Stellar is a company that provides AI and data expert solutions, building full-stack generative AI-driven business applications. They offer expertise across the data stack, focusing on applications, operations, and data services. Their services include AI workshops and assessments, building first AI applications, expanding AI use cases, and implementing enterprise AI solutions. They cater to various industries like healthcare, industrial IoT, consumer packaged goods, data integration, mergers and acquisitions, and application development. Stellar emphasizes ethical and responsible AI, focusing on delivering real AI solutions that drive business value. They have a strong focus on human-centered AI transformation and offer various job opportunities in data science and engineering.
• generative ai solutions
• data analysis and visualization
• ethical and responsible ai practices
• ai workshops and assessments
• data integration and warehousing
• ai-powered application development
• machine learning (ml) applications
• large language model (llm) integration
Software Developer
Stellar AI builds full-stack generative AI applications, focusing on ethical AI and delivering real business value through data analysis, application development, and consulting services.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience Requirements:
3+ years of experience as a software developer, with a focus on developing AI-powered tools and applications
Other Requirements:
Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, or PyTorch
Familiarity with AI model deployment and scaling techniques, including containerization and cloud technologies
Strong understanding of ethical AI principles and responsible AI development practices
Experience with Agile or similar development methodologies
Excellent problem-solving and critical-thinking skills
Effective communication and collaboration skills
Knowledge of AI-related libraries, frameworks, and technologies, including blockchain integration, language chains, and vector databases, is a significant advantage
Responsibilities:
AI Tool and Application Development
Innovative Infrastructure
Ethical AI
Continuous Learning
Quality Assurance
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Sr. Consultative Data Scientist
Stellar AI builds full-stack generative AI applications, focusing on ethical AI and delivering real business value through data analysis, application development, and consulting services.
Education Requirements:
Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field
Experience Requirements:
5+ years of experience in data analysis, statistical modeling, and/or machine learning
Other Requirements:
Strong consulting and client-facing skills
Excellent communication and presentation skills
Strong problem-solving and critical thinking skills
Proficiency in programming languages such as Python or R
Experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.
Strong project management skills
Responsibilities:
Work collaboratively with clients to understand their business objectives and data-related challenges
Develop and implement custom data analysis solutions
Provide expert guidance and advice on data-related issues to clients
Collaborate with cross-functional teams
Communicate complex data analysis concepts and results to non-technical stakeholders in a clear and concise manner
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Data Engineer I
Stellar AI builds full-stack generative AI applications, focusing on ethical AI and delivering real business value through data analysis, application development, and consulting services.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Experience Requirements:
3+ years of experience in data engineering, ETL development, and database architecture design
3+ years experience with Snowflake
Other Requirements:
Proficiency in programming languages such as Python, Java, or Scala
Experience with SQL and NoSQL databases, data warehousing, and data modeling
Familiarity with cloud-based data processing and storage platforms such as AWS, Azure and GCP
Strong problem-solving and critical thinking skills
Excellent communication and collaboration skills
Experience with data security and privacy regulations such as GDPR and HIPAA
Responsibilities:
Design, build, and maintain data pipelines and infrastructure
Work closely with cross-functional teams to understand business needs and develop scalable data solutions
Develop and maintain data models, ETL processes, and database architectures
Monitor data quality and proactively identify and address data-related issues
Design and implement data security measures and ensure compliance with data privacy regulations
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