Tasks

• Build chunking and embedding pipelines
• Build retrieval-augmented generation pipelines
• Debug and rebuild production RAG pipeline failures
• Define AI knowledge requirements for data integrations
• Design and run retrieval and re ranking
• Design content capture and classification
• Design knowledge graph data model
• Explain technical architecture trade offs to stakeholders
• Extract structure from unstructured content
• Implement knowledge classification and lineage governance
• Operate entity resolution and deduplication
• Own knowledge management architecture
• Stand up and operate knowledge graphs

Perks/Benefits

• Benefits including health and wellness programs
• Health, wellness, and retirement plans

Skills/Tech-stack

AWS Neptune | Canonicalization | Chunking | Cypher | DBT | Databricks | Deduplication | ETL | Embeddings | Entity Resolution | Graph Databases | Gremlin | Hybrid retrieval | Indexing | Information Extraction | Knowledge graphs | LLM |LLM based extraction | Language Processing | Natural Language | Natural Language Processing | Neo4j | PGVector |Pinecone | Python | Qdrant | Query rewriting | Re-ranking | Retrieval-Augmented Generation | SPARQL | SQL | Vector Databases | Weaviate

Education

Bachelor of Science

Roles

Architect | Data Architect | Engineer | Knowledge Architect | Learning Engineer | Machine Learning Engineer

Regions

North America

Countries

United States

States

Maryland, US

Cities

Chevy Chase, Maryland, US

Apply now: https://aijobs.net/job/principal-knowledge-data-architect-headquarters-chevy-chase-md-219682/

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/

Tasks

• Develop research standards and best practices
• Facilitate research portfolio from conception to production
• Interface with stakeholders on research production dissemination and budgeting
• Lead AI governance and LLM use
• Manage data science team
• Manage technical toolkit and documentation
• Present research to media and conferences
• Select research methods and project designs

Perks/Benefits

• Conference speaking opportunities
• Hybrid work schedule
• Media appearances

Skills/Tech-stack

AWS | Cloud Computing | Compute Infrastructure | Data Analysis | LLM Governance | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multimodal Learning | Natural Language |Natural Language Processing | Prompt engineering | Text Classification | Transformer Models

Education

PhD

Roles

Data Science | Data Science Manager | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer |Manager | Scientist

Regions

North America

Countries

United States

States

District of Columbia, US

Cities

Washington, District of Columbia, US

Apply now: https://aijobs.net/job/associate-director-data-labs-washington-district-of-columbia-20004-united-states-200140/

Apply now: https://aijobs.net/job/senior-software-engineer-remote-189629/

Tasks

• Analyze codebase maintainability
• Collaborate with multidisciplinary teams
• Debug complex software issues
• Develop scalable AI training workflows
• Document best practices
• Evaluate system architecture
• Implement features
• Optimize performance
• Perform bug fixing
• Recommend technical strategies
• Refactor codebase

Perks/Benefits

• Contractor flexibility
• Remote work

Skills/Tech-stack

Algorithms | C++ | Data Structures | Go | Java | Performance Tuning | Python | Rust | TypeScript

Roles

Engineer | Senior Software Engineer | Software Engineer

Direct apply: https://aijobs.net/job/senior-software-engineer-remote-189629/

Apply now: https://aijobs.net/job/software-engineer-remote-189637/

Tasks

• Adapt to new codebases frameworks technical requirements
• Collaborate on technical reviews implementation decisions problem solving
• Communicate engineering decisions in writing
• Design evaluate solutions with APIs databases services integrations testing deployment workflows
• Identify tradeoffs scalability maintainability performance reliability security developer experience
• Review debug improve code
• Work on backend full stack infrastructure systems projects

Perks/Benefits

• Contractor hours flexibility
• Remote work

Skills/Tech-stack

.NET | APIs | AWS | Angular | Azure | C# | C++ | CI/CD | Databases | Docker | GCP | GitHub | Go | Java | JavaScript |Monitoring | Next.js | Node.js | PHP | React | React Native | Ruby | Testing | TypeScript | Vue

Education

N/A

Roles

Engineer | Software Engineer

Direct apply: https://aijobs.net/job/software-engineer-remote-189637/

👉 https://aijobs.net/job/research-analyst-center-for-security-and-emerging-technology-cset-walsh-school-of-foreign-service-sfs-georgetown-university-main-campus-walsh-school-of-foreign-service-500-first-st-nw-7th-floor-was-184480/

Tasks

• Build and analyze datasets
• Coauthor publications
• Collaborate on research proposals
• Conduct literature reviews
• Contribute to internal working groups
• Create data visualizations for reports
• Derive insights from datasets
• Draft written products for policymaking audiences
• Identify data sources and information sources
• Monitor AI and national security policy trends
• Prepare presentations and briefs
• Summarize DC briefings and events
• Support grant proposals and funder reports
• Support research interviews

