We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

R&D Engineer (GEN AI/ ML)

Pune, INScore 55/1005d ago
Market insights
📊 DevOps / SRE: salaries and demand on the market
Stack
agilec#c++ci/cdgitjenkinspythonteamcity
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Job Summary UBISOFT is seeking an Intermediate R&D Engineer to prototype and validate new technologies that improve game testing and quality control. This role focuses on building rapid prototypes and running experiments using GenAI, VLMs (Vision-Language Models), and AI/ML to explore automation opportunities across QC. You will work closely with the R&D Manager and cross-functional partners to translate ideas into measurable experiments, evaluate feasibility, and iterate toward proof-of-value prototypes. This role provides an excellent opportunity to gain hands-on experience in software development, automation, and quality control processes within the gaming industry. Job Duties / Responsibilities Core Responsibilities Build rapid prototypes using GenAI/VLM/ML to address QC and testing pain points. Design and execute experiments: define hypotheses, datasets/inputs, evaluation criteria, baselines, and success metrics (accuracy, precision/recall, latency, cost, robustness). Implement data pipelines for experiments: data collection, cleaning, labeling support, and dataset versioning (as needed for proofs-of-concept). Explore and compare approaches and document trade-offs. Integrate prototypes with existing internal tools/test systems at a lightweight level (APIs, CLIs, plugins) to enable user trials and feedback. Analyze experiment results, identify failure modes, and iterate quickly based on findings and stakeholder input. Maintain reproducible research practices: experiment t
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs