We assist in filing for STEM extension and also for H1b and green card filing to candidates. If you ... Excellent written and verbal communication skills For data science/machine learning positions:
We assist in filing for STEM extension and also for H1b and green card filing to candidates. If you ... Excellent written and verbal communication skills For data science/machine learning positions:
... and Machine Learning engineers for full-time positions with clients. Who Should Apply Recent ... We assist in filing for STEM extension and also for H1b and Green card filing to Candidates If you ...
... and Machine Learning engineers for full-time positions with clients. Who Should Apply Recent ... We assist in filing for STEM extension and also for H1b and Green card filing to Candidates If you ...
Entry Level Business Analyst
Eureka, UT · On-site
... Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in ... We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support.
Entry Level Business Analyst
Eureka, UT · On-site
... Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in ... We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support.
Software Engineer
Salt Lake City, UT · On-site
Have experience with or a strong interest in machine learning, especially LLMs (Large Language ... Please note that at this time, the company does not sponsor visas or accommodate H1B transfers. Why ...
Quick apply
Software Engineer
Salt Lake City, UT · On-site
Have experience with or a strong interest in machine learning, especially LLMs (Large Language ... Please note that at this time, the company does not sponsor visas or accommodate H1B transfers. Why ...
H1B Machine Learning information
What are some common challenges H1B Machine Learning professionals face when adapting to a new work environment in the U.S.?
H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer on an H1B visa, and why are they important?
To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.
What is an H1B Machine Learning job?
An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.
What is the difference between H1B Machine Learning vs H1B Data Scientist?
| Aspect | H1B Machine Learning | H1B Data Scientist |
|---|---|---|
| Required Credentials | Degree in CS, ML, or related field; certifications like TensorFlow, AWS | Degree in CS, Statistics, or related; certifications in data analysis tools |
| Work Environment | Research labs, tech companies, startups focusing on ML models | Business analytics, data analysis teams, consulting firms |
| Employer & Industry Usage | Tech firms, AI startups, R&D departments | Finance, healthcare, e-commerce, consulting |
| Common Search & Comparison | Yes | Yes |
H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.
What are popular job titles related to H1B Machine Learning jobs in Utah? For H1B Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching H1B Machine Learning jobs in Utah look for? The top searched job categories for H1B Machine Learning jobs in Utah are:
- Mlops Data Engineer
- Mlops Machine Learning Engineer
- Machine Learning Engineer Opt
- Flexible Machine Learning
- Online Machine Learning
- Freelance Google Machine Learning Engineer
- Data Scientist With Sagemaker
- Director Google Machine Learning Engineer
- Contract Audio Machine Learning
- Home Based Nvidia Machine Learning
What cities in Utah are hiring for H1B Machine Learning jobs? Cities in Utah with the most H1B Machine Learning job openings:
Other
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Job description
Job Opportunities at SynergisticIT
Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. 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, Client, Visa, Walmart Labs, etc to name a few. We have an excellent reputation with the clients.
Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry? We assist in filing for STEM extension and also for H1b and green card filing to candidates.
If you applied for a job and got emails from our job placement program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. Please check the below links to see the successful outcomes of our candidates our participation at different tech industry events and how we are different from other organizations in helping jobseekers secure tech careers.
To prepare for interviews please visit. We are looking for the right matching candidates for our clients. Please apply via the job posting. Required skills for Java/full stack/software programmer:
- Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
- Highly motivated, self-learner, and technically inquisitive
- Experience in programming language Java and understanding of the software development life cycle
- Project work on the skills
- Knowledge of core Java, JavaScript, C++, or software programming
- Spring boot, microservices, Docker, Jenkins, and REST API experience
- Excellent written and verbal communication skills
For data science/machine learning positions:
- Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
- Project work on the technologies needed
- Highly motivated, self-learner, and technically inquisitive
- Experience in programming language Java and understanding of the software development life cycle
- Knowledge of statistics, SAS, Python, computer vision, and data visualization tools
- Excellent written and verbal communication skills
Preferred skills: NLP, text mining, Tableau, PowerBI, SAS, Tensorflow. If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements. No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates.