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🚀 We're #Hiring : #MLOps #Engineer 🌎 #Remote Are you an experienced MLOps Engineer #passionate about deploying and scaling #AI/#ML #solutions? Join our #team and #work on cutting-edge projects with a #global impact. DM to Discuss Details . #MLOps #MachineLearning #AI #DevOps #CloudComputing #DataScience #Python #Kubernetes #AWS #GCP #AIJobs #TechJobs #RemoteWork #LATAMJobs #DataEngineering #Automation #CI_CD #MLPipeline #HiringNow #LatamTech

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

In today’s competitive market, *specialization* is more valuable than ever. While being a generalist has its perks, companies are now seeking deep expertise in specific areas. 🔑 Focus on a domain you are passionate about—whether it’s Cloud, AI/ML, Data, and more.. Here’s why specialization matters: ➡️ Deep expertise stands out – Being skilled in coding, system design, or DSA makes you valuable, but expertise in a specific domain (e.g., Cloud Solutions Architect, iOS Engineer, security engineer, data engineer, ML Engineer, etc.) sets you apart. ➡️ Become the go-to expert in your field– Specialization makes you indispensable. ➡️ Differentiate yourself – Specialization helps you shine in a crowded job market. Both generalist and specialist roles are available, so keep an eye out for those that match your skills. To simplify your job search, focus on roles that align with your specialization, ensuring you don't miss out on valuable opportunities. #softwareengineer #softwaredeveloper #engineers #developers _______________________________________________________________ 🙋♀️ I am Lakshmi Marikumar, your HR ally, subscribe to my YouTube channel @thefriendlyrecruiter for tips on prepping for your interviews by industry experts. If you are an Engineer and want to be a part of a strong tech community, join Everyone Who Codes (EWC) today!

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DVA is not associated with this job posting AI-Augmented Full-Stack Principal Engineer Worldwide https://lnkd.in/gdFg5gDk Are you a full-stack engineer who thrives on complex challenges and is eager to make a real impact? Join our team to contribute to innovative products that deeply leverage AI and that are reshaping industries and changing the way we work and learn. Showcase your skills, not just your resume. Take on our challenges: 15-min Cognitive, 90-min Coding, 180-min Technical Decision-Making. Excel and you'll face a decisive interview with our Hiring Manager. More than half walk away with an offer. Ready to unleash your potential? Apply today! What you will be doing Building modern web apps using top-notch libraries and tools. Enhancing cloud-native backends using the latest serverless cloud patterns, including AWS. Reviewing code to ensure adherence to best practices, team standards, and customer requirements. What you will NOT be doing Spending time on minor bug fixes or features in outdated codebases. Dealing with tedious infrastructure to keep poorly written products running. Getting stuck in endless meetings discussing roadmaps and priorities or chasing people around. #career #jobsearch #careergoals #careerdevelopment #careeradvice #careeropportunities #careerprogression #careeradvancement #careerplanning #careerchange #careercoach #connect #networking #connection #immediatejoiner #experienced #freshers #cv #personaldevelopment #springboot #microservices #immediatehiring

#Required #Immediate Joiner #Hiring for #Data_Scientist/ #Machine_Learning Engineer || #Downtown, #Chicago, #IL || #Contract #W2 Core Skills: 1. Python along with popular and widely used Python libraries 2. SQL 3. ML models like Random forest, KNN, Time series forecasting 4. Neural Network Architectures, Transformers, ANN, BERT, GPT models, Open Source foundational models (e.g; LLama2/3). 5. mlFlow 6. Cloud(Azure is valued over AWS/GCP) based ML managed services(e.g; Azure OpenAI, Azure ML). 7. Vector databases, LM/LLM/GEN-AI based tools, libraries and frameworks(e.g; LangChain, Agentic, Semantic Kernel). 8. Performance evaluation of ML/DL/LLM systems, drift handling Reach out for Earliest Convenience!!

Immediate Internal Requirement, Role: ML Engineer (Microsoft's DiT/OCR) Location: Remote Experience Level: Midlevel Single Round Interview send me only genuine profiles Must have: Microsoft's DiT,0CR,Python Good to have: Java, Spring boot, Micro Services Employment Authorization: USC/GC/ GC-EAD/H1B (NO OPT/CPT) Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field. Proven experience in maintaining and enhancing machine learning systems, preferably in document processing. Strong proficiency in Python and relevant machine learning libraries/ frameworks like TensorFlow, PyTorch Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DIT Demonstrated experience in implementing and working with self- supervised learning techniques, especially in the context of pre- training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document Al tasks. Hands-on experience in applying Transformer models to various Document Al tasks, including document image classification, document layout analysis. Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks. Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document Al tasks. Ability to interpret and communicate experiment results effectively. Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities. Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to collaborate with cross- functional teams. Responsibilities: Maintain and optimize the existing document code prediction system. Collaborate with cross-functional teams to understand business requirements and implement enhancements. Monitor system performance and troubleshoot issues as they arise. Stay updated on the latest advancements in machine learning and implement improvements to the prediction model. Explore and identify new machine learning opportunities within the document processing domain. Please send me your resume to karthi@cloudoneinc.com #machinelearning #ai #python #mlengineer #ml

Immediate Internal Requirement, Role: ML Engineer (Microsoft's DiT/OCR) Location: Remote Experience Level: Midlevel Single Round Interview send me only genuine profiles Must have: Microsoft's DiT,0CR,Python Good to have: Java, Spring boot, Micro Services Employment Authorization: USC/GC/ GC-EAD/H1B (NO OPT/CPT) Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related field. Proven experience in maintaining and enhancing machine learning systems, preferably in document processing. Strong proficiency in Python and relevant machine learning libraries/ frameworks like TensorFlow, PyTorch Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DIT Demonstrated experience in implementing and working with self- supervised learning techniques, especially in the context of pre- training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document Al tasks. Hands-on experience in applying Transformer models to various Document Al tasks, including document image classification, document layout analysis. Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks. Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document Al tasks. Ability to interpret and communicate experiment results effectively. Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities. Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). Excellent problem-solving skills and ability to work independently. Strong communication skills and ability to collaborate with cross- functional teams. Responsibilities: Maintain and optimize the existing document code prediction system. Collaborate with cross-functional teams to understand business requirements and implement enhancements. Monitor system performance and troubleshoot issues as they arise. Stay updated on the latest advancements in machine learning and implement improvements to the prediction model. Explore and identify new machine learning opportunities within the document processing domain. Please send me your resume to karthi@cloudoneinc.com #machinelearning #ai #python #mlengineer #ml

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.