Company Description Gleantap is an intelligent customer experience platform designed for fitness and wellness clubs, enabling businesses to harness data to run effective sales and marketing campaigns. By integrating contextual data, AI, and automation, Gleantap streamlines
Immediate or early Joiners preferred. A US Based IT MNC is looking for a seasoned AI/ML Engineer with hands-on experience in building and optimizing voice models, for one its Reputed client in Enterprise class voice solution domain.
The Role: We are hiring a Senior Machine Learning Engineer to own the ML layer of an early-stage generative video product end-to- end. The role covers model selection and benchmarking, building the core generative agents, the video
About the Project We are building an AI-powered healthcare claims intelligence platform for a leading healthcare payer organization. The objective is to identify suspicious coding patterns, prevent AI-driven over-coding, and enable real-time claim risk detection before
The Sr. ML Engineer will work directly with our Data Science Director to develop, refine, and productionize machine learning models that score healthcare claims against liability signals from legal, P&C, and other data sources. This role requires
We’re Hiring: AI / ML Engineer GalaxiQ — (Remote-first) We’re building an AI-native marketing intelligence platform from the ground up. This is not a feature layer on top of existing software. We are building the core intelligence
Data Scientist – Digital Advertising & Marketing Technology Salary: $65,000 USD Employment Type: Full-Time About the Organization We are a global technology team responsible for building and managing advanced advertising platforms that power large-scale digital marketing
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 technology
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 innovation.
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 our
Job Summary The Systematic & Algorithmic Trading Strategist is responsible for designing, testing, and continuously improving rule-based trading strategies , and translating them into algorithmic execution frameworks . This role combines: systematic strategy development rigorous backtesting
About Data Hatch Data Hatch is a UK-based agentic AI company building data platforms and AI products for mid-market clients in healthcare, insurance, and financial services. Were a Databricks partner shipping real production systems — including
Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether its from the office, your home,
Role Overview We are looking for a hands-on, senior Databricks Architect to design, build, and govern our Lakehouse data platform from the ground up. You will own the end-to-end architecture of our data infrastructure — from
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
Sr. Data Engineer (x2 Roles) Remote Contract These two roles sit at the core of Companies data lake modernization initiative. We are building a medallion architecture (Bronze / Silver / Gold / Feature Store) on Microsoft
Data Scientist Design and implement end-to-end evaluation frameworks to assess performance, reliability, and safety of multi-agent AI systems Lead experimentation and A/B testing efforts to systematically test hypotheses, validate model improvements, and track performance across agent
About the Job We are seeking a skilled Data Engineer to architect, build, and optimise scalable data platforms on cloud infrastructure. The role involves close collaboration with cross-functional teams to deliver robust, secure, and high-performance data
Role- GCP Data Engineer Experience- 6years+ Responsibilities: • Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI. • Build ETL scripts using SQL and Python to extract, clean, and transform structured
Position Overview The Engineer, Artificial Intelligence supports the development and deployment of advanced artificial intelligence solutions. This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI