"Exciting remote opportunity for a Machine Learning Engineer! We're seeking a hands-on engineer to help reduce fraud write-offs, including check frauds, deposit frauds, ACH, point of sale, and new accounts. Proficiency in scripting language (Python) is a must. Our interview process will test your ML and hands-on coding skills. If you're ready to tackle fraud risk with your expertise, we want to hear from you! #MachineLearning #RemoteWork #FraudRisk"
Vinay Yadav’s Post
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Hey friends! Have gotten an outpouring of interest for those AI focused engineering roles... feel free to apply directly with the link in comments! The team is still actively interviewing for: ✅ Full Stack Engineers (#java and #python on backend, #react on front end) ✅ Data Scientist (experience with LLMS, MLOPs and RAG) ✅ Enterprise Architect (several years of architecting/ leadership experience) ✅ Machine Learning #Engineer ✅ Staff Engineer in Test Cheers to #hiring and your #jobsearch 😄 #ai
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AppSierra is hiring through Pitch N Hire N Hire for its client, a skilled ML Engineer. Location: Remote Exp: 3-7 years Apply Here: https://lnkd.in/gqCAbuyD #machinelearning #artificialintelligence #ai #datascience #python #technology #programming #deeplearning #coding #bigdata #computerscience #tech #data #software #dataanalytics #pythonprogramming #developer #datascientist #javascript #programmer #java #innovation #ml #coder #robotics #webdevelopment #analytics #html #linux
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We are hiring! Join our passionate team of engineers who are driven to make an impact. If you are ready to take on new challenges and be part of a dynamic workplace, explore our immediate job openings and be part of our journey towards excellence. 1. Senior Full-stack Developer 2. ML Engineer 3. ML Architect #HiringNow #JoinOurTeam #fullstack #html #css #reactjs #javascript #frontend #backend #architecture #api #ai #artificialintelligence #machinelearning #deeplearning #algorithm #python #rlanguage #tensorflow #pytorch #keras #numpy #pandas #data #dataanalysis
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Are you a firm believer that Deep learning is not only about training models? Are you passionate about setting up tooling and infrastructure to enable Research skyrocket and deliver direct impact to the product?? 🚀 Then it is a very good time to reach out to me because we are actively hiring for a Senior MLOps Engineer to join our amazing team here at Tractable! Link to the JD in comments below 👇 #wearehiring #MLOps #machinelearning
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I'm starting to look around for few key hires for the team. If you're interested email: gotskillz@abstract.security * We filled our current threat research position * AI / ML Engineer(s) focused on continuing to build out our AI/ML features and use cases full time with the latest and greatest AI/ML technologies and techniques. Python is a must, and Java would be nice. Must have built production AI/ML features; building out ML applications in streaming systems (similar to Spark, DataBricks, etc.) would be nice. This is more of a deliver things quickly, than research role. These are senior and above roles, preference in the US for the Threat Research role. US or India for the AI / ML roles. We are remote first with slight centers of gravity currently in San Luis Obispo, CA; Pittsburgh, PA; and Delhi, India. We are a true startup: the pace is rapid. flexibility in what you're doing, an extreme orientation towards action + getting shit done, ability to build things from nothing quickly, reverse engineer and adapt to rapidly changing code bases, and a very strong willingness to grind through bugs + troubleshooting in the startup jungle with bold accelerating solutions is so so so key; as there are very few paved paths yet, and doing things that just add another detection rule isn't going to cut that path.
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Most recruiting processes today:
Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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AI Engineer at Kalbe Farma | ML Engineer @X Corp | B.C.Sc in Artificial Intelligence | Founder of Data Sorcerers
When comparing the job ecosystem for AI Engineers at foreign companies (outside Indonesia) or even multinational companies within Indonesia, a significant difference becomes evident. These companies place a strong emphasis on the specialized role of AI Engineers, with a focus on skill sets that are directly related to artificial intelligence. Candidates are often evaluated on their knowledge of Machine Learning (ML) and Deep Learning (DL), their ability to perform Exploratory Data Analysis (EDA), and their experience in model training and research. This contrasts sharply with some local startup environments, where the AI Engineer role can sometimes encompass a much broader range of responsibilities, including Database System Management, Frontend Development, System Integration, and even deploying applications using Docker. The specialized focus in multinational and foreign companies allows AI Engineers to concentrate more deeply on developing and refining AI models, ensuring they stay at the forefront of technological advancements in the field.
Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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Hiring an #ML engineer be like: 🕰️2014. #MLOps/ ML engineering was not even a thing... Recruiter: we need someone who can build a logistic regression with scikit-learn. Me: I used a Titanic dataset to build a logistic regression. Recruiter: Welcome aboard! 🕕2024: Me: I've built high-performance machine learing systems, deployed over 100 models to production, and mastered Kubernetes. I'm proficient in AWS, GCP, Azure. I'm skilled in Terraform, CI/CD, Airflow, mlflow, SQL, no-SQL, and Python. On weekends, I'm building my own chatbot. Recruiter: Hmm, I'm not sure that's quite enough... Inspired by a post by Mehdi Ouazza #hiring
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Attended Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai
Enabling Conversational AI with Perplexity AI Perplexity AI is a cutting-edge language model that empowers conversational AI systems to engage in natural-sounding conversations. It's designed to: 1. _Understand context_: Perplexity AI grasps the nuances of language, ensuring responses are relevant and coherent. 2. _Generate human-like text_: The model creates responses that mimic human language patterns, making conversations feel more natural. 3. _Learn from interactions_: Perplexity AI adapts to user input, refining its responses over time. 4. _Support multiple languages_: The model can be fine-tuned for various languages, enabling global conversational AI applications. Perplexity AI has far-reaching potential in: 1. _Chatbots_: Enhancing customer service and user experiences. 2. _Virtual assistants_: Powering more sophisticated and conversational AI assistants. 3. _Language translation_: Facilitating more accurate and natural-sounding translations. 4. _Content generation_: Assisting with creative writing, content creation, and more. By harnessing the power of Perplexity AI, developers can create conversational AI systems that simulate human-like interactions, revolutionizing the way we engage with technology. Perplexity #trending #ai #future #jobs #datascience
Our world-class team is expanding, and we're seeking talented AI inference and full-stack software engineers to join us. If you're passionate about building the future of information discovery and want to tackle complex challenges at the forefront of AI, this is your sign. Join Perplexity and help us redefine how the world interacts with knowledge. AI Inference Engineer https://lnkd.in/g_BbHXez AI Software Engineer - Full Stack https://lnkd.in/gbhefBhc We're hiring across various roles 👇 https://pplx.ai/careers #ai #inference #hiring #perplexity
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