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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

Hope you are doing good!!

We at Cerebra Consulting, Inc. have an exciting job opening with one of our clients. Please go through the job description below and if you are interested, share your update resume with contact details.

Position: GEN AI Data Scientist (only W2)

Location: Remote

Duration: 6-month contract

Looking:

Senior level data scientist

No specialization looking for more broad domain experience

Python

AWS

Databricks

LLM'S RAG

Vector

Job Description:

JD is below. But in real terms, you will be working on client's horizontal data consolidation platform One Data. The platform itself organizes data from both structured and un structed data from the enterprise. It has Gen AI functionalities primarily leveraging data bricks and sits in an AWS environment. What you would be responsible for is the personalization aspect of this platform, there are some requirements coming in that need more focused attention on specific sets of data, so new pipelines and models will have to be created.

JD for Data Scientist:

Advanced degree in Computer Science, Engineering, or other STEM field with minimum 2 years of industrial experience
Solid understanding of active and continuous learning methodology and machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning
Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy.
Experience with machine learning, deep learning, reinforcement learning
Experience with AI concepts related to RAG architecture, LLMs and Vector Datastores
Experience with cloud environments(AWS, Azure, Google Cloud Platform) and big data processing frameworks such as Spark.
Ability to learn by doing, to adapt to ever-changing requirements and have a bias for action and outcome
Strong written and verbal communication skills

Thanks,

Contact -: ext.-164

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