9,830 AI Operations jobs in India

AI Operations Engineer

Hyderabad, Andhra Pradesh GSPANN

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Job Description

Description GSPANN is hiring an AI Operations Engineer. The role focuses on deploying ML models, automating CI/CD pipelines, and implementing AIOps solutions.

Role and Responsibilities

  • Build, automate, and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning (ML) models.
  • Partner with data scientists to transition ML models from experimentation to production environments.
  • Use tools such as Docker, Kubernetes, MLflow, or Kubeflow to deploy, monitor, and maintain scalable ML systems.
  • Implement systems for model versioning, model drift detection, and performance tracking.
  • Maintain reproducibility and traceability of ML experiments and outputs.
  • Design and implement AIOps frameworks to enable predictive monitoring, anomaly detection, and intelligent alerting.
  • Leverage observability tools, including Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Dynatrace, and Datadog, to collect and analyze infrastructure and application metrics.
  • Utilize machine learning and statistical methods to identify patterns, automate root cause analysis, and forecast system behavior.
  • Write and maintain automation scripts that support remediation and incident response.
  • Skills and Experience

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related discipline.
  • Certification in DevOps or MLOps from AWS or GCP is preferred.
  • Understand Site Reliability Engineering (SRE) practices and metrics such as Service-Level Agreements (SLAs), Service-Level Indicators (SLIs), and Service-Level Objectives (SLOs).
  • Demonstrate strong programming proficiency in Python.
  • Work with ML lifecycle platforms such as MLflow, Kubeflow, TensorFlow Extended (TFX), and Data Version Control (DVC).
  • Use Docker and Kubernetes for containerization and orchestration.
  • Employ CI/CD tools including GitHub Actions, Jenkins, and GitLab CI/CD.
  • Operate monitoring and logging systems like Prometheus, Grafana, ELK, Datadog, and Splunk.
  • Possess hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Apply DevOps principles effectively and use infrastructure-as-code tools like Terraform and Ansible.
  • Handle projects involving Natural Language Processing (NLP), time-series forecasting, or anomaly detection models.
  • Build and manage large-scale distributed computing environments.
  • This advertiser has chosen not to accept applicants from your region.

    AI Operations Engineer

    Gurugram, Uttar Pradesh GSPANN

    Posted today

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    Job Description

    Description GSPANN is hiring an AI Operations Engineer. The role focuses on deploying ML models, automating CI/CD pipelines, and implementing AIOps solutions.

    Role and Responsibilities

  • Build, automate, and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning (ML) models.
  • Partner with data scientists to transition ML models from experimentation to production environments.
  • Use tools such as Docker, Kubernetes, MLflow, or Kubeflow to deploy, monitor, and maintain scalable ML systems.
  • Implement systems for model versioning, model drift detection, and performance tracking.
  • Maintain reproducibility and traceability of ML experiments and outputs.
  • Design and implement AIOps frameworks to enable predictive monitoring, anomaly detection, and intelligent alerting.
  • Leverage observability tools, including Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Dynatrace, and Datadog, to collect and analyze infrastructure and application metrics.
  • Utilize machine learning and statistical methods to identify patterns, automate root cause analysis, and forecast system behavior.
  • Write and maintain automation scripts that support remediation and incident response.
  • Skills and Experience

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related discipline.
  • Certification in DevOps or MLOps from AWS or GCP is preferred.
  • Understand Site Reliability Engineering (SRE) practices and metrics such as Service-Level Agreements (SLAs), Service-Level Indicators (SLIs), and Service-Level Objectives (SLOs).
  • Demonstrate strong programming proficiency in Python.
  • Work with ML lifecycle platforms such as MLflow, Kubeflow, TensorFlow Extended (TFX), and Data Version Control (DVC).
  • Use Docker and Kubernetes for containerization and orchestration.
  • Employ CI/CD tools including GitHub Actions, Jenkins, and GitLab CI/CD.
  • Operate monitoring and logging systems like Prometheus, Grafana, ELK, Datadog, and Splunk.
  • Possess hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Apply DevOps principles effectively and use infrastructure-as-code tools like Terraform and Ansible.
  • Handle projects involving Natural Language Processing (NLP), time-series forecasting, or anomaly detection models.
  • Build and manage large-scale distributed computing environments.
  • This advertiser has chosen not to accept applicants from your region.

