Senior Applied Scientist

AI in this role

databricks

ragcomputer-visionnlp

Overview:

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.

Responsibilities:

What You’ll Own

In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.

o Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
o Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
o Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
o Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
o Propose scenarios where AI techniques could improve the efficiency of the customer’s business.
o Provide pre-sales and post-sales technical support to the business development team.

Qualifications:

What We’re Looking For

M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
Minimum 8 years of experience in developing AI algorithms for various modalities
Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
Hands on experience with python for prototyping and implementing GenAI solutions
Expertise optimizing advanced RAG architectures and designing information retrieval system
Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
Understanding on the latest Agentic and RAG research and innovation areas
Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.

Ideally, you’ll also need
A highly curious and inquisitive approach to problem-solving
In-depth knowledge of the latest developments in AI and machine learning
Why Inception42

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

How we rate this

Senior Applied Scientist at G42 rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGComputer VisionNLPDatabricks

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used Databricks hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, Computer Vision, NLP, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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