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Data Scientist (PHD Candidates)
Job Location:
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
22 May 2026 (30+ days ago)
Posted:
Application Deadline:
19 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Description
Role - Data scientist
Experience Required - 8 Years
We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML) specializing in Natural Language Processing (NLP) Generative AI and other advanced AI technologies.
Must Have Technical/Functional Skills
We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML) specializing in Natural Language Processing (NLP) Generative AI and other advanced AI technologies.
Two key requirements for the role:
1. Coding Capability
2. General DS foundations best to have LLM/GenAI/Agent application building experience
Extensive experience in building and delivering sophisticated solutions that leverage various AI solutions machine learning algorithms or technologies and are able to scale optimally.
Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Speech Recognition
o Multimodal LLMs
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow Kubeflow Pipelines ML Run
o Container: Docker Kubernetes Mesos Marathon
o Model Serving: Kubeflow KF Serving TF Serving Seldon-Core MLflow
o Observability: Prometheus Grafana Elasticsearch
Development:
o Programming Language: Python Java Scala Julia
o IDE: Notebooks PyCharm VS Studio
o Machine Learning: TensorFlow Keras ScikitLearn XGBoost MXNet
o Feature Store: Hopsworks Feast or other purposed built Feature Store
o Model Format: ONNX PMML
Solid understanding of agile project management principles with experience leading teams and managing projects in a fast-paced environment.
Excellent communication and leadership skills with the ability to collaborate effectively with both technical and non-technical teams.
Strong problem-solving abilities with a cre ative and analytical approach to tackling challenges and driving results.
Hands-on Experience with GCP and/or AWS is a plus.
Roles & Responsibilities
Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI Personalization Image Recognition Speech Recognition Natural Language Processing Best Next Action and Time Series predictions
Build solutions from identifying business problems to collecting training dataset to analyzing data to modeling to validating and to delivering production grade solutions at scale.
Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
Drive both high-level and detailed technical designs and conduct design reviews as needed
Responsible for health and quality of the code across the portfolio including leadership over innovation functional testing and CI/CD tool integration
Provide technical mentorship to team members at junior levels
Actively participate in business and technical discussions and forums
