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Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
Data Engineer building and maintaining scalable ETL data pipelines for AI/ML model training, using Python, SQL, and tools like Airflow in an onsite role in Pune.
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
The Associate Director of Data Analytics will design and deliver advanced marketing analytics, measurement, and reporting solutions using SQL, Python, and cloud platforms. This role involves leading complex analytical projects, implementing AI-driven automation, and mentoring a team to provide actionable insights for clients.
Designs and deploys AI/ML algorithms for processing geophysical sensor data (seismic, acoustic, hydro-acoustic, infrasound) to support U.S. Air Force missions, focusing on deep learning architectures and signal detection.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
Junior Software Engineers build/maintain enterprise Triage systems and data pipelines, focusing on automation, cloud workflows, and AI/ML integration to improve financial service efficiency.
Lead Data Scientist translates business challenges into data-driven insights by building, deploying, and optimizing ML models (including generative AI) using Python/R/Scala. Focuses on full AI workflows—from feature engineering to model monitoring—while mentoring teams and advising executives on strategic decisions.
As a Data Scientist at P&G, you will design and implement scalable machine learning, optimization, and generative AI models to solve complex business problems. You will collaborate with engineering teams to productionize these solutions while mentoring others and applying advanced analytics to massive datasets.
The Senior Data Scientist will design and implement advanced AI, machine learning, and optimization models to solve complex business challenges at scale. The role involves collaborating with engineering teams to deploy production-ready solutions using cloud platforms like GCP or Azure.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model compression, deployment, and performance improvements (e.g., quantization, distillation) to enhance real-world autonomy.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model pipelines, compilers (e.g., FTL), and deployment of optimized models for safe on-road navigation.
Build and maintain IT infrastructure for the RACOON medical data project at a university hospital, administer systems, develop AI/ML models, and perform database work using medical standards (DICOM, HL7, FHIR) with Python, PyTorch/TensorFlow, and Linux/Windows.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are…
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