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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.
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
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.
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.
The Senior Data Engineer will build and maintain scalable data pipelines and models to support Hyatt's data-driven initiatives, including Generative AI projects. The role involves collaborating with cross-functional teams to deliver high-quality data products in an agile environment.
Position: Data Scientist Department: AI Growth Reporting to: Data Science Manager Location: London or Amsterdam Hybrid role: 3 days a week from our office & 2 days working from home Ready for a challenge? Then Just…
The Forward Deployed Engineer works with strategic clients to design, build, and scale AI integrations and workflows using Python, Go, and cloud infrastructure. This role bridges the gap between client needs and the CloudFactory platform, focusing on moving AI systems from proof-of-concept to production.
Embedded engineer who modernizes customer data platforms and builds OpenAI-powered AI workflows, focusing on data pipelines, agentic AI, and enterprise AI solutions.
Build and operate AI infrastructure to integrate LLMs into HPE’s training and documentation systems, focusing on production reliability, cost, and integration of vendor APIs.
Build and integrate AI-powered solutions on the ServiceNow platform, leveraging Agentic AI, LLMs, and custom MCP tooling to automate workflows and enhance digital experiences.
The Quantexa Systems Analyst will manage business requirements and design solutions for banking systems, with a specific focus on integrating Agentic AI and GenAI architectures. The role involves collaborating with stakeholders and technical teams to implement LLM-based solutions using Python and modern AI frameworks.
About Business: Adani Group: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. It has created a world class logistics and utility infrastructure portfolio that has a pan-India…
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.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Leads security strategy for Amazon’s HR and legal systems, performing threat modeling, secure code reviews, and security automation to protect enterprise applications while mentoring teams and guiding secure development practices.
Lead the development of Generative AI-powered tools and foundational model training for design and creative production tasks at Amazon's eShop. Architect and build production-grade GenAI tools, APIs, and platforms from scratch.
Design Technologist on Amazon's eShop team developing and scaling Generative AI workflows and pipelines for production-grade visual content (images, videos) that power the shopping experience for hundreds of millions of customers.
AI Solutions Engineer embeds with business units to identify, prototype, and deploy AI-driven automation solutions, ensuring accuracy, compliance, and production readiness in a regulated fintech environment.
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