Title: AI Lead - L1
Requisition ID:
46078
City:
Bengaluru
Country/Region:
IN
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
Job Description
Role Purpose
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business.
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Mandatory Skills |
Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy |
Preferred Skills |
AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure |
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- Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
- Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
- Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.
- Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.
- Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.
- Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.
- Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.
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