- Machine Learning
- Data Science
- 9+years of professional experience with Large Language Models (Llama2, Mistral, etc.)/GenAItechnology like OpenAI API, ChatGPT, GPT-4, Bard, Langchain, HuggingFace Transformers,PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experiencewith vector database.
- Deep familiarity across the stack – compute infrastructure, ML frameworks, orchestrationlayers, large language models, frameworks like LangChain for developing applications poweredby GenAI models, and MLOPs.
- Experience with GenAI models across training, inference, MLOPs, and/or developing GenAIapplications.
- Experience with data engineering techniques and different platforms including vector DB &knowledge graphs.
- Experience training large models across compute types and developing applications powered byGenAI models.
- Experience with prompt engineering and the ability to craft effective prompts for variousapplications.
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformermodels.
- Data Handling and Pre-processing – Develop and implement data pre-processing pipelines toclean and transform large volume of unstructured text data.
- NLP Model Development and Evaluation – Design, Develop, and Fine-tune state-of-the-artNLP models for tasks such as information extraction, text classification, machine translation,chatbots, recommendation systems, pattern recognition, topic modelling, intent classification,semantics-based similarity analysis, text generation, text summarization, etc.
- Strong collaboration with software engineering and operations teams to ensure seamlessintegration and deployment of AI models.
- Excellent problem-solving and analytical skills, with the ability to translate businessrequirements into technical solutions
- Strong communication and interpersonal skills, with the ability to collaborate effectively withstakeholders at various levels.
- Track record of driving innovation and staying updated with the latest AI research andadvancements
- Continuous Learning and Model Optimization - Monitor and evaluate the performance of NLPmodels in production based on performance metrics and new data.
- Drive MLOps and LLMops practices, covering continuous integration, deployment, andmonitoring of AI.
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
- Collaboration and Communication - Collaborate with cross-functional teams includingengineering, marketing, and product development. Communicate complex data findings in aclear and actionable manner to non-technical stakeholders.
- Keep abreast with emerging tools, techniques, and technologies in data science & machinelearning. Engage in self-improvement and continuous learning opportunities to maintainexpertise in the data science domain.
- Good understanding of Generative AI Technologies like large language models, computer visionor reinforcement learning.
- Apply trusted AI practices to ensure fairness, transparency, and accountability in AI modelsand systems
- 8+ Years of relevant experience in
- Machine Learning
- 10 years of Consulting/Development experience in Emerging Technology Domain.
- B.E./ B Tech/ MCA/ M.Tech/PhDCertifications (added advantage)
- Data Science
- Data Analytics
- Machine Learning
- Cloud Platform ServicesPersonality traits (a must)
- Strong communications skills, both written and verbal
- Ability to handle complex assignment independently
- Ability to work with ambiguity. Taking a systematic, structured view of situations.
- Ability to interact with client (senior government officials)
- Demonstrating willingness to 'get hands dirty' and developing a problem-solving attitude
- Strong personal and professional presence and self-confidence, capable of working effectively withsenior team as well as all other levels.
- Machine Learning
- Data Science
- Machine Learning
- Data Science
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Manager - Chennai, India - PricewaterhouseCoopers Private Limited
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
& SummaryA career in our Government and Public Sector Transformation Management practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world's largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage.In joining, you'll help federal, state and local government clients solve complex business issues and manage jurisdiction related risk.
You'll help our clients assess their operational and security and data management strategies so they can continue to operate more efficiently and effectively, both today and tomorrow.
Position Title:
GenAI / NLP Grade/Level:
Business Unit:
Advisory Sub BU: Responsible Development ServicesLocation: Any location /
Chennai Position Type:
FTE
Expertise Keywords:
GenAI, LLM, Large Language Models, NLP and ML. Frameworks like NLTK,scikit-learn spaCy, Gensim, PyTorch, Keras, HuggingFace, Cloud platform based Natural Language APIservices like GCP, AWS, MS Azure, Text mining,
PrefaceAt PwC, our purpose is to build trust in society and solve important problems.
We're a network of firmsin 157 countries with more than 300,000 people who are committed to delivering quality in Assurance,Advisory and Tax services.
Within Advisory, PwC has a large team (Responsible Development Services) that focus ontransformation in Government through Digital inclusion.The open position is for a candidate whodesires to work with government clients and bring about a change in society.
A successful candidatewill be expected to work pro-actively and effectively on multiple client engagements over the period oftime and take ownership of the entire project delivery he/she entrusted with.
Broad Role / ResponsibilitiesBroad role typically entails our resources to adopt problem solving approach to solve important clientproblems and extend support in monitoring / managing large projects, involving followingresponsibilities:Nice to Have:
Educational Qualifications
Preferred skill sets-GenAI, LLM, Large Language Models, NLP and ML. Frameworks like NLTK, scikit-learn spaCy, Gensim, PyTorch, Keras, HuggingFace, Cloud platform based Natural Language API services like GCP, AWS, MS Azure, Text mining,
Year of experience required-10+Qualifications-EducationDegrees/Field of Study required:Degrees/Field of Study preferred:CertificationsRequired SkillsData Science, Large Language Models (LLM), Natural Language Processing (NLP), Probability and Statistics, Statistics, Structured Query Language (SQL)
Optional SkillsDesired LanguagesTravel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date