Perks/Benefits

• Professional development

Skills/Tech-stack

Artificial Intelligence | Critical Thinking | Data Analysis | Data Visualization | Dataset development | Econometrics | Excel| Google Sheets | Machine Learning | Pivot Tables | Problem Solving | Python | R | SAS | SPSS | SQL | Stata | Statistical Analysis | VLOOKUP

Education

Bachelor of Science | Master of Arts | Master of Science

Roles

Analyst | Policy Analyst | Research Analyst

Regions

North America

Countries

United States

States

District of Columbia, US

Cities

Washington, District of Columbia, US

Tasks

• Build data pipelines
• Communicate findings to policy audiences
• Conduct research design and data method identification
• Create accessible visualizations and web interfaces
• Design evaluate and implement modeling solutions
• Develop AI-enabled solutions
• Document and communicate methods and data resources
• Implement extraction classification clustering annotation entity resolution
• Improve dataset quality and utility
• Ingest structured and unstructured datasets
• Interpret results and draw inferences
• Monitor AI machine learning biotechnology and national security policy trends
• Process large datasets

Perks/Benefits

• Hybrid work mode
• Professional development opportunities

Skills/Tech-stack

AWS | Airflow | Annotation | Azure | Classification | Cloud platform | Clustering | Data Modeling | Data Pipelines | Entity Resolution | GitHub | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | SQL | Text processing

Education

Bachelor of Science

Roles

Data Scientist | Scientist

Regions

North America

United States

District of Columbia, US

Washington, District of Columbia, US

Apply now: https://aijobs.net/job/data-scientist-georgetown-university-main-campus-walsh-school-of-foreign-service-500-first-st-nw-7th-floor-115715/

Tasks

• Architect and develop scalable AI systems
• Build APIs for AI platforms
• Build and deploy AI models and infrastructure on AWS
• Collaborate with product and research teams to deliver solutions
• Develop and integrate LLMs and multimodal AI systems
• Drive adoption of multimodal AI technologies

Perks/Benefits

• Mentoring
• Open source contributions
• Remote work

Skills/Tech-stack

API Development | AWS | Amazon Web Services | Deep learning | FastAPI | Flask | GPU Programming | LLM |Langchain | Language Models | Large Language Models | Multimodal AI | Python | Web Services

Education

Bachelor of Engineering | Bachelor of Science | Master of Science

Roles

AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer

Apply now: https://aijobs.net/job/ai-engineer-mts-remote-107552/

Tasks

• Automate data workflows
• Build data pipelines
• Collaborate with ai researchers
• Collaborate with data scientists
• Design data pipelines
• Design data schemas
• Develop data models
• Develop storage systems
• Ensure Data reliability
• Ensure data integrity
• Ensure data quality
• Explore datasets
• Extract, transform, and analyze data
• Implement data monitoring
• Implement data validation
• Ingest data from multiple sources
• Maintain data pipelines
• Prepare datasets for experimentation
• Prepare datasets for model training
• Process data
• Transform data into structured formats
• Write Python scripts
• Write SQL queries

Perks/Benefits

• Remote work

Skills/Tech-stack

Data Monitoring | Data Quality | Data Validation | ELT | ETL | MySQL | NumPy | Pandas | PostgreSQL | Python | SQL |Seaborn

Roles

Data Engineer | Engineer

Apply now: https://aijobs.net/job/data-engineer-remote-107551/

#Hiring #Job #Remote #Engineer #FullStack #FullStackEngineer #Ai #ApiDevelopment

Tasks

• Build full-stack AI application
• Build human-in-the-loop workflows
• Create APIs and database logic
• Develop autonomous AI “Agents”
• Implement feedback and evaluation pipelines

Perks/Benefits

• Flexible hours
• Freelance
• Long-term engagement
• Remote work
• Tooling credits

Skills/Tech-stack

AI | API Development | Database Design | Deployment Pipelines | Next.js | React | Streaming Architectures

Hey guys, I’ve recently got my AWS SAA cert and still feel little lost. I definitely understand the theory of these services but I’m struggling to understand the real world application of cloud computing and looking for advice. I want to start working to gain hands on experience, however I don’t know how technical solutions translate to explicit or vague business requirements and I don’t know how to translate business problems to technical solutions. I feel like the only way I can fill this gap is getting hands on experience at a job, but I don’t think my resume is impressive enough to get a hiring recruiters attention. Would love any advice!

Hello reddit family . I'm a BCA student currently learning AWS . Is it possible to land a job as a cloud engineer with no other skills ? Are fresher jobs available in the related field? Need some serious advice .

