Softcrylic - Senior Data Scientist - AI

Who We Are?

For more than 20 years, we have been working with organizations large and small to help solve business challenges through technology.

We bring a unique combination of engineering and strategy to Make Data Work for organizations.

Our clients range from the travel and leisure industry to publishing, retail and banking.

The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.

In our quest to solve data challenges for our clients, we work with large enterprise, cloud based and marketing technology suites.

We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data driven business.

Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways!.

Why Work at Softcrylic?

Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.

Job Description:

Looking for Sr AI Analysts with a strong understanding on AI technologies, and ideally, hands-on experience with Adobe Sensei.

This role will assist in trailing Adobe AI software, documenting outputs, exploring AI applications, and contributing to the training and optimization of large language models (LLMs).

This role will play a critical role in shaping AI-driven solutions and ensuring their successful implementation within our client environment.

Responsibilities:

- Assist in trailing Adobe AI software, including Adobe Sensei, to evaluate its capabilities and potential applications.

- Strong understanding of Artificial Intelligence concepts, tools, and frameworks.

- Familiarity with large language models (LLMs) and their training processes.

- Support the integration of AI solutions into workflows and systems.

- Proficiency in data analysis.

- Document and analyze outputs to assess the effectiveness of AI solutions.

- Provide recommendations on the adoption and integration of AI tools based on trial results.

- Research and identify AI applications available for use within the client environment.

- Provide training and guidance to internal teams on the use of AI tools and applications.\