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Strong experience with generative AI models (e.g., GPT, GANs, VAEs) and deep learning frameworks like TensorFlow, PyTorch, or JAX.
Full-stack development experience, including proficiency in front-end frameworks (e.g., React, Vue.js, Angular) and back-end technologies (e.g., Node.js, Python, Flask, Django).
Proficiency in API design and development (RESTful APIs, GraphQL).
Solid knowledge of databases (SQL, NoSQL) and experience with cloud platforms (AWS, GCP, Azure).
Solid experience in data analytics, including proficiency with Python, R, or SQL for analyzing datasets and generating insights.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to communicate insights effectively.
Strong experience with big data tools (e.g., Spark SQL, Hive, HBase) and data storage (e.g., NoSQL databases like Cassandra, MongoDB, or HDFS).
Experience with containerization (Docker) and version control systems (Git).
Strong programming skills in Python and JavaScript, as well as familiarity with JavaScript frameworks for front-end development.
Ability to deploy AI models in real-world production environments and integrate them with full-stack applications.
Experience working with deployment pipelines (CI/CD) and cloud-based infrastructure.
Problem-solving mindset with a focus on optimizing both AI models and full-stack systems.
Strong communication skills and the ability to collaborate in a cross-functional team.
Preferred Skills:
Experience with reinforcement learning, self-supervised learning, or multi-modal AI.
Experience with DevOps tools and practices, including Docker, Kubernetes, and Terraform.
Knowledge of serverless computing and cloud-native application development.
Familiarity with frontend frameworks (e.g., Vue.js, Angular) and state management systems (e.g., Redux, Vuex).
Exposure to multimodal AI models (combining text, images, or video).
Experience with data pipelines and working with large-scale datasets.
1 to 3 years of experience in developing Generative AI models or working with big data technologies.
Strong experience with generative AI models (e.g., GPT, GANs, VAEs) and deep learning frameworks like TensorFlow, PyTorch, or JAX.
Full-stack development experience, including proficiency in front-end frameworks (e.g., React, Vue.js, Angular) and back-end technologies (e.g., Node.js, Python, Flask, Django).
Proficiency in API design and development (RESTful APIs, GraphQL).
Solid knowledge of databases (SQL, NoSQL) and experience with cloud platforms (AWS, GCP, Azure).
Solid experience in data analytics, including proficiency with Python, R, or SQL for analyzing datasets and generating insights.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to communicate insights effectively.
Strong experience with big data tools (e.g., Spark SQL, Hive, HBase) and data storage (e.g., NoSQL databases like Cassandra, MongoDB, or HDFS).
Experience with containerization (Docker) and version control systems (Git).
Strong programming skills in Python and JavaScript, as well as familiarity with JavaScript frameworks for front-end development.
Ability to deploy AI models in real-world production environments and integrate them with full-stack applications.
Experience working with deployment pipelines (CI/CD) and cloud-based infrastructure.
Problem-solving mindset with a focus on optimizing both AI models and full-stack systems.
Strong communication skills and the ability to collaborate in a cross-functional team.
Preferred Skills:
Experience with reinforcement learning, self-supervised learning, or multi-modal AI.
Experience with DevOps tools and practices, including Docker, Kubernetes, and Terraform.
Knowledge of serverless computing and cloud-native application development.
Familiarity with frontend frameworks (e.g., Vue.js, Angular) and state management systems (e.g., Redux, Vuex).
Exposure to multimodal AI models (combining text, images, or video).
Experience with data pipelines and working with large-scale datasets.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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