Becca Steffen’s Post

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

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

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

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.

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.

Machine Learning Engineer

Hiring First Data Engineer with Computer Vision experience for an early-stage AI startup. Though we're unable to divulge many specifics at this time, here's what we're searching for: 1. Profound domain expertise in computer vision or diffusion models for visual synthesis 2. Proven experience handling vast amounts of unstructured data, including building efficient and parallelized data pipelines for rapid training data loading and management of terabytes of data 3. Passion for AI in image and video domains 4. Familiarity with fundamental ML models such as K-means clustering, PCA, and experience with pre-trained models 5. Capability to handle the entire spectrum of data tasks from collection, cleaning, and annotation to storage and retrieval 6. Exceptional computer engineering prowess encompassing web engineering and tasks like web scraping 7. Proficiency in programming languages like Python, Java, etc., as well as SQL, big data technologies like Spark, ETL processes, data warehousing, distributed systems, data modeling, version control (Git), containerization (Docker), and cloud platforms (AWS, Azure).

"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"

There have been wave after wave of #layoffs in so many #startups & #enterprises all across the globe. So many talented people were let go off. The field of #ai is growing at a fast pace and we at Yugen.ai, are looking for people with the following skills to Fuel our Growth Story and be a part of our Journey! (Links in the comments section) 1. Data Engineer 2. Junior Data Scientist 3. Data Analyst 4. Machine Learning Engineer #dataengineer #datascience #machinelearning #dataanalytics #aiandml #jobs #hiring #mlops