- Develop and implement a comprehensive generative AI strategy that aligns with the organization's goals.
- Identify opportunities for applying generative AI to improve products, services, and processes.
- Stay abreast of industry trends and developments in AI technologies to maintain a competitive edge.
- Provide technical leadership in AI for the quality engineering teams.
- Maintain up-to-date knowledge of advancements in AI, machine learning models, and quality engineering practices.
- Advocate for and lead the adoption of best practices in AI across quality engineering.
- Build and lead a multidisciplinary AI team including data scientists, AI engineers, and project managers.
- Foster a culture of innovation and continuous learning within the AI team.
- You will be challenged with leading and mentoring large group of development teams & projects
- You will have the opportunity to work with the industry most sophisticated testing technologies and help customers shift into the new testing realities of the digital world.
- You will be challenged with growing the testing business through farming value based relationship with the customer, finding opportunities of growth and driving them to completion.
- Join us in our expanding organization, with ever growing opportunities for personal growth and one of the highest scores of employee engagement in Amdocs
- We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave
SW Test Line Manager - Pune, India - Amdocs
Description
In one sentence
A Generative AI Leader in Quality Engineering will lead the development and integration of generative AI technologies focused on enhancing the quality engineering processes.
Lead implementing AI-driven solutions that improve testing, ensure high-quality outputs, efficiency, and optimize the overall engineering processes.
Developing roadmap plan for generative AI and implement it along with larger quality engineering team.
What will your job look like?
Strategic and Technical Leadership and Expertise
All you need is...
Advanced Machine Learning and AI Knowledge, Programming and Frameworks
• Deep understanding of LLMs and experience implementation of LLMs. (ChatGPT, Azure OpenAI, LLaMA, PaLM)
• Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers.
• Proficiency in supervised, unsupervised, and semi-supervised learning techniques. Familiarity with reinforcement learning and its applications.
• Strong programming skills in Python, which is commonly used in AI and machine learning.
• Experience with AI and machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
• Ability to use and adapt open-source codebases for specific project needs.
• Knowledge of big data technologies like Hadoop, Spark, and big data querying tools.
• Knowledge at least of software development best practices and methodologies.
• Ability to architect and design scalable systems specifically for AI applications.
• knowledge of MLOps practices, Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying and scaling AI solutions.
• Knowledge of CI/CD pipelines to integrate AI systems into existing product environments seamlessly.
• Ability to conduct and apply cutting-edge research to practical business problems.
• Willingness to continuously learn and adapt to new technologies and methodologies in the fast-evolving field of AI.
• Strong problem-solving skills and the ability to work collaboratively in cross-functional teams.
• Excellent communication skills to articulate complex technical details to non-technical stakeholders.
• Prompt Engineering, demonstrated ability to craft effective prompts for GPT-like language models, including experience in prompt design for generating desired responses and controlling model outputs.
Qualifications
• 10+ years of experience in overall with minimum 5 years of experience in core AIML and extended generative AI solution development or implementation.
• Advanced degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in leading AI projects, particularly in generative AI models.
• Strong understanding of machine learning algorithms, data structures, and knowledge software development, testing,
• Excellent leadership, communication, and interpersonal skills
Why you will love this job: