We are Omnissa!
The world is evolving fast, and organizations everywhere—from corporations to schools—are under immense pressure to provide flexible, work-from-anywhere solutions. They need IT infrastructure that empowers employees and customers to access applications from any device, on any cloud, all while maintaining top-tier security. That’s where Omnissa comes in.
The Omnissa Platform is the first AI-driven digital work platform that enables smart, seamless and secure work experiences from anywhere. It uniquely integrates multiple industry-leading solutions including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance through common data, identity, administration, and automation services. Built on the vision of autonomous workspaces - self configuring, self-healing, and self-securing - Omnissa continuously adapts to the way people work; delivering personalized and engaging employee experiences, while optimizing security, IT operations and costs. we're experiencing rapid growth—and this is just the beginning of our journey!
At Omnissa, we’re driven by a shared mission to maximize value for our customers. Our five Core Values guide us: Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—all with the aim of achieving shared success for our clients and our team. As a global private company with over 4,000 employees, we’re always looking for passionate, talented individuals to join us. If you're ready to make an impact and help shape the future of work, we’d love to hear from you!
What is the opportunity?
Responsibilities
As a Staff Engineer–I / SMTS you will be responsible for statistical machine learning, deep learning, data mining, data analysis, information retrieval, optimization algorithms.. Here is a breakdown:
What will you bring to Omnissa?
Location: Bengaluru, India
Location Type: Hybrid This role offers a balanced arrangement, with the expectation of working 3 days a week in our local office and the flexibility to work from home for the remaining days. It is essential that you reside within a reasonable commuting distance of the office location for the in-office workdays.
Travel Expectations: 10% of travel Domestic/International only if business demands.
What is the leadership like for this role? What is the structure and culture of the team like?
This role reports to the Senior Director of “Data Science and Machine Learning”. The team is based in Bengaluru, Bulgaria and US and the expectation is to grow the Bengaluru team over time. We are a close-knit team with deep experience in ML and work closely with our counterparts in all three regions.
Omnissa Industry Recognition And Awards
Omnissa’s Commitment To Diversity & Inclusion
Omnissa is committed to continuing their mission to build a diverse and inclusive workforce that reflects the communities we serve across the globe. Fostering inclusiveness is one of our key values, that acts as a bedrock of our operational model and culture.
Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with local law.
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