Data Scientist - GenAI & Recommender Systems

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.