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G PyTorch/Tensorflow/Keras) and libraries (e.g., SKLearn/XGBoost) and integrating them into Cloud-based ML applications. As an Expert Machine Learning Engineer supporting Research and Development , you will be trusted to design, develop and operationalize machine learning systems to augment its digital product portfolio with AI/ML enabled technology.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000’s of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart lab s etc to name a few.
$78,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in one or more languages like Java, R, matlab, Python - generators, iterators, comprehensions, Numpy, Pandas, matplotlib, sklearn, keras, tensorflow, pytorch. Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling.
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Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products. Knowledge of big data tools (SQL, Spark, and Splunk) ie. Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure.
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Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or scikit-learn, and cloud-based platforms like AWS, GCP, or Azure. Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn.
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Experience with leading AI technologies from leading providers/vendors such as NVIDIA, OpenAI, Hugging Face, Microsoft, AWS, Google, TensorFlow, PyTorch and others. experience with leading AI technologies from leading providers/vendors such as NVIDIA, OpenAI, Hugging Face, Microsoft, AWS, Google, TensorFlow, PyTorch and others.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages commonly used in AI and machine learning, such as Python, TensorFlow, PyTorch, etc. Strong understanding of deep learning, natural language processing, and Experience with scaling up generative models and deploying them in production environments.
$89,040 - $143,896 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Alpha's offering a revolution in learning - and if you're a seasoned educator with an innovative spirit, we want you to be part of it. Educator Key Responsibilities. A Bachelor's Degree with a focus in early childhood (such as Early Childhood Education, Elementary Education, Reading Education, Child Development, or similar.
$50 an hourFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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We’re committed to putting you first, and that commitment is at the heart of our company culture: People first.
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Previous experience in natural language processing (NLP) or computer vision projects. We are looking for a skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services.
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Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy. A global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more, ADP has a deep commitment to diversity, equity, and inclusion.
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Machine Learning – Python, R, Matlab, Tensorflow, DMTK. Machine Learning – Python, R, Matlab, Tensorflow, DMTK. Database - Design, familiarity with DDL and DML for one or more of the following databases Oracle, PostgreSQL, IMS, DB2, Hadoop.
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A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.