About Ava Community EnergyAva Community Energy (Ava) is a Joint Powers Authority comprising Alameda County and its incorporated areas, and the cities of Lathrop, Stockton, and Tracy. Ava’s charter is to provide its customers with low carbon, cost-effective electricity that integrates innovative energy products and maximizes local benefits through the development of local solutions, ranging from increasing access to rooftop solar to supporting the adoption of electric vehicles. Culture and Commitment to DiversityAva believes in a vibrant culture that supports and nurtures a workplace that offers every individual the opportunity to attain professional goals and contribute to accomplishing our mission. We foster a culture of open communication, responsibility, curiosity, accountability, and teamwork. We want creative problem solvers that are excited to work in an entrepreneurial environment and grow our organization! As an equal opportunity employer, we are committed to diversity, equity, and inclusion. We are committed to a diverse and inclusive workforce that is reflective of our service area’s rich culture and communities. We welcome a diversity of experiences, perspectives, and skills. We strongly encourage people of all characteristics to apply and prohibit unlawful discrimination and harassment of any type based on age, religion, color, gender identity or expression, race, ancestry, or national origin, religion or creed, marital status, military or veteran status, sexual orientation, genetic information or characteristics, and those with a disability as protected by federal, state and local lawsPosition SummaryAva is seeking to hire a full-time Analytics and ML (Machine Learning) Ops Engineer to join our growing Analytics team, reporting to the Principal Data Scientist. Ava is looking for a software engineer with experience in data pipelines and data wrangling who can expand and optimize Ava’s existing data infrastructure, extensively collaborating with our Power Resources, Salesforce, Data Science, Modeling and Analytics teams. We are looking for someone who can navigate both the realms of Advanced Analytics, Data and Software Engineering. We’re looking for an&nbsp; Analytics and ML Ops Engineer who communicates effectively, is highly collaborative in nature, and who will be excited about contributing to&nbsp;Ava’s technology stack and broader mission.As an Analytics &amp; ML Ops Engineer, you will be responsible for building and maintaining scalable, reliable infrastructure to support analytics workflows, data science experimentation, and machine learning operations. Your work will empower Ava’s data-driven decision-making and accelerate the development and deployment of impactful models and insights.<h4>Position Details&nbsp;</h4><h4>Essential Duties and Responsibilities&nbsp;</h4>Infrastructure for Analytics &amp; ML:<ul><li>Design, implement, and manage robust, scalable pipelines for analytics and machine learning, ensuring seamless data ingestion, transformation, and accessibility across internal teams.</li><li>Collaborate closely with data scientists and analysts to productionize ML models, streamline experimentation workflows, and maintain model reproducibility and versioning.</li><li>Maintain and optimize data storage solutions and query performance, prioritizing cost-efficiency and scalability within Google Cloud Platform (GCP).</li><li>Implement ML Ops best practices, including model CI/CD, feature store management, and metadata tracking.</li></ul>Automation &amp; Monitoring:<ul><li>Automate routine analytics workflows and model lifecycle stages to accelerate deployment and reduce manual overhead.</li><li>Develop monitoring and alerting systems to ensure high reliability of ML pipelines and analytics dashboards.</li><li>Drive internal process improvements by refactoring legacy systems and supporting the transition to containerized, serverless frameworks (e.g., GCP Cloud Run).</li></ul>DevOps for Analytics, Optimization &amp; ML:<ul><li>Collaborate with engineering and DevOps teams to refine version control practices, manage infrastructure as code (Terraform), and integrate GitHub Actions for end-to-end automation of analytics, optimization and ML pipelines.</li><li>Support CI/CD pipelines for both analytics infrastructure and ML models, enabling continuous delivery of insights and innovation.</li></ul>Data &amp; Platform Governance:<ul><li>Establish and enforce data governance, monitoring, and quality protocols to uphold analytical integrity.</li><li>Strengthen the use of GCP best practices in analytics and engineering, including but not limited to identity and access management (IAM) and data security practices to safeguard sensitive data and ensure regulatory compliance.</li></ul>Innovation and Open Source:<ul><li>Contribute to Ava’s open-source tools and packages that support clean energy solutions and data accessibility</li></ul>Cross-Functional Support:<ul><li>Provide technical support for bug resolution, process testing, code reviews and maintain optimal performance across analytics and ML teams in EAS, Power Resources and other functional teams across Ava.&nbsp;</li><li>Play a key role in connecting engineering, analytics, and DevOps to accelerate Ava’s data-driven initiatives.</li></ul>Other duties as required.&nbsp;<h4>Minimum Qualifications</h4><ul><li>Bachelor's degree in Computer Science, Engineering, or a related data/analytics-intensive field.</li><li>5+ years of hands-on experience at the intersection of data engineering, analytics, and ML infrastructure.</li><li>Strong background in building and optimizing analytics and ML pipelines and tools in collaborative environments.</li><li>Experience maintaining production-grade infrastructure for machine learning workflows and analytics systems.</li><li>Proficiency in Python and SQL (BigQuery experience preferred).</li><li>Deep experience with Bash scripting, Linux environments, and cloud services (preferably Google Cloud Platform).</li><li>Experience with containerized application environments (e.g., Docker, Kubernetes) and orchestration.</li><li>Proficiency with workflow orchestration tools (e.g., Airflow, Luigi).</li><li>Strong Git/GitHub version control and DevOps collaboration practices.</li><li>Familiarity with infrastructure as code tools (e.g., Terraform).</li></ul>Compensation and Benefits&nbsp;The annual salary for this position is $178,774 with a Total Compensation of up to $196,651 annually based on performance.&nbsp;Ava offers a generous benefits package which includes:&nbsp;<ul><li>Zero cost Individual, family, and domestic partner health insurance (medical, dental, vision)&nbsp;</li><li>Life and AD&amp;D, EAP, STD, and LTD&nbsp;</li><li>Retirement with Employer Matching&nbsp;&nbsp;</li><li>Paid Time Off and Holidays</li><li>Fertility &amp; Adoption Benefits</li><li>Pet Insurance</li><li>Mental Health Support</li><li>Flexible Spending Accounts (health and dependent care accounts)&nbsp;</li><li>Paid Volunteer Days</li><li>And More!</li></ul>Location and Working Conditions&nbsp;This position will be based in Ava headquarters in Oakland, near BART. Ava's team has a hybrid approach inclusive of in-office and remote work. This role is expected to go into the office on Tuesday, Thursday, and the first Wednesday of the month. This role is eligible for H-1B visa transfers.The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Ava is dedicated to reasonably accommodate an applicant for known physical or mental disabilities so that the applicant may participate in the application process.&nbsp; We will engage in a timely, good-faith interactive process with any employee with a known physical or mental disability to identify potential reasonable accommodations, if any, to enable the employee to perform the essential functions of their position.&nbsp;<ul><li>General office environment is primarily sedentary work which requires the following physical activities: standing, sitting, walking, reaching, lifting, finger dexterity, grasping, repetitive motions, talking, hearing and visual acuity.&nbsp;</li><li>The employee must occasionally lift and/or move up to 10 pounds.&nbsp;</li><li>The noise level is usually moderate.&nbsp;</li></ul>Licenses/Certificates&nbsp;<ul><li>Possession and continued maintenance of a valid class C California driver’s license or the ability to provide alternate transportation and a safe driving record.&nbsp;</li></ul>Working at Ava Community Energy&nbsp;Ava is committed to complying with applicable laws, including the Americans with Disability Act and Fair Employment and Housing Act, ensuring equal employment opportunities to qualified individuals with a disability. Ava prohibits unlawful discrimination based on age, sex or gender (including pregnancy, childbirth, breastfeeding or related medical conditions), genetic information or characteristics, gender identity, gender expression, race, color, ancestry, national origin, religion, creed, marital status, military or veteran status, sexual orientation, physical or mental disability, medical condition, or on any other basis prohibited by federal, state, or local laws. Ava strives to maintain a COVID-free workplace, being fully vaccinated is a condition of employment (exemptions will be evaluated by legal council).&nbsp;The information contained herein has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The information also does not constitute either an expressed or implied contract, and these provisions are subject to change.

Ava Community Energy (Ava) is a Joint Powers Authority comprising Alameda County and its incorporated areas, and the cities of Lathrop, Stockton, and Tracy. Ava’s charter is to provide its customers with low carbon, cost-effective electricity that integrates innovative energy products and maximizes local benefits through the development of local solutions, ranging from increasing access to rooftop solar to supporting the adoption of electric vehicles.Ava exists to provide more renewable energy at&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://avaenergy.org/your-energy-options/compare-service-plans/">competitive rates</a>&nbsp;to our customers. We reinvest the earnings back into the community to create local green energy jobs, local&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://avaenergy.org/go-electric">programs</a>, and clean power projects. We supply electricity to all accounts (residential, business, and municipal) and PG&amp;E delivers it to you.

Analytics & Machine Learning Ops Engineer

About Ava Community EnergyAva Community Energy (Ava) is a Joint Powers Authority comprising Alameda County and its incorporated areas, and the cities of Lathrop, Stockton, and Tracy. Ava’s charter is to provide its customers with low carbon, cost-effective electricity that integrates innovative energy products and maximizes local benefits through the development of local solutions, ranging from increasing access to rooftop solar to supporting the adoption of electric vehicles. Culture and Commitment to DiversityAva believes in a vibrant culture that supports and nurtures a workplace that offers every individual the opportunity to attain professional goals and contribute to accomplishing our mission. We foster a culture of open communication, responsibility, curiosity, accountability, and teamwork. We want creative problem solvers that are excited to work in an entrepreneurial environment and grow our organization! As an equal opportunity employer, we are committed to diversity, equity, and inclusion. We are committed to a diverse and inclusive workforce that is reflective of our service area’s rich culture and communities. We welcome a diversity of experiences, perspectives, and skills. We strongly encourage people of all characteristics to apply and prohibit unlawful discrimination and harassment of any type based on age, religion, color, gender identity or expression, race, ancestry, or national origin, religion or creed, marital status, military or veteran status, sexual orientation, genetic information or characteristics, and those with a disability as protected by federal, state and local lawsPosition SummaryAva is seeking to hire a full-time Analytics and ML (Machine Learning) Ops Engineer to join our growing Analytics team, reporting to the Principal Data Scientist. Ava is looking for a software engineer with experience in data pipelines and data wrangling who can expand and optimize Ava’s existing data infrastructure, extensively collaborating with our Power Resources, Salesforce, Data Science, Modeling and Analytics teams. We are looking for someone who can navigate both the realms of Advanced Analytics, Data and Software Engineering. We’re looking for an&nbsp; Analytics and ML Ops Engineer who communicates effectively, is highly collaborative in nature, and who will be excited about contributing to&nbsp;Ava’s technology stack and broader mission.As an Analytics &amp; ML Ops Engineer, you will be responsible for building and maintaining scalable, reliable infrastructure to support analytics workflows, data science experimentation, and machine learning operations. Your work will empower Ava’s data-driven decision-making and accelerate the development and deployment of impactful models and insights.<h4>Position Details&nbsp;</h4><h4>Essential Duties and Responsibilities&nbsp;</h4>Infrastructure for Analytics &amp; ML:<ul><li>Design, implement, and manage robust, scalable pipelines for analytics and machine learning, ensuring seamless data ingestion, transformation, and accessibility across internal teams.</li><li>Collaborate closely with data scientists and analysts to productionize ML models, streamline experimentation workflows, and maintain model reproducibility and versioning.</li><li>Maintain and optimize data storage solutions and query performance, prioritizing cost-efficiency and scalability within Google Cloud Platform (GCP).</li><li>Implement ML Ops best practices, including model CI/CD, feature store management, and metadata tracking.</li></ul>Automation &amp; Monitoring:<ul><li>Automate routine analytics workflows and model lifecycle stages to accelerate deployment and reduce manual overhead.</li><li>Develop monitoring and alerting systems to ensure high reliability of ML pipelines and analytics dashboards.</li><li>Drive internal process improvements by refactoring legacy systems and supporting the transition to containerized, serverless frameworks (e.g., GCP Cloud Run).</li></ul>DevOps for Analytics, Optimization &amp; ML:<ul><li>Collaborate with engineering and DevOps teams to refine version control practices, manage infrastructure as code (Terraform), and integrate GitHub Actions for end-to-end automation of analytics, optimization and ML pipelines.</li><li>Support CI/CD pipelines for both analytics infrastructure and ML models, enabling continuous delivery of insights and innovation.</li></ul>Data &amp; Platform Governance:<ul><li>Establish and enforce data governance, monitoring, and quality protocols to uphold analytical integrity.