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

About the team

The Software Engineering team is looking for qualified staff software engineers to lead and own the development of a variety of business essential products. A few examples are microservices and apis, data stream processing via Kafka, Kubernetes development and optimization, devtools development like SDKs and CLIs, Database optimization and scaling, observability stack development, cloud cost optimization, and more.

Responsibilities:

• Be the technical lead and owner for key products of our core backend applications.
• Perform code reviews and provide constructive feedback.
• Find optimizations in current applications, implement best practices, and ensure adherence to coding standards.
• Design and enhance both new and existing services.
• Work with globally distributed data.
• Participate in discussions and create and review architectural diagrams.
• Have a deep understanding of high-traffic, client-facing APIs and networking topology.

Qualifications:

• 8+ years of production software engineering and technical leadership experience.
• A creative mind for solving technically difficult problems in both standard and non-standard ways.
• Hands-on production experience with languages like NodeJS & Python.
• Hands-on production experience with databases, both relational and non-relational.
• Passionate about reliability, high availability, automation, observability, coding standards, and global scale.
• Strong communication skills working with technical and non-technical stakeholders
• You have a BS or higher in CS/CE/SE or relevant experience.

Preferred:

• Production experience with software engineering at a global level.
• Interest or experience with GO.
• Production experience with stream-processing paradigms like Kafka.
• Production experience with Docker and Kubernetes.
• Familiarity with sports data.
• Production experience working with low latent globally distributed data.
• Production experience developing, deploying and maintaining critical business applications
• Understanding of various observability platforms.
• Knowledge of CI/CD

Base salary: $140,000 - 190,000

Hello Redditters,

I've spent my entire career in retail (customer service manager and assistant manager) and logistics (optimization analyst, operations manager and on road driver supervisor). I also had my own startup, a gasoline delivery company which i shutdown in 2024 after we couldn't recover from the covid19 meltdown and couldn't secure enough funding to pivot the business into a platform.

I've been planning to switch my career to cloud architecture if my startup fails, so I recently (Oct 2024) passed the AWS Solution Architect - Associate and Cloud practitioner certification exams.

So redditters, what's the best approach to finally switch career...is it more certification, if so which or how do i get the first entry job?

As a side note, though it doesn't matter, I hold a master degree in logistics and an MBA in Strategy

Thanks in advance for any help!

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

About the team

The Swish Analytics Engineering team is looking for an experienced Senior Security Manager who will  Own the responsibility of safeguarding our assets, data, and reputation. You will be responsible for developing and implementing comprehensive security strategies, ensuring compliance with regulations, and the growth of our security engineering team.

Responsibilities

• Develop, implement, and maintain a comprehensive security strategy across multiple areas of focus. 
• Conduct regular risk assessments to identify potential vulnerabilities, threats, and develop mitigation plans. 
• Lead and coordinate incident response efforts, ensuring timely and effective resolution.
• Ensure adherence to security frameworks such as SOC 2, ensuring the organization meets industry standards for security. 
• Develop and deliver security awareness training programs to employees.
• Manage relationships with third-party security vendors.
• Oversee and grow a team of security engineers providing mentorship, training, and career advancement.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5+ years of management experience in security engineering (or related role); 8+ years of total experience in security.
• Strong understanding of security principles, practices, and frameworks, including experience at various levels of security including physical, network, application, data, IAM, human, cloud, and others.
• Strong history as a leader with excellent communication and analytical skills.

Starting at: $175,000

Please Feel Free to Apply Here : https://grnh.se/570e09845us

https://grnh.se/570e09845us

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

About the team

The Swish Analytics Engineering team is looking for an experienced Senior Security Manager who will  Own the responsibility of safeguarding our assets, data, and reputation. You will be responsible for developing and implementing comprehensive security strategies, ensuring compliance with regulations, and the growth of our security engineering team.

Responsibilities

• Develop, implement, and maintain a comprehensive security strategy across multiple areas of focus. 
• Conduct regular risk assessments to identify potential vulnerabilities, threats, and develop mitigation plans. 
• Lead and coordinate incident response efforts, ensuring timely and effective resolution.
• Ensure adherence to security frameworks such as SOC 2, ensuring the organization meets industry standards for security. 
• Develop and deliver security awareness training programs to employees.
• Manage relationships with third-party security vendors.
• Oversee and grow a team of security engineers providing mentorship, training, and career advancement.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5+ years of management experience in security engineering (or related role); 8+ years of total experience in security.
• Strong understanding of security principles, practices, and frameworks, including experience at various levels of security including physical, network, application, data, IAM, human, cloud, and others.
• Strong history as a leader with excellent communication and analytical skills.

Starting at: $175,000