Virtusa Recognized as Global Leader in Gen AI Services by ISG Provider Lens® - Read report
Job description
Statistical Analysis & Modeling: Conduct advanced statistical modeling, including regression, hypothesis testing, and time series forecasting, while focusing on speech and language data.
Machine Learning & AI: Oversee the training, evaluation, and fine-tuning of agents and NLP models (e.g., transformers, GPT, T5).
Deep Learning: Work with deep learning frameworks like TensorFlow, PyTorch, and Hugging Face Transformers to build and scale models that process and generate data.
Big Data & Cloud Technologies: Leverage cloud platforms such as GCP for scalable data storage and computation, and work with Spark, Hadoop for distributed processing of large datasets involved in speech modeling.
Data Engineering & Pipelines: Focusing on ETL workflows that extract, transform, and load text data, ensuring robust pipelines for training and fine-tuning models.
Programming & Scripting: Proficient in Python, SQL for handling and analyzing voice data. Use libraries such as NLTK, spaCy, Pandas, Numpy and for NLP tasks. Experience with Shell scripting or Excel VBA for automating data extraction and reporting.
Natural Language Processing (NLP): Develop and implement NLP techniques to improve agents' understanding, dialogue generation, and context management, ensuring that AI models respond to human speech in a natural and effective manner.
Team Leadership: Mentor and guide junior team, promoting best practices in AI model development and technology innovation. Lead cross-functional initiatives and manage large, complex projects.
Business Acumen & Leadership:
Domain Expertise: Experience working with Testing data, NLP, and generative AI models in industries like HealthCare, Telecom and IT Services. Translate business problems into actionable data-driven AI solutions.
Decision Science: Build advanced decision-support tools, including dashboards for real-time model performance, user engagement, and ROI metrics.
Ethical AI & Fairness: Ensure ethical usage of AI, with a focus on fairness, privacy, and inclusivity in model responses and user interactions.
Soft Skills & Mindset:
Curiosity & Learning: Passion for staying up-to-date with advancements in generative AI models, and NLP. Willing to experiment with new approaches, technologies, and research papers.
Storytelling: Ability to present complex findings from and NLP models to both technical and non-technical stakeholders in a clear, understandable manner.
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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