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ML/AI Engineer

Remote

This role will be crucial to the development and implementation of cutting-edge AI products. Its responsibilities will include designing and constructing sophisticated machine learning models, in addition to improving and updating existing systems. The ultimate goal is to create efficient self-learning applications that can evolve over time. If you want to be at the forefront of machine learning innovation, we hope you’ll join our team. 

Responsibilities:

  • Design machine learning systems
  • Research and implement machine learning algorithms and tools
  • Manage and direct research and development processes to meet the needs of our AI strategy
  • Develop machine learning applications in alignment with project requirements and business goals
  • Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems
  • Select appropriate datasets and data representation methods
  • Extend existing machine learning libraries and frameworks
  • Train systems and retrain as necessary
  • Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
  • Advise leaders on technology, strategy, and policy issues related to AI/ML.

Education:

  • Bachelor’s degree in computer science, mathematics, or a related field.

 

Skills /Experience:

  • 2+ years of experience applying AI to practical uses
  • Experience with deep learning, NLP, and TensorFlow
  • Experience writing robust code in Python, Java, and/or R
  • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
  • Knowledge of basic algorithms and object-oriented and functional design principles
  • Knowledge of data structures, data modeling, and software architecture
  • Knowledge of math, probability, statistics, and algorithms
  • Knowledge of machine learning frameworks such as Keras and PyTorch
  • Knowledge of machine learning libraries such as scikit-learn
  • Excellent communication skills
  • Strong analytical and problem solving skills

Preffered :

  • Master’s degree in a relevant technology field
  • Experience with cloud environments
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Cyber Security Engineer

SFO,CA

Cyber security engineer with an analytical mind and a detailed understanding of cybersecurity methodologies. Cyber security engineers are expected to have meticulous attention to detail, outstanding problem-solving skills, work comfortably under pressure, and deliver on tight deadlines.

To ensure success, a cyber security engineer must display an excellent understanding of technology infrastructures using Firewalls, VPN, Data Loss Prevention, IDS/IPS, Web-Proxy, and Security Audits. Top candidates will be comfortable working with a variety of technologies, security problems, and troubleshooting of the network.

Responsibilities:

  • Planning, implementing, managing, monitoring, and upgrading security measures for the protection of the organization’s data, systems, and networks.
  • Troubleshooting security and network problems.
  • Responding to all system and/or network security breaches.
  • Ensuring that the organization’s data and infrastructure are protected by enabling the appropriate security controls.
  • Participating in the change management process.
  • Testing and identifying network and system vulnerabilities.
  • Daily administrative tasks, reporting, and communication with the relevant departments in the organization.

Skills:

  • A degree in computer science, IT, systems engineering, or related qualification.
  • 2 years of work experience with incident detection, incident response, and forensics.
  • Experience with Firewalls (functionality and maintenance), Office 365 Security, VSX, and Endpoint Security.
  • Proficiency in Python, C++, Java, Ruby, Node, Go, and/or Power Shell.
  • Ability to work under pressure in a fast-paced environment.
  • Strong attention to detail with an analytical mind and outstanding problem-solving skills.
  • Great awareness of cybersecurity trends and hacking techniques.
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Data Analytics Engineer

Dallas, TX

Responsibilities

  • Develop and maintain scalable data pipelines.
  • Build analytical models and data solutions.
  • Collaborate with data scientists and analysts to refine data requirements.
  • Ensure data quality and integrity across various sources.
  • Optimize data workflows and processes.
  • Implement best practices for data governance and security.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or related roles.
  • Strong knowledge of SQL and database management systems.
  • Experience with ETL tools and data pipeline frameworks.
  • Proven ability to work with large datasets.
  • High attention to detail and problem-solving skills.

Skills

  • SQL
  • Python
  • ETL
  • Apache Spark
  • AWS
  • Data Warehousing
  • Big Data Technologies
  • Data Modeling
  • NoSQL Databases
  • Data Visualization Tools (e.g., Tableau, Power BI)
 
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