    AI Operations Engineer

    Pune, Maharashtra GSPANN

    Posted today

    Job Viewed

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    Job Description

    Description GSPANN is hiring an AI Operations Engineer. The role focuses on deploying ML models, automating CI/CD pipelines, and implementing AIOps solutions.

    Role and Responsibilities

  • Build, automate, and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning (ML) models.
  • Partner with data scientists to transition ML models from experimentation to production environments.
  • Use tools such as Docker, Kubernetes, MLflow, or Kubeflow to deploy, monitor, and maintain scalable ML systems.
  • Implement systems for model versioning, model drift detection, and performance tracking.
  • Maintain reproducibility and traceability of ML experiments and outputs.
  • Design and implement AIOps frameworks to enable predictive monitoring, anomaly detection, and intelligent alerting.
  • Leverage observability tools, including Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Dynatrace, and Datadog, to collect and analyze infrastructure and application metrics.
  • Utilize machine learning and statistical methods to identify patterns, automate root cause analysis, and forecast system behavior.
  • Write and maintain automation scripts that support remediation and incident response.
  • Skills and Experience

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related discipline.
  • Certification in DevOps or MLOps from AWS or GCP is preferred.
  • Understand Site Reliability Engineering (SRE) practices and metrics such as Service-Level Agreements (SLAs), Service-Level Indicators (SLIs), and Service-Level Objectives (SLOs).
  • Demonstrate strong programming proficiency in Python.
  • Work with ML lifecycle platforms such as MLflow, Kubeflow, TensorFlow Extended (TFX), and Data Version Control (DVC).
  • Use Docker and Kubernetes for containerization and orchestration.
  • Employ CI/CD tools including GitHub Actions, Jenkins, and GitLab CI/CD.
  • Operate monitoring and logging systems like Prometheus, Grafana, ELK, Datadog, and Splunk.
  • Possess hands-on experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Apply DevOps principles effectively and use infrastructure-as-code tools like Terraform and Ansible.
  • Handle projects involving Natural Language Processing (NLP), time-series forecasting, or anomaly detection models.
  • Build and manage large-scale distributed computing environments.
  • This advertiser has chosen not to accept applicants from your region.

    AI Operations - Senior Engineer

    Hyderabad, Andhra Pradesh ABC Fitness

    Posted today

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    Job Description

    Job Description

    AI Operations Engineer

    This role requires working from our local Hyderabad office 2-3x a week.
    Location: Hyderabad, Telangana, India

    ABOUT THE TEAM

    The AI Operations team serves as the backbone of our GenAI product development, ensuring seamless deployment, monitoring, and optimization of AI systems. As a Senior AI Operations Engineer, you will accelerate innovation by handling the operational tasks that enable our senior engineers to focus on complex problem-solving. You'll gain hands-on experience with cutting-edge AI infrastructure while contributing to experiments, deployments, and automation that power our fitness technology platform.

    At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together.

    WHAT YOU’LL DO

  • Execute and monitor AI experiments, tracking logs, retries, and performance metrics to ensure reliable model behavior.
  • Manage API keys, data flow configurations, and agent deployments across development and production environments.
  • Develop automation scripts using Python to streamline repetitive operational tasks and reduce manual intervention.
  • Support evaluation pipelines and deployment processes, collaborating with ML engineers to maintain system reliability.
  • Fill operational gaps by quickly learning new tools and technologies, enabling faster iteration cycles for the team.
  • Troubleshoot deployment issues and maintain documentation for operational procedures and best practices.
  • WHAT YOU’LL NEED

  • 5+ years of engineering experience with strong fundamentals in Python programming and REST API integration.
  • Proficiency with version control systems (Git) and experience with deployment tools and automation frameworks.
  • Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Understanding of CI/CD pipelines and monitoring tools for maintaining system health and performance.
  • Strong problem-solving mindset with eagerness to learn AI/ML operations and grow within a technical team.
  • Excellent communication skills and ability to collaborate effectively in fast-paced, agile environments.
  • AND ITS GREAT TO HAVE

  • Exposure to MLOps tools and practices (MLflow, Weights & Biases, or similar platforms).
  • Experience with infrastructure as code (Terraform, CloudFormation) and configuration management.
  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • WHAT’S IN IT FOR YOU:

  • Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset 
  • Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 
  • 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam 
  • Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling 
  • Life Insurance and Personal Accident Insurance 
  • Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement 
  • Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 
  • Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. 
  • We’re committed to diversity and passion, and encourage you to apply, even if you don’t demonstrate all the listed skillsets!  

    ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION:  
    ABC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. ABC leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com

    ABOUT ABC:  

    ABC Fitness (abcfitness.com) is the premier provider of software and related services for the fitness industry and has built a reputation for excellence in support for clubs and their members. ABC is the trusted provider to boost performance and create a total fitness experience for over 41 million members of clubs of all sizes whether a multi-location chain, franchise or an independent gym. 

     
    Founded in 1981, ABC helps over 31,000 gyms and health clubs globally perform better and more profitably offering a comprehensive SaaS club management solution that enables club operators to achieve optimal performance. ABC Fitness is a Thoma Bravo portfolio company, a private equity firm focused on investing in software and technology companies (thomabravo.com). 

    #LI-HYBRID 

    If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

    This advertiser has chosen not to accept applicants from your region.

    AI Operations and Optimization Analyst

    Pune, Maharashtra Ecolab

    Posted today

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    Job Description

    JOB DESCRIPTION Job Description

    At Ecolab, you can help take on some of the world’s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact?

    The AI Operations Analyst is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability.

    What’s in it For You:

  • You will join a growth company offering a competitive salary and benefits.
  • The ability to make an impact and shape your career with a company that is passionate about growth.
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.
  • Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.
  • What You Will Do:

  • Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models.
  • Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders
  • Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives.
  • Ensure compliance with established responsible AI policies.
  • Maintain documentation on AI processes.
  • Monitoring the performance of business processes, such as cash applications, order processes, and billing.
  • Identifying issues and resolving them in collaboration with development teams.
  • Interacting with users to understand and solve performance issues in automated processes.
  • Analyzing data and metrics to detect anomalies and optimize processes.
  • Minimum Qualifications:

  • Bachelor's degree in Computer Science, Data Science, or a related field. Master’s degree preferred
  • Process domain expertise
  • Experience with AI/ML operations and monitoring tools.
  • Strong problem-solving and analytical skills.
  • Knowledge of AI governance and ethical guidelines.
  • Excellent communication and collaboration skills.
  • Knowledge of machine learning frameworks and libraries
  • Preferred Qualifications:

  • Deep understanding of business processes and how they operate.
  • Technical aptitude to understand systems and processes, including AI solutions.
  • Experience with SAP and ServiceNow is ideal.
  • Competence in data analysis and the ability to interact with large volumes of data.
  • Focus on business analysis and problem-solving rather than software development.
  • Ability to interact with users and provide support in optimizing processes. 
  • At Ecolab, we prioritize our talent-first philosophy by creating the most capable team to excel at our nearly three million customer sites. Building on more than a century of innovation, Ecolab has annual sales of $16 billion, employs approximately 48,000 associates, and operates in more than 170 countries around the world.

    Ecolab is a global sustainability leader offering water, hygiene, and infection prevention solutions and services that protect people and the resources vital to life. Our comprehensive science-based solutions, data-driven insights, and world-class service advance food safety, maintain clean and safe environments, and optimize water and energy use.


    Our Commitment to a Culture of Inclusion & Belonging
    Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.

    This advertiser has chosen not to accept applicants from your region.

    AI Operations and Optimization Manager

    Pune, Maharashtra Confidential

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    At Ecolab, you can help take on some of the world's most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact

    The AI Operations Manager is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability.

    What's In It For You

    • You will join a growth company offering a competitive salary and benefits.
    • The ability to make an impact and shape your career with a company that is passionate about growth.
    • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.
    • Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.

