Everseen’s Post

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.

***Urgent Hiring*** raj@solutionssyncit.com Senior ML Operations & Python Engineers - Remote (100%) No H1B, OPT, CPT, Asylum, TN Must have: The preference is Consultants who have worked for FANG company and worked with LLM, Prompt Engineering, Flask APIs, and Kubernetes. (FANG:- Facebook, Amazon, Netflix, Google) Our client is seeking three knowledgeable Senior ML Operations & Python Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization, and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team. Prerequisites for the selection of the Consultant encompass: * Advanced Python programming for back-end development for Machine Learning Operations. * Expertise with OpenAPI specs. * Conversant with LLMs, specifically Llama 2 or Mistral. * Familiar with Prompt Engineering. * Required to produce Large Language Model (LLM) based solutions. * Capable of taking an open-source Large Language Model (LLM) and fine-tuning it to reflect custom data and retrieve data from a Vector database. * Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption. * Write Helm charts and the web front end. * Must be skilled in modularizing machine learning code. * Will transform Data Scientists; models into scalable, maintainable systems. * Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models). * Should have expertise in deploying and managing containerized applications using Kubernetes. * Ability to take an open-source hugging face model and productionalize it so that users can use it on custom data. * Plan the builds with Swagger CodeGen, Editor, and Inspector. * Experience with Jupyter Notebooks, Flask, FastAPI, and on-premises Docker and Kubernetes. * Angular and Node are also utilized in this environment. * Document plan and steps for development. #mlengineer #pythonengineer #machinelearning #python

Senior Process Engineer https://ift.tt/9SMJ3Q0 Company Overview: At Function Health, our mission is to empower individuals to take control of their health. Through our innovative platform, we offer comprehensive health insights through over 100+ lab tests, tracking health changes over time, and providing actionable, easy-to-understand results all made affordable and accessible to everyone. Our leadership doesn't just talk the talk; they've been at the helm of technological innovation and medical excellence. Led by tech visionaries and the esteemed Dr. Mark Hyman of Cleveland Clinic fame—a 15-time New York Times bestselling author—our team is a dynamic blend of pioneering spirits and medical mavericks. As we gear up for our next growth phase, we're looking for exceptional talent to join our ranks. We're calling all innovators, disruptors, and those with a penchant for challenging the status quo to join us. Our technical leadership boasts alumni from the ranks of Google Research, where they spearheaded machine learning initiatives that have been deployed at an unprecedented scale. If you're drawn to the idea of leveraging technology to make a tangible difference in people's lives and have the skills to contribute to a platform that's changing the face of healthcare, Function Health is where you can leave your mark. Let's redefine health care together, one innovation at a time. Role: We're on the lookout for a Python Developer/Process Engineer who is not only proficient in technological solutions but also a self-starter, keen on identifying and automating operational inefficiencies. This role is perfect for someone adept at Python scripting, API integrations, and proactively seeking out areas for process improvement. As a Python Developer/ Process Engineer at Function, your primary focus will be developing Python scripts and integrating APIs to automate and enhance operations. We value self-starters who can independently identify inefficiencies in our systems and conceive innovative solutions to address them. Applicants seeking an easy job, a big corporation, a slow pace, or predictable 9-to-5 hours need not apply. This role requires energy, talent, and a genuine passion for Function's mission. Key Responsibilities: Development Excellence: Craft and refine Python scripts with an emphasis on efficiency and scalability, particularly within Google Colab environments. API Mastery: Seamlessly integrate key APIs (Intercom, Stripe, SendGrid, Google Sheets) to enhance and automate operational processes. Innovative Problem-Solving: Independently discover and address areas for improvement, initiating projects to eliminate inefficiencies. Agile Adaptation: Swiftly modify and upgrade scripts in alignment with changing operational needs. Collaborative Innovation: Work alongside diverse teams to unearth automation opportunities, developing script-based solutions to streamline processes. Quality and Scalability: Ensure integrity, reliability...

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!

"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"

Go to: www.LTVAcademy.com The tech industry is expanding, and with it, the demand for specialized roles is on the rise. From DevOps Engineers to Data Scientists, there are exciting career paths to explore. 🌟 These specialized roles require unique skill sets. DevOps Engineers automate software development, while Site Reliability Engineers monitor infrastructure. Cloud Developers work with managed cloud services, and Data Engineers manage data pipelines. Data Scientists dive deep into ML algorithms and data analysis. The boundaries between these roles are fluid, allowing for skill expansion and career growth. 💪 Tech careers go beyond coding. There are opportunities in software engineering, data, network and security, and management. Whether you're a Front-End Engineer or a Security Analyst, there's a path for you. Soft skills like collaboration and leadership are also crucial. Tech careers offer not only financial rewards but also remote work options and high demand. Roles like Data Scientist and DevOps Engineer come with competitive salaries. 📈 If you're considering a tech career, understanding the specific skills and growth trajectories is key. Whether you choose DevOps automation or unraveling data insights as a Data Scientist, the possibilities in tech are vast and promising. Are you ready to dive into this dynamic realm and unlock new horizons? Share your thoughts below! 👇 #TechCareers #SpecializedRoles #TechIndustry #CareerGrowth Link to Blog: https://lnkd.in/eXprtnpg

We are hiring!!   Job Title: ML Engineer Location: Remote Job Type: Full-time Experience Level: 3-4 Yrs.   Job Summary: We are seeking a talented and motivated Machine Learning Engineer with 3-4 years of experience to join our innovative team. The ideal candidate will have a solid foundation in machine learning, data science, and software engineering. You will be responsible for developing, deploying, and optimizing machine learning models that drive our business solutions.   Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Strong understanding of statistical modeling, data mining, and algorithm design. Experience with data preprocessing techniques, including feature extraction and dimensionality reduction. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for model deployment. Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Experience with version control systems like Git. Key Responsibilities: Model Development: Design, implement, and maintain machine learning models for various applications, ensuring high performance and scalability. Data Preprocessing: Work with large datasets to clean, preprocess, and transform data for model training and evaluation. Algorithm Selection: Evaluate and select appropriate machine learning algorithms and tools based on project requirements. Model Evaluation: Perform rigorous testing and validation of models, ensuring accuracy, robustness, and generalization. Deployment: Deploy machine learning models into production environments, monitor their performance, and iterate based on feedback. Collaboration: Work closely with data scientists, software engineers, and product teams to integrate machine learning solutions into applications. Documentation: Create and maintain comprehensive documentation of models, processes, and methodologies. Continuous Learning: Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques and tools to improve existing models. #MLEngineer #MachineLearning #DataScience #AI #ModelDeployment #TensorFlow #PyTorch #BigData #CloudComputing #TechJobs #genxcellence #genxai #gcon

🚀 Underdog.io is #hiring 📍 Job Title: Machine Learning Engineer (remote) 🎓 Experience: 3-5 year 💰 Salary: $150000 - 250000/year 🔗 Apply Now: https://lnkd.in/g8tGgTU8 #job #remote #workfromhome #programming #development #coding #tech #engineer #career #Machine Learning #Javascript #Scala #Ruby on Rails #Docker #AWS #Golang #Java #SQL

These last two weeks have been a rollercoaster for the industry, and if you're on the hunt for a new role, come work with me at Inworld AI! We're building a foundation for immersive experiences to reach the next level of engagement and interaction. #Characters that know about the world and your players, and can also respond dynamically to speech, text, and in-game events too. #Hiring #CharacterEngine #AI

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