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Data Scientist in Pune applying ML, LLMs, and predictive modeling on complex datasets to drive data-driven decisions in retail/quick commerce, using Python, SQL, and statistical techniques.
Build and optimize AI/ML models for computer vision tasks using TensorFlow/PyTorch, deploying scalable solutions on AWS with CI/CD pipelines.
Develop and deploy machine learning algorithms and scalable ML systems in a fully remote, freelance capacity, collaborating with cross-functional teams on AI-driven business solutions.
AI Architect leading complex, high-scale system design and architectural decisions while mentoring cross-functional teams, using AI/ML frameworks, Python, cloud platforms (AWS/Azure), and DevOps practices.
Lead AI/ML Engineer architecting mission-critical AI/ML systems at scale using deep learning, LLMs, RAG, and cloud platforms (AWS/GCP/Azure) in a hybrid role based in Coimbatore.
Design and implement machine learning models using Python and TensorFlow, collaborating with cross-functional teams to integrate ML algorithms into production systems in a fully remote freelance role.
Lead AI Engineer architecting and delivering end-to-end AI solutions—classical ML, deep learning, LLMs, multimodal systems, and MLOps—while mentoring a team of AI/ML engineers, based in Pune.
Develop and maintain AI-driven conversational systems and chatbots while advising customers on GenAI/ML best practices, using Python, JavaScript/TypeScript, LLM frameworks (LangGraph, Llamaindex, DSPy), and major cloud platforms (AWS, Azure, GCP).
Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
Build and deploy AI/ML models (LLMs, RAG, NLP, generative AI) on a large-scale platform using Python, TensorFlow, Scikit-learn, and AWS, with full MLOps and data engineering responsibilities.
Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
Onsite Applied AI Engineer in Los Angeles building end-to-end AI features (LLM, computer vision) from conception to deployment using Python, TensorFlow, Django, Flask, and AWS.
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.
An Applied AI Scientist designing, developing, and deploying machine learning models (NLP, TensorFlow/PyTorch) in cloud environments using Python and Docker, in a hybrid role based in Acalanes Ridge, California.
Builds and maintains scalable backend systems and APIs for AI-driven applications, focusing on FastAPI, microservices, real-time streaming (LiveKit), and AI/ML integrations while optimizing deployment pipelines.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
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.
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