Data Scientist AI & ML, Bangalore, Karnataka, India | Cognizant ...
Job Summary
We are seeking a highly skilled Data Scientist AI / ML with 3 to 6 years of experience to join our team. The ideal candidate will have expertise in Statistics, Azure Open AI Service, EDA, Airflow, Knowledge Graph, ML Ops, Machine Learning, Cloud AutoML, Dialogflow, OpenCV, Artificial Intelligence, Natural Language Processing, Deep Learning, PyTorch, AI-enabled chatbot, Tensorflow, R Statistical Package, Python, and Search Engine Optimization. This role is hybrid and requires no travel.
Responsibilities
- Lead the development and implementation of advanced data analytics models to solve complex business problems.
- Oversee the design and execution of exploratory data analysis to uncover insights and trends.
- Provide expertise in Azure Open AI Service to enhance machine learning models.
- Utilize Airflow for workflow automation and data pipeline management.
- Implement and maintain Knowledge Graphs to improve data relationships and insights.
- Apply ML Ops practices to streamline the deployment and monitoring of machine learning models.
- Develop and optimize machine learning algorithms using Cloud AutoML.
- Integrate Dialogflow for creating AI-enabled chatbots to improve customer interactions.
- Utilize OpenCV for computer vision tasks and image processing.
- Apply Artificial Intelligence techniques to develop innovative solutions.
- Implement Natural Language Processing to analyze and interpret human language data.
- Use Deep Learning frameworks such as PyTorch and Tensorflow for model development.
- Conduct data analysis and visualization using R Statistical Package and Python.
- Optimize search engine performance to enhance data retrieval and user experience.
- Collaborate with cross-functional teams to ensure data-driven decision-making.
- Ensure data integrity and security throughout the data lifecycle.
- Stay updated with the latest advancements in data science and machine learning.
- Provide mentorship and guidance to junior data scientists.
Qualifications
- Must have strong experience in Statistics and Exploratory Data Analysis.
- Must be proficient in Azure Open AI Service and Airflow.
- Must have expertise in Knowledge Graph and ML Ops.
- Must be skilled in Machine Learning and Cloud AutoML.
- Must have experience with Dialogflow and OpenCV.
- Must be knowledgeable in Artificial Intelligence and Natural Language Processing.
- Must be proficient in Deep Learning frameworks such as PyTorch and Tensorflow.
- Must have experience with R Statistical Package and Python.
- Nice to have experience in Search Engine Optimization.
- Must have excellent problem-solving and analytical skills.
- Must have strong communication and collaboration skills.
- Must be able to work in a hybrid model with a day shift.
About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
What we offerOur commitment to diversity and inclusion Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information. While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes.
Land Acknowledgment We acknowledge that Cognizant gathers and operates on the traditional territory of Indigenous nations. Our Halifax office sits on the ancestral and unceded territory of the Mi’kmaq people, while our Toronto and Mississauga offices are on the traditional territory of the Mississaugas of the Credit, the Anishnaabeg, the Chippewa, the Seneca, the Haudenosaunee, and the Wendat peoples. We are grateful for the opportunity to work in the territories of the First Nations, Inuit and Métis peoples across Turtle Island. We offer this acknowledgement to honour the Indigenous peoples and their longstanding relationship with this land; we recognize the oppression they faced and continue to face, and demonstrate our commitment to creating meaningful relationships with Indigenous peoples and communities.
