29 Inega Model Management jobs in India
Manager, Model Risk Management
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Job Description
Role Title: Manager, Model Risk Management (L09)
Company Overview
Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.
- We have recently been ranked #2 among India's Best Companies to Work for by Great Place to Work. We were among the Top 50 India's Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
- Synchrony celebrates ~52% women talent.
- We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
- We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.
Organizational Overview
Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony's Risk team is the place to be.
Role Summary/Purpose
The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role.
Key Responsibilities
- Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues
- Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues.
- Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics.
- Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation.
- Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management
- Support in additional book of work or special projects as in when required.
Required Skills/Knowledge
- Bachelor's/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master's degree, 4+ years' experience in model development / model validation experience in the retail section of financial services or banking.
- Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models.
- Understanding of quantitative analysis methods or approaches in relation to credit risk models.
- Strong programing skills with 2+ years' hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data
Desired Skills/Knowledge
- 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.
- Ability to apply analytical skills to solve problems creatively.
- Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise.
- Be self-motivated, act promptly and effectively when assigned tasks.
- Excellent written and oral communication and presentation skills.
Eligibility Criteria
Bachelor's/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master's degree, 4+ years' experience in model development / model validation experience in the retail section of financial services or banking.
Work Timings:
This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.
For Internal Applicants
- Understand the criteria or mandatory skills required for the role, before applying.
- Inform your Manager or HRM before applying for any role on Workday.
- Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
- Must not be any corrective action plan (Formal/Final Formal, PIP)
- L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible.
- L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
- L4+ employees can apply.
Grade/Level: 09
Job Family Group
Credit
Manager- Model Risk Management
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Elevate Your Impact Through Innovation and Learning
Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all
About Risk and Quant Solutions (RQS)
Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world's largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions
What you will be doing at Evalueserve
- Review and validate derivative pricing and risk models across asset classes
- Develop and validate risk modelling frameworks for both market risk and counterparty credit risk
- Development and Implementation of benchmark models and methodologies in C++, Python, R etc.
- Perform Independent model testing and assess assumptions, limitations, and model framework
- Develop, Implement, and backtest regulatory models such as IRRBB, FRTB, RNIV and VaR/ES.
- Prepare coherent and comprehensive documentation reports.
- Lead and mentor the team of Analysts
- Provide in-depth technical knowledge in existing and prospective client meetings.
- Take responsibility for analysis, presentations, product demonstrations and fully manage the proof of concepts and full-fledged projects.
- Preparation and delivery for detailed presentations and workshops.
- Ability to deliver presentations and demonstrations to prospects
- Be able to articulate solution offerings and the scope and approach in responses for RFIs/RFPs
What we're looking for
- Good knowledge of one or more asset classes (Equity, Rates, FX etc.)
- Good experience in market risk / model validation role
- Strong Financial Mathematics for derivative pricing; Monte Carlo, PDEs and numerica integration
- Knowledge in advanced derivatives modelling and knowledge of volatility models preferred
- Knowledge of market risk regulations and experience in implementation of regulatory models
- Strong proficiency in one or more of the following programming languages C++, Python, R, MATLAB.
- Strong regulatory understanding such as BASEL, CCAR, DFAST, CECL, SR-11/7 etc.
- Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business
- Robust verbal, written and interpersonal communication skills.
- Excellent presentation and report writing skills.
- Self-starter with strong problem-solving skills
- Project management and leadership qualities
Qualification
- Master in Financial Engineering / Statistics / Economics / Mathematics or B.Tech. / MBA
- Finance from tier 1 college
- Certifications such as CFA, FRM, CQF, IIQF is a plus
Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.
VP, Model Risk Management
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Job Description
Role Title: VP, Model Risk Management (L13)
Company Overview
Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.
- We have recently been ranked #2 among India's Best Companies to Work for by Great Place to Work. We were among the Top 50 India's Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
- Synchrony celebrates ~52% women talent.
- We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
- We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.
Organizational Overview
Synchrony's Risk Team provides independent oversight of Synchrony's risk-taking activities to ensure safety and soundness, meet regulatory and legal requirements, and manage risks to the risk-appetite of the Board. Risk is responsible for independently assessing, quantifying, and overseeing risks & providing effective challenge. Risk serves as Synchrony's Second Line of Defense.
