Data Scientist - GenAI & Recommender Systems

Posted 7 Days Ago
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Hyderabad, Telangana
3-5 Years Experience
Database • Analytics
The Role
Seeking a talented Data Scientist to work on high-impact projects for a client in the payments domain, focusing on Generative AI (GenAI) and recommender systems. Responsibilities include designing and implementing GenAI architectures, developing recommender systems, analyzing large datasets, and staying updated with the latest GenAI trends.
Summary Generated by Built In

Company Description

BLEND360 is adding to our team of passionate people who are revolutionizing the world of Data Science. We are an award-winning, new breed Data Science\Data Engineering\BI Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a growing company – born at the intersection of advanced analytics, data and technology. 

Job Description

We are a leading analytics and technology consulting firm, partnering with global clients to deliver innovative solutions that drive business growth. We are currently seeking a talented Data Scientist to join our team and work on high-impact projects for a client in the payments domain, focusing on Generative AI (GenAI) and recommender systems.

Position Overview: As a Data Scientist, you will play a pivotal role in designing, building, and scaling recommender systems using GenAI algorithms for our payments client. You will collaborate closely with the client’s teams, leveraging cutting-edge AI technologies to enhance their product offerings and improve personalized customer experiences.

Key Responsibilities:

  • Design and implement GenAI architectures tailored for the client’s recommender systems.
  • Develop and scale recommender systems using state-of-the-art GenAI algorithms to enhance personalization and user engagement.
  • Collaborate with cross-functional teams at the client’s organization to integrate GenAI models into existing systems and platforms.
  • Analyze large datasets to extract meaningful insights and build predictive models for the client’s projects.
  • Experiment with and fine-tune GenAI models to optimize performance for various use cases at the client’s organization.
  • Stay updated with the latest trends and advancements in GenAI and recommender systems, applying this knowledge to develop innovative solutions for the client.
  • Communicate complex technical concepts to non-technical stakeholders at the client’s organization and collaborate effectively with their engineering teams.

Qualifications

Qualifications:

  • Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience in designing and implementing GenAI models, with a strong understanding of GenAI architecture.
  • Hands-on experience with building and scaling recommender systems.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or similar.
  • Strong knowledge of algorithms, data structures, and statistical methods.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and experience deploying AI models in production environments.
  • Excellent problem-solving skills, with a focus on delivering high-quality, scalable solutions.
  • Strong communication skills and the ability to work effectively in a collaborative team environment, especially with client stakeholders.

Preferred Skills:

  • Experience with large-scale data processing technologies like Hadoop, Spark, or similar.
  • Knowledge of MLOps practices, including model monitoring and continuous deployment.
  • Familiarity with natural language processing (NLP) techniques as applied in GenAI models.

Top Skills

Python
R
Scala
The Company
HQ: Columbia, MD
390 Employees
On-site Workplace
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics.

Blend360 has two divisions:
Data Science Solutions: We work at the intersection of data, technology and analytics.
Talent Solutions: We live and breathe the digital and talent marketplace.

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