2 years of proven experience building deep learning models for large-scale recommender systems.
Proficiency in ML frameworks such as TensorFlow or PyTorch.
Proficiency in SQL Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
Proficiency with statistics design of experiments exploratory data analysis and insights generation.
Experience working with LLMs or Generative systems in applied settings.
Experience working with cloud platforms like Azure or GCP.
Experience working with Data Engineering and MLOps is desirable.
High level of independence to develop and own toolkits pipelines and dashboards.
Roles & Responsibilities
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior product data and contextual signals. Partner with engineering to deploy and iterate on models in production.
AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
Cross-functional Collaboration. Work closely with product owners engineers and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous fast-moving environment.
Thanks & Regards
Romit Karn Work#:
Mailto:
Synchrony Systems Inc.
Disclaimer: We respect your online privacy. If you would like to be removed from our mailing list please reply with Remove in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential privileged and exempt from disclosure under applicable law. If you are not the intended recipient be advised that the unauthorized use disclosure copying distribution or the taking of any action in reliance on this information is strictly prohibited. We are an equal opportunity employer with a diverse workforce. Note : Any resume submitted by Synchrony Systems Inc is presented with the understanding that the candidate is being considered for your direct end-client (end-client is the company where the work will be performed). If there is any other company involved between the end-client and your company please do not submit this resume without our written approval. If you submit the resume to another third party Synchrony Systems Inc reserves the right to work with the third party directly.
Job Description Must Have Technical/Functional Skills 2 years of proven experience building deep learning models for large-scale recommender systems. Proficiency in ML frameworks such as TensorFlow or PyTorch. Proficiency in SQL Python and Spark for data analysis and manipulation. Experience wo...
Job Description
Must Have Technical/Functional Skills
2 years of proven experience building deep learning models for large-scale recommender systems.
Proficiency in ML frameworks such as TensorFlow or PyTorch.
Proficiency in SQL Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
Proficiency with statistics design of experiments exploratory data analysis and insights generation.
Experience working with LLMs or Generative systems in applied settings.
Experience working with cloud platforms like Azure or GCP.
Experience working with Data Engineering and MLOps is desirable.
High level of independence to develop and own toolkits pipelines and dashboards.
Roles & Responsibilities
Recommender Systems Development. Design and improve recommender systems for customer experiences. Develop models that combine user behavior product data and contextual signals. Partner with engineering to deploy and iterate on models in production.
AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translate results into actionable insights and model improvements.
Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
Cross-functional Collaboration. Work closely with product owners engineers and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous fast-moving environment.
Thanks & Regards
Romit Karn Work#:
Mailto:
Synchrony Systems Inc.
Disclaimer: We respect your online privacy. If you would like to be removed from our mailing list please reply with Remove in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential privileged and exempt from disclosure under applicable law. If you are not the intended recipient be advised that the unauthorized use disclosure copying distribution or the taking of any action in reliance on this information is strictly prohibited. We are an equal opportunity employer with a diverse workforce. Note : Any resume submitted by Synchrony Systems Inc is presented with the understanding that the candidate is being considered for your direct end-client (end-client is the company where the work will be performed). If there is any other company involved between the end-client and your company please do not submit this resume without our written approval. If you submit the resume to another third party Synchrony Systems Inc reserves the right to work with the third party directly.