ML engineer ! Careers at Dataknobs
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Role : Machine Learning Engineer Work location: India (Remote) What You'll Do - Responsibilities: Responsible for the development of state-of-the-art applied machine-learning projects Build e2e solution using generative AI Build scalable ML solutions and pipelines for data products on cloud. Build machine learning models, and solutions for NLP Work with business teams to deliver results. Qualifications Minimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics or similar quantitative fields Hands-on experience in one or more of the following areas: machine learning, machine learning pipeline, Exploratory data analysis, deep learning, and statistical modeling methods. Strong coding skills, especially in Python/Java/Go. Knowledge of Cloud. - AWS, GCP, Azure Familiarity with online experimentation, causal inference Preferred Qualifications: 1+ years of experience is preferred but not mandatory Knowledge of generative models, active learning, transfer learning is a plus. Understanding of the business value of ab testing and experimentation |
From the Slides blog
Unleash AI's creative spark: Master GenAI 2.0 with cutting-edge updates, real-world applications, and ethical challenges.Tame the Generative Beast: Conquer cutting-edge models, demystify real-world applications, and optimize workflows. AI fluency guaranteed. Beyond Hype, Into Hands-On: Architect your own GenAI marvels. Deep dive into foundations, dissect use cases, and master best practices. Unleash the Black Box: Unpack the power of GenAI models, dissect ethical dilemmas, and unlock hidden creative potential. Expert-level mastery awaits. Spotlight
Futuristic interfacesFuture-proof interfaces: Build unified web-chatbot experiences that anticipate user needs and offer effortless task completion. |