Natalia Taylor’s Post

Why paying attention to detail is such an easy yet an important skill - all you have to do is care ! I recently started hiring for MLOps/DevOps engineers - and added a "prompt injection" to detect LLM responses. 2-3% of the responses were flagged and rejected immediately. Copy paste gone horribly wrong Mind you - it was only 5 questions, and this was the only open-ended+optional one. Who said hiring can't be exciting? Just proves my thesis of life - it's very easy to succeed at life, as long as you just care. If you believe you have what it takes - we are still hiring ! Do go through the documents outlining our core values and FAQs on work and compensation before you apply ! Link: https://lnkd.in/dbyaNnJ5 #hiring #mlops #devops #llm #machinelearning #ai

If you are a recruiter building a machine learning team, there is no escape from grappling with the significant challenge of hiring for MLOps, a critical function in today's tech landscape. As you may have been hiring for DevOps for quite some time now, MLOps is a known/unknown category. Here are a few pointers which may help make this search easier! #hiring #machinelearning #recruitment #MlOps #DevOps #GenAI #speechrecognition #conversationalAI #talentacquisition

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

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

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.

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

We are hiring at Radioactive Technologies. Full time Contract Opportunity Fully Remote please share resume at Khalil@weradioactive.com MLOps Engineer Exp: 10+ Yrs Contract (6 Months + Extensions)     Key Responsibilities:   •Design and implement cloud solutions, build MLOps on Azure cloud. •Build CI/CD pipelines orchestration by Azure devops or similar tools. •Data science model review, code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. •Data science models testing, validation and tests automation. •Communicate with a team of data scientists, data engineers and architect, document the processes.   Required Qualifications:   •Deep quantitative/programming background with a degree (Bachelor's, Master's, or Ph.D.) in a highly analytical discipline, like Statistics, Economics, Computer Science, Mathematics, Operations Research, etc. •Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps. •Monitoring Build & Production systems using automated monitoring and alarm tools. •Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn. •Experience with MLOps tools such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC). •Experience in supporting model builds and model deployment for IDE-based models and autoML tools, experiment tracking, model management, version tracking & model training (Dataiku, Datarobot, Kubeflow, MLflow, neptune.ai), model hyperparameter optimization, model evaluation, and explainability (SHAP, Tensorboard). •Experience in Databricks Lakehouse and Unity Catalog. •Ability to understand tools used by data scientist and experience with software development and test automation. #hiring #remotework #share #resume #MLOps #AzureCloud #CICD #AzureDevOps #DataScience #ModelOptimization #Containerization #ModelDeployment #ModelVersioning #ModelMonitoring #ModelTesting #ModelValidation #TestAutomation #TeamCommunication #ProcessDocumentation #QuantitativeBackground #Programming #MachineLearning #TensorFlow #PyTorch #Keras #ScikitLearn #ModelDB #Kubeflow #Pachyderm #DataVersionControl #Dataiku #Datarobot #MLflow #neptune.ai #HyperparameterOptimization #ModelEvaluation #SHAP #Tensorboard #DatabricksLakehouse #UnityCatalog #SoftwareDevelopment #TestAutomation #TechJobs #DataJobs #ContractJobs Follow this link to join my WhatsApp group: https://lnkd.in/dfZJfrxt

"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"

Machine Learning Engineer