Job Title: Machine Learning Engineer (Remote – India) Job Summary We are seeking a highly motivated Machine Learning Engineer to design, build, and deploy scalable machine learning models that solve real-world problems. The ideal candidate will
About the Role: We are looking for a Lead Data Scientist with strong expertise in Artificial Intelligence and hands-on experience with Microsoft Azure to drive end-to-end data science initiatives. This role will lead the design, development,
Company Description Kastack Labs is driven by innovation and passion, providing solutions that empower businesses to streamline operations and boost productivity. As a forward-thinking company, we embrace young talent and foster a culture of continuous learning
Title - AI Engineer Type - Contract Location - Remote Roles and Responsibilities: Design, develop, and deploy AI models, particularly focusing on Large Language Models (LLM) to solve complex problems. Implement Retrieval-Augmented Generation (RAG) frameworks to
Role Overview: Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP). Lead technical strategies, ensure scalability, manage AI security/ hallucinations,
Role - Sr MLE Experience - 5+Yrs Location - India Minimum Qualifications ● Bachelor’s or Master’s degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills ● 5+ years of experience
AI Product Engineer: We’re looking for a hands‑on Individual Contributor who excels at taking real business problems and turning them into production‑ready GenAI solutions. If you have a strong track record of designing, building, and operating
Job Title: AI/ML Engineering Intern Location: India (Remote) Employment Type: Internship About Daice Labs Daice Labs, founded by MIT CSAIL scientists, is at the forefront of developing hybrid AI infrastructure designed for long-term, complex tasks. Our
AIML Software Engineer We are a US based Stealth mode Start-up location: Bangalore / Remote ( any where in India ) We unify the processes used in Semiconductor and Hardware Systems design - thus reducing bugs,
AI Software Engineer We are a US based Stealth mode Start-up location: Hyderabad / Bangalore / Remote ( any where in India ) We unify the processes used in Semiconductor and Hardware Systems design - thus
We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential. People from tier II and tier III colleges are also eligible.
About the Job As an AI/ML Engineer, you will be responsible for architecting, developing, and deploying production-grade Generative AI and Agentic AI solutions, including LLM-powered systems, autonomous workflows, and intelligent automation platforms that drive scalable business
About the Role: We are looking for a candidate with strong foundational knowledge in machine learning and deep learning, including architectures such as encoder–decoder models, transformers, CNNs, and GANs, along with a solid understanding of core
Company Description Decrackle is a leader in audio-visual intelligence, driven by a mission to enhance quality audio and video experiences using cutting-edge AI technology. With expertise in generative AI and Large Language Models (LLMs), Decrackle provides
Job Title Machine Learning Engineer | Speech AI & NLP Location Remote / Hybrid Experience 0–4 Years Employment Type Full-Time About Company An AI-driven HR Tech company building intelligent assessment and hiring solutions. We leverage Machine
EazyML, recognized by Gartner, EazyML ( specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for a
Were seeking an experienced Python/AI Engineer to research, customize, and deploy machine learning models across audio, vision, and language domains. Youll work on production systems that process multimodal data at scale and build automation solutions for