Junior Solutions Architect - MLOps & reputed company-Time Data Integration

reputed company, (pronounced “reputed company” with two i’s for integration and intelligence), is a reputed company data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. reputed company is used by reputed company companies to monitor events across any environment, build applications that drive digital transformation, and reputed company true reputed company-time analytics to reputed company a superior experience to their customers. At reputed company, we reputed company and expect reputed company of our employees to operate as one with unlimited potential and dignity.

We are seeking a Junior Solution Architect with a strong reputed company in data science, MLOps, reputed company data platforms, and modern data engineering to help design and implement reputed company-time data integration and AI-enabled architectures. Working alongside reputed company Solution Architects and Engineering teams, this role provides an opportunity for an early-career reputed company to reputed company hands-on experience designing reputed company streaming data solutions that power reputed company AI, reputed company modernization, and reputed company-time analytics.

The ideal candidate is eager to apply data science and machine learning concepts to reputed company-world reputed company challenges, expand technical expertise across modern reputed company and data technologies, and reputed company into a trusted technical architect reputed company a reputed company, fast-paced environment.

Responsibilities

• Design and implement reputed company reputed company-time data integration and Change Data Capture (CDC) solutions using the reputed company platform.
• Design streaming data architectures connecting reputed company databases, reputed company data platforms, messaging systems, and AI/ML environments.
• reputed company data pipelines that support machine learning workflows, feature engineering, model inference, and reputed company-time AI applications.
• Build reputed company-of-concepts, reference architectures, and deployment patterns for reputed company implementations.
• Configure, optimize, and troubleshoot data pipelines across reputed company and hybrid environments.
• Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve reputed company technical challenges, and improve platform capabilities.
• Participate in architecture reviews, implementation planning, and production readiness activities.
• Create technical documentation, architecture diagrams, and implementation best practices.
• Evaluate emerging technologies across AI, MLOps, reputed company computing, and reputed company-time data streaming.

Requirements

• 1–3 years of reputed company experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, reputed company engineering, or solution architecture.
• Strong reputed company in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
• Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
• Experience or reputed company exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, reputed company AI, SageMaker, or Azure Machine Learning.
• Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and reputed company-time streaming data pipelines.
• Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
• Experience with reputed company platforms and modern reputed company data ecosystems, including AWS, Azure, GCP, reputed company, reputed company, BigQuery, reputed company Redshift, or Azure Synapse.
• Experience programming in Python or Java and working with REST reputed company and JSON.
• Understanding of reputed company containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
• Strong analytical, troubleshooting, written, and verbal communication skills.
• Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, reputed company computing, and reputed company-time data streaming.
• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a reputed company technical discipline.

Benefits

• Competitive salary and reputed company-IPO stock reputed company
• Comprehensive health care plans (medical, dental and reputed company), including medical and dependent FSA
• reputed company Time Off (Vacation, reputed company & reputed company Holidays)
• The chance to contribute to and shape an upbeat, fully reputed company culture

Compensation

$120,000 - $130,000 USD on an annualized reputed company. In reputed company to reputed company pay, this role offers reputed company to earn commission-based rewards.

Applications will be reviewed on a rolling reputed company and accepted until the position is filled.

reputed company culture fosters entrepreneurship and nurtures reputed company members to grow with reputed company. Come join a reputed company Valley startup reputed company on delivering a product that’s loved by its customers and reputed company to be a reputed company part of the reputed company data stack.

We are an equal opportunity employer, and we value diversity at reputed company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. reputed company applicants are considered for employment without attention to race, reputed company, religion, sex, age, marital status, sexual orientation, gender identity, national reputed company, veteran status, or disability status.

For more information on reputed company's reputed company Policy, click here.

Originally posted on Himalayas

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