November 17, 2024

RitePros

Portland

Data Scientist

Data Scientist with Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.
Job Duties and Responsibilities:

Define end-to-end machine learning pipeline for large scale technology products and deep technical products in distributed processing, real-time and scalable systems.
Develop solutions to business problems using the data science life cycle.
Develop and maintain data analytics solutions and machine learning algorithms.
Build and leverage new and existing tools for Natural Language Processing (NLP), and intelligent document processing tasks.
Design and Develop Spark applications in Python for streaming multi-modal data like text, images, videos for distributed machine learning training.
Design and Develop AWS Cloud deployment scripts using AWS Cloud Formation Templates, Terraform for deploying data and ML pipelines.
Develop a Proof of Concept for multiple intents to demonstrate conversational flow, responses from an embedded document, and generative AI (Chat GPT).
Fine tune applications and systems for high performance and higher volume throughput and Pre- Process using AWS Stack for data pre-processing.
Translate Load and exhibit unrelated data sets in various formats and sources like AVRO, Parquet, JSON, Text files, Kafka queues and Log Data.
Develop and implement Generative AI models, with a strong understanding of techniques such as GPT, T5, Stable Diffusion and BERT.
Drive excellent management skills to deliver complex projects, including effort/time estimation, to build detailed work breakdown structure (WBS), to manage critical path, and to use PM tools and Platforms.
Build Scalable Client engagement level processes for faster turnaround and higher accuracy.
Run regular Project reviews and Audits to ensure that projects are being executed within the guardrails agreed by all Stakeholders.
Manage the Client Stakeholders and their expectations with a regular cadence of weekly meetings and status updates.

Technologies / Environment involved:

Distributed storage: AWS Cloud Storage (S3), Azure HD Insight, Google Cloud (GCP)
Database management: Mongo DB, Cassandra, Postgres, Oracle, MS SQL Server, Redshift
Graph Processing: Neo4J
Machine learning: Spark Machine Learning Library (MLlib), Tensor Flow, Keras, Pytorch
Data processing: Spark, Hadoop Map Reduce, Kafka and Storm, Airflow, Spark-streaming
Programming Languages: Java, Scala, Python [REST Framework], Py Spark
Dev Ops Tools: Bit Bucket, Git, Apache Maven, Selenium, Jenkins, Docker

Work location is Portland, ME with required travel to client locations throughout USA.
Rite Pros is an equal opportunity employer (EOE).
Please Mail Resumes to:
Rite Pros, Inc.
565 Congress St, Suite # 305
Portland, ME - 04101.
E-Mail: resumes@ritepros.com