This team is responsible for Global Customer Personalization products which including batch/real-time analytical, machine learning and modeling solutions using technologies such as Hadoop, Spark, HDFS, MapReduce, Hive, HBase, Python & Java. This young team has delivered industry leading products with many firsts in the organization.

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution.

Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning Positions.

It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.

AWS, AlienVault, Azure, Bash, Confluence, EKS, GSuit, Github, Golang, HTML, Hashcat, JIRA, JWT, Java, Javascript, Jenkins, Kubernetes, Metasploit, New Relic, Nmap, NodeJS, OWASP, Okta, PCI-DSS, PagerDuty, Python, Rails, Ruby, SAML, SQL, SQLMap, SignalScience, SignalSciences, Slack, Snyk, Sumologic, tenable.io, Twistlock, TypeScript, Wireshark, tcpdump.

Design, build, and maintain data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Production, Trust & Safety, and Business Analytics internal customersCollaborate closely with Data Scientists to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases.

3 years of working with Machine Learning esp. 9 years with at least two modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least three of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.

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.

Java, Python and/or PHP. 5+ years of software engineering work experience, including hands-on technical management building holistic web based software solution, API design, and interactions between servers and clients.

Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.

Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, ITProject work on the technologies neededHighly motivated, self-learner, and technically inquisitiveExperience in programming language Java and understanding of the software development life cycleKnowledge of Statistics, SAS, Python, Computer Vision, data visualization toolsExcellent written and verbal communication skills.

9 years with two or more general purpose programming languages including but not limited to: Java, Python (Django/Flask), C/C. in Natural Language Understanding, Machine Translation, Deep Neural Networks and related fields.

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.

San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Java, MATLAB, Go. Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning) are welcome. PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.