Remote engineer

3 days ago


India EazyML Full time

Company Description Founded by Bell Labs research veterans, and associated with breakthrough startups like Amelia, EazyML, specializes in Transparent Machine Learning.. Early on EazyML founders saw the need for Transparency in AI/ML, and their subsequent research led to the widely acclaimed transparent ML platform, EazyML. Decision-AI digitizes your business process – not only enhances productivity by automation but equally importantly, helps make better decisions for increased profitability. The challenge though, especially for regulated sectors, is how do you ensure its compliance and report it for audit? Transparency in AI/ML is a must. EazyML’s Transparent/Responsible AI provides the solution for proactive compliance, differentiating from competing ML majors by making Transparency Actionable (suggest a way forward to remedy). As AI/ML becomes integral to your enterprise, further challenges arise: Sustainable automation is possible by EazyML’s Transparent AI/ML. Do a PoC to evaluate, and if you find it helps your business, make the AI/ML easily align with your process for quick benefits while alleviating risks. EazyML is the first machine learning platform designed specifically to predict outcomes from textual data. It stands out by offering a transparent and user-friendly approach, catering to both seasoned data scientists and beginners. EazyML is dedicated to revolutionizing the way machine learning is utilized in a variety of industries. This is a full-time Remote role for a Generative AI Engineer and ML expert. The person can work from home (anywhere in India) and will be responsible for researching and developing the EazyML platform with cutting-edge AI agents. Experience in AI/GenAI solution for prompt engg, architecture, consulting, and enterprise architecture Experience in software development A deep understanding of GenAI/ML technologies and their implementations Experience in the financial, healthcare, or insurance industries is a plus Bachelor's/Master's degree in Computer Science/data science or related field Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines. 1+ years of experience in Generative AI and 1+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models. Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases Hands-on experience with OpenAI, Llama/Llama2 and other open source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred)


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