Machine Learning Engineer

Machine Learning Engineer

SYNERGISTICIT is aware that the job market is challenging because of tech layoffs. The job market is flooded with hundreds and thousands of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 we have helped jobseekers differentiate themselves by providing clients with candidates who have 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 thousands of candidates get jobs at technology clients like Apple, Google, and 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 a Machine Learning Engineer. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We also offer skill enhancement programs for candidates who are either missing skills or lacking industry/client experience with projects and skills. Candidates have difficulty finding jobs or cracking interviews or want to improve their skill portfolio. If they are qualified with enough skills and have hands-on project work with clients then no need for skill enhancement. Candidates can benefit from skill enhancement if they fall into the below categories. Candidates who lack experience or are fresher with no actual job experience with projects with clients who have had a break in careers lack technical competency or skills being demanded by clients different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

If you have relevant skills and industry experience, please apply if not then candidates can opt for skill enhancement. For getting help with interviews please visit.

Required skills for Java/Software Programmers:

• Bachelor's degree or Master's 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, java script, C++ or software programming
• Spring boot, Micro-services, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills

Required skills for Data Science/Machine Learning:

• Bachelor's degree or Master's 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 the 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, Power BI, Time series analysis

Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a junior or entry-level position. The additional skills and project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates please only apply to the posting. No phone calls, please. Shortlisted candidates would be reached out to.