Experienced Full Stack Data Scientist – Generative AI and Machine Learning Solutions

Are you a highly skilled data scientist with a passion for generative AI and machine learning? Do you have a strong background in natural language processing, multimodal, and image generation? Are you looking for a challenging and rewarding role that will allow you to leverage your expertise to drive innovation and growth? Look no further! careerzynith is seeking an experienced full stack data scientist to join our team as a Generative AI Data Scientist.

About careerzynith

careerzynith is a leading provider of cloud-based solutions for machine learning and AI. We are dedicated to helping our clients unlock the full potential of their data and drive business growth through innovation and collaboration. Our team of experts is passionate about delivering cutting-edge solutions that meet the evolving needs of our clients.

Job Responsibilities

As a Generative AI Data Scientist at careerzynith, you will be responsible for designing and implementing solutions that leverage our generative AI offerings. You will work closely with clients, partners, and internal teams to understand their needs and develop tailored solutions that meet their requirements. Your expertise will be critical in driving the adoption of Amazon Web Services (AWS) for machine learning and AI platforms.

Key Responsibilities:

* Customer Advisor: Implement and install the latest system learning algorithms under Gen AI. You will build prototypes, proof-of-concepts, and discover new solutions. You will interact closely with our clients and with the academic network.

• Thought Leadership: Evangelize AWS GenAI offerings and share best practices through boards including AWS blogs, white papers, reference architectures, and public-speaking events such as AWS Summit, AWS re: Invent, etc.
• Partner with SAS, Sales, Business Development, and the AI/ML Service groups to boost client adoption and provide guidance on their client engagements.
• Act as a technical liaison between clients and the AWS SageMaker services teams to offer client-driven product development feedback.
• Develop and support an AWS internal network of ML-related challenges to be counted as professionals worldwide. Create area enablement materials for the wider SA population, to help them understand how to combine Amazon Web Services GenAI solutions into client architectures.

Essential Qualifications:

* 2+ years of data scientist experience

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of system learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Master's degree in a quantitative field including statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 2+ years experience studying and applying big language and generative AI models
• Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding

Preferred Qualifications:

* Active in the open source network, including HuggingFace, StableDiffusion, etc

• Large models pre-train/fine-tuning experience, familiar with distributed training
• Customers go through abilities to represent AWS properly in the client's environment and pressure discussions with senior employees concerning trade-offs, best practices, and risk mitigation. Should be able to interact with Chief Data Science Officers, Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations.
• Demonstrated ability to think strategically about business, product, and technical challenges in an organization's environment. Track record of concept management and innovation around Machine Learning.
• Experience with LangChain, LLAMAIndex, Foundation version tuning, Data Augmentation, and Performance Evaluation frameworks
• Led a cloud initiative as an AWS client or consulting with a client of their own IT transformation.

Benefits

careerzynith offers a comprehensive benefits package that includes:

• Competitive salary
• Comprehensive health insurance plan
• 401(k) plan with company match
• Paid time off and holidays
• Employee discount program
• Access to cutting-edge technology and tools
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

How to Apply

If you are a highly skilled data scientist with a passion for generative AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are the ideal candidate for this role. We look forward to hearing from you! Apply for this job