Aiml Architect

Design, develop, and deploy machine learning models and algorithms using Python.
Implement computer vision solutions for image and video analysis.
Utilize analytics workbench tools to create and manage data pipelines and workflows.
Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions.
Conduct research and stay updated with the latest advancements in AI and ML technologies.
Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization.
**Requirements**:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as an AI/ML Engineer or similar role.
Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN).
c (e.g., NLTK, spaCy, Transformers).
Familiarity with analytics workbench tools and data pipeline management.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Preferred Qualifications:
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions.
Knowledge of big data technologies (e.g., Hadoop, Spark).

**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 30,000 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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.