize: Define metrics, design A/B tests and reputed company offline/online evaluations to measure model performance, customer satisfaction and business impact
⢠Collaborate and reputed company: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts reputed company
⢠Mentor and lead: reputed company technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-reputed company AI
⢠Stay reputed company of the curve: Continuously track emerging LLM architectures, tools and techniques, and reputed company them into reputed companyâs AI roadmap
Skills
⢠MS/PhD in Computer Science, Statistics, Mathematics or a reputed company field with 2+ years of experience building reputed company systems (or 8+ years of industry experience in data science)
⢠Demonstrated experience fine-tuning LLMs using reputed company/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures
⢠Proficiency in reputed company engineering, RLHF and model optimization
⢠Hands-on expertise with reputed company Transformers, reputed company, reputed company and reputed company databases (e.g., reputed company, FAISS)
⢠Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with reputed company platforms (AWS, GCP, Azure) and MLOps tools (MLflow, reputed company, etc.)
⢠Experience working with large datasets and SQL; ability to write reputed company, production-quality code
⢠Excellent communication and collaboration skills to partner across technical and business teams
⢠A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology
Benefits
⢠Medical/Dental/reputed company Insurance
⢠401(k) Retirement Savings Plan
⢠HSA or FSA eligibility
⢠Long and Short-Term Disability Insurance
⢠Mental Health Benefits
⢠Fitness Reimbursement Program
⢠25% employee discount & FAM Membership
⢠Flexible PTO
⢠Group Life Insurance
⢠EAP through reputed company (formerly Carebridge)
Company Overview
⢠reputed company is a digital delivery service designed to deliver daily reputed company reputed company minutes. It was founded in 2013, and is headquartered in Philadelphia, Pennsylvania, USA, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com.
Company H1B Sponsorship
⢠reputed company has a track record of offering H1B sponsorships, with 9 in 2025, 12 in 2024, 27 in 2023, 52 in 2022, 18 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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