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- Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain.
- 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 Hugging Face Transformers.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Understanding of data modeling principles and complex data architectures.
- Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch).
- Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred).
- Knowledge of API development, containerization (Docker, 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 Hugging Face TransformersPreferred Qualifications
- MS in Data Science, Computer Science, Statistics, Machine Learning, or related field
- 2+ years of relevant work experience
- Or undergraduate degree in relevant field and 4+ years of relevant work experienceSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesSoftware Development and Data Infrastructure and AnalyticsReferrals increase your chances of interviewing at GraceMark Solutions by 2xSign in to set job alerts for "Data Scientist" roles.Azcapotzalco, Mexico City, Mexico 2 weeks agoDownstream Data Scientist - Relocate to Saudi ArabiaEngineer in Generative AI, Autonomous Agents and Big Data Jr.Miguel Hidalgo, Mexico City, Mexico 1 month agoJunior Software Engineer, Premium VehiclesWe're unlocking community knowledge in a new way.
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