Zacks Investment Research is hiring for the remote role of Machine Learning Engineer - Specializing in NLP & Generative AI. The details of the jobs, requirements and other information are given below:
NLP & Generative AI - Machine Learning Engineer
| Position | NLP & Generative AI - Machine Learning Engineer |
|---|---|
| Location | Remote |
| Employment Type | Full Time |
| Experience Level | Mid-level / Intermediate |
| Salary | USD 100K - 200K |
| Company | Zacks Investment Research |
| Company Website | https://www.zacksim.com/ |
| Company Linkedin Profile | https://www.linkedin.com/company/zacks-investment-management |
| Company Twitter Profile | https://twitter.com/zacksinvestmgmt |
Who We Are
Zacks Investment Research (ZIR) is a privately-owned 550 person Chicago-based firm, with a 40-year legacy of serving U.S. equity investors. Since its founding in 1978, as a provider of consensus EPS forecasts, Zacks has grown to become the 2nd largest provider of independent investment research in the U.S.
We are on a mission to redefine our interaction with financial data through AI-driven solutions.
What You’ll Do
As a key member of our Zacks AI team, you will drive innovations in NLP and Generative AI. Your expertise will play a crucial role as we expand our MVP chatbot, integrating more financial databases and adding layers of personalization to enhance user experience. You would constantly be experimenting with new prompting techniques, latest Gen AI frameworks, updating our solutions with the latest research, and ensuring our systems are enterprise-grade, efficient, and cost-effective.
Responsibilities
Experimentation & Research:
- Constantly experiment and iterate with different prompting techniques, ensuring our solutions are always aligned with the latest advancements.
- Regularly evaluate and test various Generative AI frameworks, adopting and integrating the most promising ones to enhance our solutions.
End-to-End Model Management:
- Handle the entire lifecycle of Generative AI models: from design, development, evaluation and deployment to monitoring and iterative improvement.
- Deep expertise in building and optimizing open-source large language models, with a focus on minimizing resource requirements for cost efficiency and enhanced performance.
Enterprise-Grade Deployment:
- Ensure solutions are scalable, reliable, and suitable for enterprise-grade deployments.
- Continuously monitor performance and drive necessary adjustments for optimal results.
Innovation & Strategy:
- Address challenges with original ideas and solutions.
- Stay updated with the latest trends and best practices in the Generative AI space and infuse our solutions with this knowledge.
You Bring
- A degree in Computer Science, AI, or a related field.
- A strong background in NLP and in-depth understanding of Generative AI challenges.
- Experience in deploying Generative AI solutions in enterprise environments.
- Proactiveness in recommending and integrating the latest tools and techniques.
- Expertise in building and optimizing open-source large language models.
- A solution-oriented mindset, able to tackle problems with innovative solutions.
- A passion for continuous learning and staying at the forefront of AI advancements.
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