So, whats the role all about?
Were looking for a talented and motivated Senior Automation Engineer to join our Analytics & Automation team in Pune. If you thrive in a fast-paced environment, love building robust automation frameworks, and enjoy collaborating across Data Science, DevOps, and Product teamsthis role is for you.
Youll be at the forefront of validating ML/AI-driven models, containerized applications, and enterprise-scale data systems. Youll help us fight financial crime by ensuring our solutions are scalable, reliable, and high-performing.
How will you make an impact?
Youll work with cutting-edge technologies and contribute to the delivery of high-quality analytics platforms. Your work will directly impact the accuracy and stability of ML models used to detect fraud, money laundering, and compliance violations.
Heres what youll be doing:
Have you got what it takes?
Bonus points if you have:
Whats in it for you?
Join an ever-growing, market disrupting, global company where the teams comprised of the best of the best work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 8569
Reporting into: Tech Manager
Role Type: Individual Contributor

Keyskills: continuous integration kubernetes analytical data testing scala ci/cd numpy sql gcp devops debugging actimize etl communication skills ml agile methodology cd python microsoft azure pandas automation engineering saas collaboration quality assurance data handling aws