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Commission Open Source Intelligence Jobs in Springfield, MA

Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled ... Contributions to open-source AI/ML projects. * A Master's degree.

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

... Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI ... using open-source software - Applying natural language processing techniques in real-world ...

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... open-source projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date ...

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Commission Open Source Intelligence information

What is a Commission Open Source Intelligence professional?

A Commission Open Source Intelligence (OSINT) professional is an expert who gathers, analyzes, and interprets publicly available information from various sources such as the internet, social media, news outlets, and public records. Their work supports organizations or government agencies in making informed decisions, assessing risks, or conducting investigations. OSINT professionals use specialized tools and techniques to collect data ethically and legally, ensuring the accuracy and relevance of the information they provide. The insights they generate are used for security, business intelligence, compliance, and other strategic purposes.

What are the key skills and qualifications needed to thrive as a Commission Open Source Intelligence analyst?

To excel as a Commission Open Source Intelligence Analyst, you need a strong background in research, data analysis, and information security, often supported by a relevant degree in intelligence, cybersecurity, or a related field. Familiarity with OSINT tools such as Maltego, Shodan, and advanced search operators, as well as certifications like GIAC Open Source Intelligence (GOSI), is highly valuable. Critical thinking, attention to detail, and strong communication skills help analysts synthesize findings and present actionable intelligence. These skills are crucial for accurately gathering, evaluating, and reporting intelligence from publicly available sources to support informed decision-making.

What are some common challenges faced by professionals in Commission Open Source Intelligence roles, and how can they be addressed?

Professionals in Commission Open Source Intelligence (OSINT) roles often encounter challenges such as verifying the credibility of publicly available information, managing large volumes of data, and staying updated with evolving digital platforms. Overcoming these challenges requires strong analytical skills, effective use of verification tools, and continuous professional development to keep pace with new technologies. Collaboration with cross-functional teams, such as cybersecurity analysts and law enforcement agencies, also enhances the accuracy and relevance of intelligence assessments.

What cities near Springfield, MA are hiring for Commission Open Source Intelligence jobs?

Cities near Springfield, MA with the most Commission Open Source Intelligence job openings:

AI/ML Engineer

Hartford, CT • Remote

1 point system
51 - 200 employees

Contractor

Posted 5 days ago


Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.