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As a Lead Machine Learning Ops Engineer, you will play a pivotal role in implementing DevOps and ML Ops practices within the Corporate Data & Analytics Team to support AI/ML application enablement across The Friedkin Group of companies.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking to hire a permanent placement role for a Mid-Level Machine Learning/Data Scientist Engineer to join our hybrid company in Houston, Tx. Candidates should be interested in building intelligent space systems to modernize satellites' operations.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is looking for a Senior Machine Learning Engineer to joinour team to help deliver customer facing AI models into production.
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Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred.
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5-7+ years in the industry developing and deploying machine learning models, preferably in NLP, LLM, and ideally generative AI domains. Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation.
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We are seeking an experienced Machine Learning Engineer to join our team. Senior Machine Learning Engineer, MLOps. Collaborate with machine learning scientists and data engineers to translate prototype code to production-ready code.
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They're looking for a Lead Machine Learning Ops Engineer with a background in DevOps to come on board to play a key role in implementing DevOps and ML Ops best practice to drive AI/ML Application Deployment.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Location: 100% Remote, work from anywhere in the world (Company based in South Florida)Role: Machine Learning EngineerCompensation: Depends on Experience, US $170K+ DOEJob Type: Full Time W2 or Fulltime Contract, C2CWe are looking for an entrepreneurial minded Machine Learning Engineer to help us disrupt the e-commerce industry.
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Design complex systems of systems for training and running machine learning models with industry best practice. c#, develop, php, software developer, software development engineer, software engineer.
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5+ years in industry developing and deploying machine learning models, preferably in NLP, LLM and ideally generative AI domains. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Transformers.
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Rapidly growing tech startup that's working on cutting-edge robotics technology is hiring for a Computer Vision/Machine Learning Engineer to join their team. Computer Vision/Machine Learning Engineer (Austin, TX - On-site.
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As a Senior AI/Machine Learning Engineer , you will responsible for designing, developing, maintaining, deploying and monitoring NLP, AI, and machine learning models that drive the core of the platform and products.
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machine learning engineer jobs Title: learning engineer in Houston, TX
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The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
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First impressions can be tricky. When meeting someone in person, it’s likely you have an elevator speech. These short, practiced introductions can help you share more about who you are, what you do for work and other facts about you. While this works well in a live, in-person context, there are many cases where professionals “meet” someone via written form - like social media, a resume, or published work. In these cases, your bio works as your first impression. So, here’s a step-by-step guide on how to write a short bio.
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In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
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Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
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Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.