Dice
Data Scientist / Machine Learning
Dice, Little Ferry, New Jersey, us, 07643
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Data Wave Technologies Inc, is seeking the following. Apply via Dice today!Job Title: Machine Learning Engineer
Location: Remote
Duration: Long term
Tax Term: W2
Job Description:
Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare.Write efficient, maintainable, and scalable Python code tailored to specific business needs.Build high-performance, multi-tenant deployment architectures, and sophisticated model monitoring systems.Directly engage with internal stakeholders to incorporate feedback and refine the ML-driven products through quick iteration cycles.Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models.Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices.Minimum Qualifications:
Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience).At least 5+ years of relevant experience as an MLOps Engineer.At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context.Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.Proficiency in data science tools such as Pandas, Notebooks, Numpy, and Scipy.Demonstrable experience with both relational and non-relational databases.Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.Comfortable with a Linux environment and stringent data security practices.Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.Fluent in English communication, both written and spoken.Required Skills:
Natural Language Processing (NLP).TensorFlow or PyTorch.Pandas, Scipy, or Numpy.Data Scientist / Machine Learning
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Location: Remote
Duration: Long term
Tax Term: W2
Job Description:
Rapidly develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare.Write efficient, maintainable, and scalable Python code tailored to specific business needs.Build high-performance, multi-tenant deployment architectures, and sophisticated model monitoring systems.Directly engage with internal stakeholders to incorporate feedback and refine the ML-driven products through quick iteration cycles.Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models.Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices.Minimum Qualifications:
Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience).At least 5+ years of relevant experience as an MLOps Engineer.At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context.Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.Proficiency in data science tools such as Pandas, Notebooks, Numpy, and Scipy.Demonstrable experience with both relational and non-relational databases.Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.Comfortable with a Linux environment and stringent data security practices.Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.Fluent in English communication, both written and spoken.Required Skills:
Natural Language Processing (NLP).TensorFlow or PyTorch.Pandas, Scipy, or Numpy.Data Scientist / Machine Learning
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