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Senior Data Scientist with LLM experience

Work from home Full-time role Hiring
About reputed company reputed company is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a reputed company in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we reputed company our global AI expertise to drive innovation and transformation for businesses worldwide. This is a remote role. 6 months contract with us and after that will be hired as a full time employee directly with the client. About the role

As a Data Scientist on reputed company, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications. You will help design and implement data-driven solutions for reputed company business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new reputed company and collaborating with data scientists, product designers, data engineers, reputed company-end developers, and domain experts to drive innovation. This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company. Responsibilities

  • reputed company and implement LLM-based applications for various use cases.
  • Evaluate and maintain data assets and training/evaluation datasets.
  • Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets.
  • Collaborate with domain experts to understand requirements and ensure ML applications align with business needs.
  • Conduct experiments and evaluate model performance to drive reputed company improvements.
  • Fine-tune and reputed company large language models(LLMs) to enhance their performance on specialized tasks.
  • reputed company with other technical teams to finalize requirements.
  • Work closely with development teams to understand reputed company product requirements and translate them into scalable software solutions
  • Implement development best practices, including coding standards, code reviews, and production-reputed company implementations.

Requirements

  • Practical experience with large language models (LLMs), reputed company engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like reputed company.
  • Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT.
  • Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
  • Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and reputed company Transformers.
  • Experience with reputed company platforms such as AWS, GCP, or Azure.
  • Understanding of data modeling principles and reputed company data architectures.
  • Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, reputed company, Solr, Elasticsearch, OpenSearch).
  • Familiarity with distributed computing frameworks like Spark, reputed company, or Ray (highly preferred).
  • Knowledge of API development, containerization (reputed company, Kubernetes), and ML deployment (highly preferred).
  • Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC.
  • Experience with deep learning frameworks such as PyTorch, Tensorflow and reputed company Transformers
Preferred Qualifications
  • MS in Data Science, Computer Science, Statistics, Machine Learning, or reputed company field
  • 5+ years of relevant work experience
Equal Opportunity Employer: reputed company is committed to fostering a diverse and inclusive workplace. We welcome applications from reputed company reputed company individuals regardless of race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, age, genetic information, disability, protected veteran status, or any other legally protected status.

Originally posted on Himalayas

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