| C2C - Data Scientist with Deep Learning and Graph Algorithms - REMOTE at Remote, Remote, USA |
| Email: [email protected] |
| Dear Vendors Please share resumes for below Req Job Title: Data Scientist with Deep Learning and Graph Algorithms Location: Remote Job Description: We are seeking a highly skilled and motivated Data Scientist with expertise in Deep Learning, Graph Algorithms, and Big Data technologies to join our remote team. The ideal candidate will have a strong background in applying machine learning techniques, working with large datasets, and developing solutions for embedded systems. You will work on complex data science projects involving deep learning, graph algorithms, and big data environments such as Databricks and Snowflake. Key Responsibilities: Design and implement deep learning models and graph algorithms tailored for embedded systems and high-performance environments. Analyze large-scale datasets using Big Data technologies (e.g., Databricks, Snowflake) to uncover patterns and insights. Collaborate with cross-functional teams to define, design, and deploy data-driven solutions. Optimize machine learning models for performance and scalability in embedded spaces. Utilize tools and techniques for data mining, statistical analysis, and algorithm development. Drive the end-to-end data science process, including data collection, processing, model building, and deployment. Communicate findings and insights to both technical and non-technical stakeholders. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, or a related field. A Ph.D. is a plus. 5+ years of experience in data science, with a focus on deep learning and graph algorithms. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Keras. Proven experience with graph databases and graph processing frameworks (e.g., Neo4j, GraphX). Hands-on experience with Big Data technologies, including Databricks, Snowflake, and Apache Spark. Proficiency in Python and data science libraries such as Scikit-Learn, Pandas, NumPy. Familiarity with cloud platforms like AWS, Azure, or GCP for data processing and model deployment. Experience with ETL processes, data pipelines, and managing large, distributed datasets. Strong problem-solving skills and the ability to work independently in a remote environment. Preferred Qualifications: Experience working with embedded systems and optimizing ML models for constrained environments. Knowledge of NLP, computer vision, or reinforcement learning techniques. Familiarity with containerization tools like Docker and orchestration tools like Kubernetes. Experience with high-performance computing and parallel processing techniques. Regards, Rakesh Kumar VedaSoft Inc. www.vedasoftinc.com -- Keywords: machine learning information technology C2C - Data Scientist with Deep Learning and Graph Algorithms - REMOTE [email protected] |
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| Wed Oct 09 21:35:00 UTC 2024 |