</li><li>Strengthen the use of GCP best practices in analytics and engineering, including but not limited to identity and access management (IAM) and data security practices to safeguard sensitive data and ensure regulatory compliance.</li></ul>Innovation and Open Source:<ul><li>Contribute to Ava’s open-source tools and packages that support clean energy solutions and data accessibility</li></ul>Cross-Functional Support:<ul><li>Provide technical support for bug resolution, process testing, code reviews and maintain optimal performance across analytics and ML teams in EAS, Power Resources and other functional teams across Ava.&nbsp;</li><li>Play a key role in connecting engineering, analytics, and DevOps to accelerate Ava’s data-driven initiatives.</li></ul>Other duties as required.&nbsp;<h4>Minimum Qualifications</h4><ul><li>Bachelor's degree in Computer Science, Engineering, or a related data/analytics-intensive field.</li><li>5+ years of hands-on experience at the intersection of data engineering, analytics, and ML infrastructure.</li><li>Strong background in building and optimizing analytics and ML pipelines and tools in collaborative environments.</li><li>Experience maintaining production-grade infrastructure for machine learning workflows and analytics systems.</li><li>Proficiency in Python and SQL (BigQuery experience preferred).</li><li>Deep experience with Bash scripting, Linux environments, and cloud services (preferably Google Cloud Platform).</li><li>Experience with containerized application environments (e.g., Docker, Kubernetes) and orchestration.</li><li>Proficiency with workflow orchestration tools (e.g., Airflow, Luigi).</li><li>Strong Git/GitHub version control and DevOps collaboration practices.</li><li>Familiarity with infrastructure as code tools (e.g., Terraform).</li></ul>Compensation and Benefits&nbsp;The annual salary for this position is $178,774 with a Total Compensation of up to $196,651 annually based on performance.&nbsp;Ava offers a generous benefits package which includes:&nbsp;<ul><li>Zero cost Individual, family, and domestic partner health insurance (medical, dental, vision)&nbsp;</li><li>Life and AD&amp;D, EAP, STD, and LTD&nbsp;</li><li>Retirement with Employer Matching&nbsp;&nbsp;</li><li>Paid Time Off and Holidays</li><li>Fertility &amp; Adoption Benefits</li><li>Pet Insurance</li><li>Mental Health Support</li><li>Flexible Spending Accounts (health and dependent care accounts)&nbsp;</li><li>Paid Volunteer Days</li><li>And More!</li></ul>Location and Working Conditions&nbsp;This position will be based in Ava headquarters in Oakland, near BART. Ava's team has a hybrid approach inclusive of in-office and remote work. This role is expected to go into the office on Tuesday, Thursday, and the first Wednesday of the month. This role is eligible for H-1B visa transfers.The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Ava is dedicated to reasonably accommodate an applicant for known physical or mental disabilities so that the applicant may participate in the application process.&nbsp; We will engage in a timely, good-faith interactive process with any employee with a known physical or mental disability to identify potential reasonable accommodations, if any, to enable the employee to perform the essential functions of their position.&nbsp;<ul><li>General office environment is primarily sedentary work which requires the following physical activities: standing, sitting, walking, reaching, lifting, finger dexterity, grasping, repetitive motions, talking, hearing and visual acuity.&nbsp;</li><li>The employee must occasionally lift and/or move up to 10 pounds.&nbsp;</li><li>The noise level is usually moderate.&nbsp;</li></ul>Licenses/Certificates&nbsp;<ul><li>Possession and continued maintenance of a valid class C California driver’s license or the ability to provide alternate transportation and a safe driving record.&nbsp;</li></ul>Working at Ava Community Energy&nbsp;Ava is committed to complying with applicable laws, including the Americans with Disability Act and Fair Employment and Housing Act, ensuring equal employment opportunities to qualified individuals with a disability. Ava prohibits unlawful discrimination based on age, sex or gender (including pregnancy, childbirth, breastfeeding or related medical conditions), genetic information or characteristics, gender identity, gender expression, race, color, ancestry, national origin, religion, creed, marital status, military or veteran status, sexual orientation, physical or mental disability, medical condition, or on any other basis prohibited by federal, state, or local laws. Ava strives to maintain a COVID-free workplace, being fully vaccinated is a condition of employment (exemptions will be evaluated by legal council).&nbsp;The information contained herein has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The information also does not constitute either an expressed or implied contract, and these provisions are subject to change.

Analytics & Machine Learning Ops Engineer

About the Job

About the Company

Ava Community Energy

Similar Jobs

Software Engineer (Backend)

Software Engineer (Backend)

Machine Learning Engineer

Machine Learning Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Staff BI/Analytics Engineer

Staff BI/Analytics Engineer

Data Analytics Engineer-AWB

Data Analytics Engineer-AWB

Engineer - Cloud and Generative AI

Engineer - Cloud and Generative AI

Senior Machine Learning Ops Engineer

Senior Machine Learning Ops Engineer

Applied Scientist - Remote Sensing & Analytics

Applied Scientist - Remote Sensing & Analytics

Senior Data Engineer

Senior Data Engineer