    What You Will Do

    • Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models.
    • Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders
    • Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives.
    • Ensure compliance with established responsible AI policies
    • Maintain documentation on AI processes

    Minimum Qualifications

    • Bachelor&aposs degree in Computer Science, Data Science, or a related field. Master's degree preferred
    • Process domain expertise
    • Experience with AI/ML operations and monitoring tools.
    • Strong problem-solving and analytical skills.
    • Knowledge of AI governance and ethical guidelines.
    • Excellent communication and collaboration skills.
    • Knowledge of machine learning frameworks and libraries

    A trusted partner for millions of customers, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $14 billion, employs more than 47,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab's innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets. us on , , and Facebook @Ecolab.

    Our Commitment to a Culture of Inclusion & Belonging

    Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.


    Skills Required
    Monitoring Tools
    This advertiser has chosen not to accept applicants from your region.

    AI Operations and Optimization Manager

    Pune, Maharashtra Ecolab

    Posted today

    Job Viewed

    Tap Again To Close

    Job Description

    JOB DESCRIPTION

    At Ecolab, you can help take on some of the world’s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact?

    The AI Operations Manager is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability.

    What’s in it For You:

  • You will join a growth company offering a competitive salary and benefits.
  • The ability to make an impact and shape your career with a company that is passionate about growth.
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.
  • Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.
  • What You Will Do:

  • Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models.
  • Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders
  • Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives.
  • Ensure compliance with established responsible AI policies
  • Maintain documentation on AI processes
  • Minimum Qualifications:

  • Bachelor's degree in Computer Science, Data Science, or a related field. Master’s degree preferred
  • Process domain expertise
  • Experience with AI/ML operations and monitoring tools.
  • Strong problem-solving and analytical skills.
  • Knowledge of AI governance and ethical guidelines.
  • Excellent communication and collaboration skills.
  • Knowledge of machine learning frameworks and libraries
  • A trusted partner for millions of customers, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $14 billion, employs more than 47,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.


    Our Commitment to a Culture of Inclusion & Belonging
    Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.

    This advertiser has chosen not to accept applicants from your region.
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    Director - Data Governance and AI Operations

    SailPoint

    Posted today

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    Job Description

    SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less. 

    Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. 

    About the role:

    We are seekinga dynamic and experienced Director of Data Governance and Operations to lead our data governance and data quality initiatives. Reporting to the VP of IT, this leadership role will be pivotal in driving data-driven decision-making across our Go-To-Market (GTM) operations and Finance organizations. The ideal candidate will possess a deep passion for data governance, a proven track record of developing and executing successful data quality strategies, and a strong understanding of how data fuels AI innovation.

    Essential Duties and Responsibilities

  • Develop and champion a comprehensive data strategy aligned with SailPoint’s overall business objectives, with a particular focus on GTM and Finance.

  • Establish and maintain a robust data governance framework, including policies, standards, and procedures, to ensure data quality, accuracy, and compliance.

  • Partner with GTM and Finance leadership to identify data needs, develop data solutions, and drive the adoption of data-driven insights to improve performance.

  • Lead efforts to monitor and improve data quality across key systems and data sources, implementing data cleansing and validation processes.

  • Ensure data readiness for AI initiatives, collaborating with Enterprise Applications and Data Engineering teams to prepare and structure data for AI model development and deployment.

  • Salesforce Expertise: Leverage in-depth knowledge of Salesforce to optimize data management, reporting, and analytics within the platform.

  • Build, mentor, and manage a high-performing team of data professionals, fostering a culture of collaboration, innovation, and continuous improvement.

  • Collaborate effectively with stakeholders across IT, GTM, Finance, and other departments to ensure alignment on data strategy and priorities.

  • Stay abreast of emerging trends in data management, AI, and analytics, and identify opportunities to leveragenew technologies to enhance SailPoint’s data capabilities.

  • Required Qualifications

  • 15+ years of experience in data management, data governance, or data strategy roles, with increasing levels of responsibility.

  • Proven track record of developing and executing successful data strategies for GTM operations and Finance.

  • Strong experience with Master Data Management (MDM)

  • Deep understanding of data governance principles, practices, tools, and technologies.

  • In-depth knowledge of Salesforce data model, reporting, and analytics capabilities.

  • Experience with Salesforce administration.

  • Strong understanding of AI and machine learning concepts, and the importance of data readiness for AI.

  • Excellent leadership, communication, and interpersonal skills.

