IN Manager Gen AI Engineer Tax Technology TRS Gurgaon
Gurugram 10 C, India
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
TaxIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
ManagerJob Description & Summary
At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions.In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary:
We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services.
Responsibilities:
As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost.
- Model Development and Implementation:
- Strong understanding of deep learning concepts and techniques, particularly in generative models.
- Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc.
- Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc.
- Proficiency in programming languages such as Python.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
- Proven experience in developing and deploying generative AI models.
- Experience with large-scale data processing and analysis.
- Experience working with different data modalities (e.g., images, text, audio).
- Model Development and Implementation:
- Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications.
- Implement and optimize deep learning architectures for efficient training and inference.
- Experiment with different model architectures, hyperparameters, and training techniques to improve performance.
- Collect, clean, and preprocess large datasets for training generative models.
- Evaluation and Optimization:
- Evaluate the performance of generative models using appropriate metrics and benchmarks.
- Identify and address performance bottlenecks and improve model efficiency.
- Conduct thorough testing and validation to ensure model reliability and robustness.
- Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project.
- Stay up-to-date with the latest advancements in generative AI and deep learning.
- Deployment and Maintenance:
- Deploy trained models to production environments.
- Monitor model performance and maintain model stability.
- Troubleshoot and resolve issues related to model deployment and performance.
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Passion for innovation and continuous learning.
Mandatory skill sets:
Gen AI Engineer
Preferred skill sets:
Gen AI Engineer
Years of experience required:
6 to 15 Yrs
Education qualification:
B.Tech/M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
JavaOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Relationship Building, Scenario Planning, Self-Awareness, Service Excellence, Statistical Analysis, Statistical Theory, Strategic Questioning {+ 6 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Claude Content creation Data Analytics Data visualization Deep Learning Diffusion models Engineering GANs GCP Generative AI Generative modeling GPT Java JAX LangChain LLaMA LLMs ML models Model deployment OpenAI Python PyTorch RAG Research Statistics TensorFlow Testing Transformers
Perks/benefits: Career development
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