Omnissa

Staff Engineer (Data Science)

Member of technical staff (Appsecurity, Pentesting)

As a Staff Engineer (Data Science) at Omnissa, you'll lead the design and development of advanced data science and machine learning models using various data types.  Responsibilities include building ML pipelines, leveraging technologies for data exploration and visualization, developing LLM and RAG-based solutions, optimizing LLM algorithms, and implementing prompt engineering strategies. You will mentor junior data scientists, collaborate with cross-functional teams, and stay updated on the latest ML/AI advancements.  A Masters/Doctorate in a relevant field and 10+ years of hands-on experience in statistical machine learning, deep learning, data mining, and LLMs are required.

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 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 &amp; 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: <ul><li> Masters or Doctorate Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field.</li><li> 10+ years of hands-on experience in using statistical machine learning, deep learning, data mining, data analysis, information retrieval, optimization algorithms.</li><li> 2+ years of hands-on experience working with large language models (LLMs).</li><li> Proficient in Python and working knowledge of at least one other programming languages such as Java, Scala, or C++.</li><li> Extensive experience with frameworks and libraries such as PyTorch, Numpy, Pandas, SciPy, Scikit-Learn, LangChain and Hugging Face Transformers.</li><li> Proficiency in SQL and experience with big data technologies such as Hadoop, Spark, or equivalent.</li><li> Demonstrated expertise in training, fine-tuning, and deploying machine learning models, particularly LLMs.</li><li> Proficiency in prompt engineering and retrieval-augmented generation (RAG) techniques.</li><li> Familiarity with cloud platforms and Tools such as AWS, Azure, or Google Cloud for development, deploying and scaling ML models.</li><li> Excellent problem-solving skills, with a track record of successfully addressing complex technical challenges.</li><li> Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.</li><li> Demonstrated commitment to ethical AI practices and data privacy/security regulations. </li></ul>
 What will you bring to Omnissa? <ul><li> Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data.</li><li> Work with engineers to design and implement machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems.</li><li> Leverage key technologies and state-of-the-art tools necessary for exploring/querying data, visualization, and advanced analytics - distribution of key attributes, relationships between attributes, feature engineering, and statistical analyses.</li><li> Be an expert in and lead the development of Large Language Models (LLMs) and Retrieval-augmented generation (RAG) based Solutions.</li><li> Develop and optimize algorithms for training and fine-tuning LLMs, improving their performance, accuracy, efficiency, and scalability.</li><li> Design and implement prompt engineering strategies to optimize the performance of LLM based applications.</li><li> Participate in design/code reviews, and knowledge-sharing sessions to maintain high standards of product development excellence.</li><li> Mentors and guide junior data scientists and engineers, fostering a culture of continuous learning and professional growth.</li><li> Collaborate with cross-functional teams to integrate AI/ML enabled features into existing products.</li><li> Track advances in industry and academia to stay up to date with the latest research and algorithms in the field of machine learning and AI, and drive innovation by incorporating relevant advancements into ongoing projects.</li><li> Actively contribute to the body of thought leadership and intellectual property (IP) best practices by actively participating in external conferences. </li></ul>
 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 <ul><li> Gartner Magic Quadrant: Consistently positioned as a leader in Gartner’s Magic Quadrant for Desktop as a Service (DaaS) and Virtual Desktop Infrastructure (VDI).</li><li> IDC MarketScape Q2 2024: Recognized as a leader in IDC MarketScape reports for EUC.</li><li> Forrester Wave report for Q4 2023: Workspace ONE received the highest scores in the current offering category and the second-highest scores in the strategy category.</li><li> Customer Satisfaction and Reviews: High ratings and positive reviews on platforms like Gartner Peer Insights and TrustRadius. </li></ul>
Omnissa’s Commitment To Diversity &amp; 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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