  • Ability to influence and collaborate effectively with stakeholders at all levels of the organization.

  • Experience building and managing high-performing teams.

  • Strong analytical and problem-solving skills.

  • Salesforce certifications are highly desirable.

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics).

  • What success looks like

    30-Day Plan (Orientation and Integration):

  • Objective: Establish foundational knowledge and integrate into the team.

  • Training & Learning:

  • Introduction to SailPoint Enterprise Systems and Data Platform

  • Review company policies, procedures, and compliance requirements

  • Roles & Responsibilities:

  • Understand job expectations, key performance indicators (KPIs), and deliverables.

  • Review IT team structure and individual roles

  • Review GTM and Finance team structure and roles and responsibilities of key stakeholders

  • Relationship Building:

  • Meet team members, key stakeholders, and cross-department colleagues.

  • Participate in onboarding activities and one-on-one meetings with IT leaders.

  • Immediate Contributions:

  • Assess and compile problem statement on data governance and data quality

  • Assess and compile data flow diagrams for the key GTM and Finance metrics

  • Assist with data requests to get familiar with SailPoint internal data needs, e.g. ACV/ARR

  • Initiate recruiting of data analyst

  • 60-Day Plan (Data Leadership and Strategic Thinking)

  • Objective: Expertise on SailPoint business data and define strategy for data governance and data quality

  • Establish structure and recurring cadence with key business stakeholders and IT system owners on data governance

  • Define SailPoint Master Data and process to ensure data integrity

  • Establish metrics to measure data quality

  • Recommend industry best practice for data governance and data quality

  • Define roadmap

  • Data Governance and MDM initiatives

  • Data repository and metadata for AI

  • Project Involvement:

  • SailPoint ARR/ACV Reporting

  • Data foundation for AI

  • Team Building and Relationship Building:

  • Complete recruiting of new data analyst

  • Demonstrate ability to engage business and IT stakeholders and partnership on key data initiatives

  • 90-180 Day Plan (Execution on Roadmap)

  • Objective: Establish leadership and make impact to key data initiatives

  • Data Quality

  • Complete the top 2 initiatives for data quality for Salesforce

  • Data Governance and MDM

  • Publish the master data definition and framework

  • Collaborate with business stakeholders and IT system owners to implement system validation and business operations to ensure data integrity

  • AI

  • Collaborate with IT system owners and Data Engineering team to build metadata for AI consumption

  • Deliver data for AI model training and AI search

  • Validate the AI output to ensure accuracy

  • SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

    Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

    This advertiser has chosen not to accept applicants from your region.

    Director - Data Governance and AI Operations

    Pune, Maharashtra SailPoint

    Posted today

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    Job Description

    SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less. 

    Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. 

    About the role:

    We are seekinga dynamic and experienced Director of Data Governance and Operations to lead our data governance and data quality initiatives. Reporting to the VP of IT, this leadership role will be pivotal in driving data-driven decision-making across our Go-To-Market (GTM) operations and Finance organizations. The ideal candidate will possess a deep passion for data governance, a proven track record of developing and executing successful data quality strategies, and a strong understanding of how data fuels AI innovation.

    Essential Duties and Responsibilities

  • Develop and champion a comprehensive data strategy aligned with SailPoint’s overall business objectives, with a particular focus on GTM and Finance.

  • Establish and maintain a robust data governance framework, including policies, standards, and procedures, to ensure data quality, accuracy, and compliance.

  • Partner with GTM and Finance leadership to identify data needs, develop data solutions, and drive the adoption of data-driven insights to improve performance.

  • Lead efforts to monitor and improve data quality across key systems and data sources, implementing data cleansing and validation processes.

  • Ensure data readiness for AI initiatives, collaborating with Enterprise Applications and Data Engineering teams to prepare and structure data for AI model development and deployment.

  • Salesforce Expertise: Leverage in-depth knowledge of Salesforce to optimize data management, reporting, and analytics within the platform.

  • Build, mentor, and manage a high-performing team of data professionals, fostering a culture of collaboration, innovation, and continuous improvement.

  • Collaborate effectively with stakeholders across IT, GTM, Finance, and other departments to ensure alignment on data strategy and priorities.

