At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
We are seeking a highly motivated individual who can work for the priorities of ART – AI Assisted Engineering team. The individual will be responsible for contributing to multiple advanced and disruptive technology projects with different stakeholders around the globe by adhering to Collins project execution practices. The individual will also be responsible for guiding the teams towards delivering successful AI solutions Proof of Concepts, Solution deployment, Technology Demonstrators and New Product Development.
We are also looking for a candidate to have hands on experience in AI/ML technology development. The candidate should have a strong background in developing Gen AI applications and should have a good knowledge of processing structured and unstructured data. The candidate needs to be an active communicator and good team player.
Responsibilities & Duties:
Develop projects to ensure maximum performance, providing purpose, direction, and motivation towards developing AI/ML applications.
Participate and support on project activities such as requirements definition, architecture design, technology stack selection, development & deployment.
Identifying relevant AI/Gen AI technologies that can be leveraged for the use cases and build confidence with the customer early in the project through preliminary & critical design reviews.
Participate in appropriate client stakeholder’s reviews, providing day-to-day contact on project status and changes.
Key Competencies & Skillsets:
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Strong Software Development experience with AI/ML and Gen AI applications developed for Cloud or Embedded platforms. Good hands-on experience in Python programming language.
Good experience with Cloud Services, MLOps & AIOps including model deployment, CI/CD, model monitoring, data/model versioning, scalability, and productionizing AI solutions. Additionally, prior experience in developing AI/ML software for Aerospace industry is a plus.
Hands-on experience with Computer Vision technologies such as image classification, object detection, image segmentation, image processing, feature extraction.
Experience with OCR and intelligent document processing, including text detection, text recognition, document classification, information/entity extraction, document understanding, and processing of structured and unstructured documents.
Strong experience with at least one of the domains – Computer Vision, Natural Language Processing, Data Analytics, with a reasonable understanding of the other two domains. Prior Experience in Generative AI & Agentic AI including prompt engineering, RAG, AI Agents, model evaluation and integration of foundation models/APIs.
Demonstrated strong interpersonal skills for influencing without authority.
Ability to communicate clearly and well, both verbally and in written form, developing strong partnerships across functions to drive measurable operational results.
Strong focus on quality and ability to navigate through company specific processes.
Ability to ensure alignment across multiple stakeholders both internally across several business units, and externally with third parties.
Excels in a fast-paced environment with high degree of accountability.
Diligent, disciplined, flexible, reliable, and strives for highest quality output.
Minimum:
B Tech. in Computer Science Engineering, Electronics & Communication Engineering or relevant field with a minimum experience of 4 years.
At least 4-5 years of technical leadership experience with teams working on AI/ML technologies.
Recommended:
Relevant AI/ML Certifications
Memberships in Industry Bodies related to AI/ML
Advanced degree/certification in AI/ML would be a plus.
Prior experience with Explainable AI (XAI), Responsible AI, AI model governance, AI security, and model performance evaluation is an advantage.
1, Experience with AI solutions frameworks like Tensorflow, Pytorch, LLM frameworks (LangChain, LangGraph, Hugging Face Transformers) and embedding models for semantic similarity and cross-reference validation.
2, Experience in LLM training, fine-tuning, optimization, and RAG workflows using vector DBs.
3, Experience in prompt engineering – designing, testing, and refining prompts for grammar/style checks, summarization, and rephrasing.
4, Experience applying model evaluation metrics (accuracy, precision, recall, F1) to improve performance and ensure reliable results.
5, Experience in document parsing & formatting validation – extracting font metadata (font type, size, style) from XML/PDF and enforcing template/branding rules.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
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