Data Scientist

Flexon Technologies Inc.; Pleasanton (CA); On-site; USD 114,000 - 242,000; Full time

Job summary

A leading tech company is seeking a Data Scientist to join their innovative team in Pleasanton, CA. In this role, you will leverage advanced machine learning and data analysis techniques on cutting-edge projects. Key responsibilities include designing ML algorithms, developing deep learning models, and collaborating with cross-functional teams to implement data-driven strategies.

Qualifications

• Proficiency in Python, SQL, and libraries like Pandas, NumPy.
• Deep knowledge of machine learning and deep learning algorithms.
• Experience with NLP and MLOps tools.

Responsibilities

• Design and implement machine learning algorithms.
• Develop deep learning models for image recognition and NLP.
• Perform exploratory data analysis and statistical testing.

Skills

Python

SQL

Machine Learning

Deep Learning

Statistical Methods

Natural Language Processing

MLOps

Docker

Kubernetes

Cloud Services

Job description

1 day ago Be among the first 25 applicants

We are looking for a highly skilled Data Scientist to join our innovative team! In this role, you'll work on cutting-edge projects, leveraging advanced machine learning, deep learning, and natural language processing (NLP) techniques. You’ll build, deploy, and optimize models, conduct statistical analysis, and help shape data-driven strategies.

Key Responsibilities:

• Design and implement machine learning algorithms, including regression, classification, clustering, and ensemble methods.
• Develop deep learning models with frameworks like TensorFlow and PyTorch for tasks like image recognition and NLP.
• Perform extensive exploratory data analysis (EDA) and statistical analysis, including A/B testing, hypothesis testing, and feature scaling.
• Utilize state-of-the-art transformer models and fine-tune them for specific tasks using techniques like LoRA, QLoRA, and PEFT.
• Build and manage MLOps pipelines for continuous integration, deployment, and monitoring.
• Work with large-scale data processing tools like PySpark and distributed systems.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable compute, storage, and model deployment.
• Containerize applications with Docker and orchestrate using Kubernetes.
• Explore and implement Generative AI techniques, including prompt engineering and retrieval-augmented generation (RAG).
• Collaborate with cross-functional teams to translate business needs into technical solutions.

Skills & Qualifications:

• Proficiency in Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, and Hugging Face.
• Deep knowledge of machine learning and deep learning algorithms.
• Experience with NLP, transformers, and sequence models.
• Familiarity with fine-tuning and parameter-efficient techniques (PEFT, LoRA, QLoRA).
• Hands-on experience with MLOps tools and practices.
• Strong understanding of statistical methods and experimental design.
• Experience with cloud services for AI/ML (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
• Proficiency in Docker, Kubernetes, and CI/CD tools.

Preferred Qualifications:

• Experience with vector databases and RAG techniques.
• Familiarity with reinforcement learning and generative adversarial networks (GANs).
• Exposure to time series analysis and anomaly detection.
• Knowledge of distributed computing frameworks like Ray or Dask.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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