Spinnaker Analytics builds powerful predictive algorithms to engineer our clientsâ growth. We combine data science with pragmatic business experience to develop advanced yet intuitive solutions for our clients, simplifying decision making and accelerating results.

Responsibilities: <ul><li>Production pipeline development/deployment</li><li>DevOps tools</li><li>Automation/Orchestration</li><li>Release management</li><li>Model Testing</li><li>Environment Security</li><li>Performance Testing</li><li>Data governance</li><li>Design the data pipelines and engineering infrastructure</li><li>Take offline models data scientists build and turn them into a real machine learning production system</li><li>Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems</li><li>Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, orchestration, etc.</li><li>Support model development, with an emphasis on auditability, versioning, and data security</li></ul> Skills-Sets Required: <ul><li>Cloud Application</li><li>Python</li><li>SQL Server</li><li>GitHub</li><li>Experience in container technologies</li><li>Automation and monitoring tools</li><li>Production pipeline deployment using cloud platforms</li></ul> Experience: <ul><li>Years of relevant Experience: 4-6 years (Must have)</li></ul> Desired Candidate Profile: <ul><li>IMMEDIATE JOINING</li><li>Excellent English communication and presentation skills, both verbal and written</li><li>Charismatic, competitive and enthusiastic personality with negotiation skills</li><li>Excellent interpersonal and customer-facing skills</li></ul>

Responsibilities:<ul><li>ML model development </li><li>Graph Analytics</li><li>Data/Semantic modelling </li><li>Graph databases</li><li>Research and develop statistical learning models for data analysis</li><li>Collaborate with product management and engineering departments to understand company needs and devise possible solutions</li><li>Keep up-to-date with latest technology trends</li><li>Communicate results and ideas to key decision makers</li><li>Implement new statistical or other mathematical methodologies as needed for specific models or analysis</li><li>Optimize joint development efforts through appropriate database use and project design</li></ul> Skills-Sets Required:<ul><li>Python (ML – Scikit-learn, Pandas)</li><li>SQL Server, Graph Database (Neo4JCosmo DB/Gremlin)</li><li>Insurance industry experience (Good to have)</li><li>Exposure to Sales/Marketing domain (Good to have)</li></ul> Experience: <ul><li>Years of relevant Experience: 5-7 years (Must have)</li></ul> Desired Candidate Profile:<ul><li>IMMEDIATE JOINING</li><li>Excellent English communication and presentation skills, both verbal and written</li><li>Charismatic, competitive and enthusiastic personality with negotiation skills</li><li>Excellent interpersonal and customer-facing skills</li></ul>

Responsibilities:<ul><li>Production pipeline development/deployment</li><li>DevOps tools</li><li>Automation/Orchestration</li><li>Release management</li><li>Model Testing</li><li>Environment Security</li><li>Performance Testing</li><li>Data governance</li><li>Design the data pipelines and engineering infrastructure</li><li>Take offline models data scientists build and turn them into a real machine learning production system</li><li>Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems</li><li>Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, orchestration, etc.</li><li>Support model development, with an emphasis on auditability, versioning, and data security</li></ul> Skills-Sets Required:<ul><li>Cloud Application</li><li>Python</li><li>SQL Server</li><li>GitHub</li><li>Experience in container technologies</li><li>Automation and monitoring tools</li><li>Production pipeline deployment using cloud platforms</li></ul> Experience: <ul><li>Years of relevant Experience: 4-6 years (Must have)</li></ul> Desired Candidate Profile:<ul><li>IMMEDIATE JOINING</li><li>Excellent English communication and presentation skills, both verbal and written</li><li>Charismatic, competitive and enthusiastic personality with negotiation skills</li><li>Excellent interpersonal and customer-facing skills</li></ul>

Spinnaker Analytics

ML DevOps Engineer

Data Scientist

ML DevOps Engineer