  • Stay abreast of emerging trends in data management, AI, and analytics, and identify opportunities to leveragenew technologies to enhance SailPoint’s data capabilities.

  • Required Qualifications

  • 15+ years of experience in data management, data governance, or data strategy roles, with increasing levels of responsibility.

  • Proven track record of developing and executing successful data strategies for GTM operations and Finance.

  • Strong experience with Master Data Management (MDM)

  • Deep understanding of data governance principles, practices, tools, and technologies.

  • In-depth knowledge of Salesforce data model, reporting, and analytics capabilities.

  • Experience with Salesforce administration.

  • Strong understanding of AI and machine learning concepts, and the importance of data readiness for AI.

  • Excellent leadership, communication, and interpersonal skills.

  • Ability to influence and collaborate effectively with stakeholders at all levels of the organization.

  • Experience building and managing high-performing teams.

  • Strong analytical and problem-solving skills.

  • Salesforce certifications are highly desirable.

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics).

  • What success looks like

    30-Day Plan (Orientation and Integration):

  • Objective: Establish foundational knowledge and integrate into the team.

  • Training & Learning:

  • Introduction to SailPoint Enterprise Systems and Data Platform

  • Review company policies, procedures, and compliance requirements

  • Roles & Responsibilities:

  • Understand job expectations, key performance indicators (KPIs), and deliverables.

  • Review IT team structure and individual roles

  • Review GTM and Finance team structure and roles and responsibilities of key stakeholders

  • Relationship Building:

  • Meet team members, key stakeholders, and cross-department colleagues.

  • Participate in onboarding activities and one-on-one meetings with IT leaders.

  • Immediate Contributions:

  • Assess and compile problem statement on data governance and data quality

  • Assess and compile data flow diagrams for the key GTM and Finance metrics

  • Assist with data requests to get familiar with SailPoint internal data needs, e.g. ACV/ARR

  • Initiate recruiting of data analyst

  • 60-Day Plan (Data Leadership and Strategic Thinking)

  • Objective: Expertise on SailPoint business data and define strategy for data governance and data quality

  • Establish structure and recurring cadence with key business stakeholders and IT system owners on data governance

  • Define SailPoint Master Data and process to ensure data integrity

  • Establish metrics to measure data quality

  • Recommend industry best practice for data governance and data quality

  • Define roadmap

  • Data Governance and MDM initiatives

  • Data repository and metadata for AI

  • Project Involvement:

  • SailPoint ARR/ACV Reporting

  • Data foundation for AI

  • Team Building and Relationship Building:

  • Complete recruiting of new data analyst

  • Demonstrate ability to engage business and IT stakeholders and partnership on key data initiatives

  • 90-180 Day Plan (Execution on Roadmap)

  • Objective: Establish leadership and make impact to key data initiatives

  • Data Quality

  • Complete the top 2 initiatives for data quality for Salesforce

  • Data Governance and MDM

  • Publish the master data definition and framework

  • Collaborate with business stakeholders and IT system owners to implement system validation and business operations to ensure data integrity

  • AI

  • Collaborate with IT system owners and Data Engineering team to build metadata for AI consumption

  • Deliver data for AI model training and AI search

  • Validate the AI output to ensure accuracy

  • SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.

    Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

    This advertiser has chosen not to accept applicants from your region.

    Associate, ML Data Operations, GO-AI Operations

    Andhra Pradesh, Andhra Pradesh Amazon

    Posted today

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    Job Description

    Description
    This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
    An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
    Key job responsibilities
    The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours' time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn't be accessed by anyone other than employee
    The candidate is expected to demonstrate:
    - Willingness to work in Non-tech role for contract duration of 6 months
    - Ability to audit image/video/text based Jobs
    - Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen
    - Willingness to work on incremental targets/goals on quality & productivity
    - Fast Pace of implementation & consistent performance
    - Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
    - Readiness to come to office for few days (when required, applicable for associates working from home)
    - Willing to switch ON laptop camera while on virtual meetings.
    A day in the life
    Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon's work policy.
    Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
    About the team
    Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
    Basic Qualifications
    - Bachelor's degree
    Preferred Qualifications
    - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
    This advertiser has chosen not to accept applicants from your region.
     

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