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Data Science Engineer

Data Science Engineer

TechBulls SoftTech Pvt Ltd

0 - 4 years

0 Lacs

pune maharashtra

Posted:1 day ago| Platform: Shine logo

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Skills Required

nlp transformers kubernetes docker vms deep learning engineering mlops llm pyspark databricks python programming building backend applications deploying models building apis fast api flask api gpus vector databases milvus azure cognitive search quadrant hugging face models cloud experience azure storage sound data engineering

Work Mode

On-site

Job Type

Full Time

Job Description

As a Deep Learning Engineer, you will be responsible for the following: - Experience in Deep learning engineering, primarily focusing on MLOps. - Strong NLP/LLM experience, with the ability to process text using LLM. It is mandatory to have at least 6 months of experience in NLP. - Proficiency in Pyspark/Databricks & Python programming. - Building backend applications, including data processing, using Python and Deep learning frameworks. - Deployment of models and creation of APIS using technologies such as FAST API and FLASK API. - Knowledge and experience of working with GPUS is required. - Working knowledge of Vector databases like Milvus, azure cognitive search, quadrant, etc. Experience with any one of the vector databases will suffice. - Experience in transformers and working with hugging face models such as llama, Mixtral AI, and embedding models, among others. Experience with any one of the models will suffice. Qualifications Required: - Experience in Deep learning engineering, with a focus on MLOps. - Proficiency in NLP with at least 6 months of experience. - Proficient in Pyspark/Databricks & Python programming. - Experience in building backend applications using Python and Deep learning frameworks. - Ability to deploy models and build APIS using technologies like FAST API and FLASK API. - Knowledge of GPUS and experience working with them. - Familiarity with Vector databases like Milvus, azure cognitive search, quadrant, etc. - Experience with transformers and hugging face models such as llama, Mixtral AI, and embedding models. In addition to the mandatory skills, it would be beneficial to have the following: - Knowledge and experience in Kubernetes, docker, etc. - Cloud experience working with VMS and azure storage. - Sound data engineering experience.,

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Data Science Engineer