Data Analytics- Generative Ai - Bengaluru, Karnataka, India - Evalueserve

Evalueserve
Evalueserve
Verified Company
Bengaluru, Karnataka, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description

Elevate Your Impact Through Innovation and Learning


Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.


Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.


About Data Analytics (DA)
Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering.

Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.


What you will be doing at Evalueserve

  • Expertise in Data Analysis, Statistics, Computer Vision, AI & Machine Learning Concepts
  • Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML
  • Knowledge of working with Online / Offline LLMA models; such as; prompt engineering, offline deployment, fine tuning is must
  • Develop and implement analytical models that provide insights and solutions to complex business problems.
  • Work closely with stakeholders to understand business requirements and provide solutions that meet their needs.
  • Handle and analyze big datasets using the following tech stack: Python, Pandas, NumPy, SciPy, Scikitlearn, TensorFlow, Keras, PyTorch, NLTK, and Gensim.
  • Deploy analytical models to cloud platforms such as Azure and AWS.
  • Utilize expertise in Python, NLP, Deep Learning, and Statistics to provide valuable insights.
  • Communicate findings and recommendations to stakeholders.
  • Experience in working advanced techniques like Linear Regression, Logistics Regression, Bagging and Boosting algorithms (Random Forest, XGBoost, GBM, etc.) and other advanced algorithms.
  • Understanding of ML lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop

What we're looking for

  • Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 58 years of experience as a Data Scientist with strong skills in Python, NLP, Deep Learning, and Statistics.
  • Experience in handling and analyzing big datasets using tech stack including Python, Pandas, NumPy, SciPy, Scikitlearn, TensorFlow, Keras, PyTorch, NLTK, and Gensim.
  • Familiarity with cloud platforms such as Azure and AWS and deploying models to these platforms.
  • Strong problemsolving and analytical skills with excellent communication and presentation skills.
**Want to learn more about our culture and what it's like to work with us?
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