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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.
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.
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.
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.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Required Qualifications 4+ years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / scientific researcher) Fundamental knowledge in fields such as statistics,…
The Data Science Architect designs and leads the delivery of AI and data solutions for clients using GCP services and various machine learning frameworks. The role involves technical leadership, mentoring junior staff, and bridging the gap between complex data challenges and business outcomes.
Radar Systems Engineer Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network, and data fusion expertise, Ursa…
Sr. Radar Systems Engineer About Ursa Space Systems Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network,…
Builds AI/ML products for property insights, designing ML pipelines, deploying models, and collaborating with cross-functional teams to develop predictive analytics and digital valuation solutions.
We are looking for a highly passionate, self-driven, hand-on and analytical product manager who pushes the boundaries of what is possible. Our Company Invision AI is building a universal AI platform for computer vision…
About TechnoServe: At TechnoServe, we believe that everyone deserves the opportunity to build a better life. For over 50 years, we have given smallholder farmers and entrepreneurs the skills, connections, and…
Senior Software Engineer developing Python applications, building scalable batch and real-time data pipelines with ETL frameworks, and collaborating with Data Science teams on MLOps and observability solutions at Smiths Detection in Bengaluru.
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