Overall, Risk Team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues and challenges. Results are consistent with the respective strategic uses and complying with related overall risk, risk testing policies, standards, procedures as well as regulations. Our Risk organization consists of 4 pillars: Compliance, Credit & Financial Risk, Enterprise Risk and Operational Risk. Each of the pillars play a vital role in managing Risk and supports the business in anticipating and addressing risks, issues, and challenges.
Role Summary/Purpose
- The VP, Model Risk Management is responsible for managing the MRM India team, to act like a consultant/project manager to the team, to provide real time guidance on the validation work, also to oversee quality control of their deliverables and to reduce iteration between their US managers to speed up the review completion. The VP will help enhance efficiencies across all pillars, and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as applicable regulations. This role requires deep subject matter expertise to lead the team and be accountable for validation results delivered by MRM India team across a wide range of model categories under adequate technical supervision. The VP will also work closely within the Risk organization on model related risks to ensure such risks are well covered and have appropriate controls. This is a team lead role.
Key Responsibilities
- Serve as a team lead, manage ~20 MRM India team members, provide real time guidance, smoothen the workflow, reduce iteration between their US managers to speed up review timelines. Lead and supervise team's full scope validation and other reviewers, ensuring timely completion of the validation projects with high quality, requiring minimal supervision from the review manager/supervisors.
- Quality Enhancement- the MRM India team lead is expected to enhance the quality of model reviews delivered by the team- help reduce the feedback time and enhance efficiencies across all types of models including acquisition and account management credit risk models, TNF and transactional fraud models, marketing models, collections models, finance models and loss forecast models, etc.
- Ownership of Validation Process- team lead is expected to assist the MRM India team members to conduct an effective challenge to the first line of defense, independently validate the assigned validation- taking ownership of the end-to-end validation process.
- Enhanced Contribution & Team upskilling- team lead's responsibilities includes upskilling the team, ensuring effective and timely incorporation of feedback, and collaborating closely with US leadership to enhance the contributions to the MRM team overall.
- Lead the maintenance of team's relevant model and model validation documentation, review team's analysis, quality check reports to support discussions on key analytics and identification of model risks with remediation plan.
- Keep pace with the latest developments in academia, regulatory changes, risk technology (vendor and in-house) and financial services industries in order to provide expert guidance to the Synchrony business functions.
- Continuously improve model risk management practices and add value to the business by enhancing efficiency, strengthening controls, streamlining process, and building strong partnership with model stakeholders. Collaborate and engage with teams across Synchrony to identify, highlight, and address model risks.
- Provide or oversee the standardized but tailored training to ensure new validation hires are brought up to speed within a set timeframe. Formalize career development and training programs to support the career goals of existing team members.
- Provide support during regulatory examinations and internal audits of the model validation process by preparing necessary documentation, addressing inquiries and assisting in remediation of observations, etc.
- Support model governance initiatives and perform other duties and/or special projects as assigned.
Required Skills/Knowledge
- Minimum Master's degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative field and 13+ years' experience in model development / model validation experience in financial services, banking, or retail; in lieu of a Master's degree, 15+ years' experience in model development / model validation experience in the retail section of a U.S. financial service/banking.
- Extensive Model Validation Experience (strong machine learning, and forecast) from a peer size retail bank.
- Demonstrated track record in stepping up a large size model team.
- Solid knowledge and experience of acquisition and account management credit risk models, TNF and transactional fraud models, marketing models, collections models, finance models and, loss models such as Loss forecasting (PD/LGD/EAD. CECL, Roll rate, vintage, etc), Stress testing, Allowance
- Strong programing skills with 13+ years' hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data
- 13 years' experience with the application of US regulatory requirements for Model Risk Management.
- Advanced knowledge of regulatory requirements for Model Risk Management like SR 11-7, OCC , etc.
Desired Skills/Knowledge
- Ensure effective and seamless collaboration, real-time communication, and alignment with U.S business hours if needed.
- Solid knowledge in statistical and machine learning model development or validation.
- Experience in project management, including demonstrated ability to develop actionable plan to meet high level objectives, strong execution, and timeline sensitive deliverables.
- Sharp focus on accuracy with extreme attention to detail.
- Excellent written and oral communication and presentation skills.
Eligibility Criteria
Minimum Master's degree (or foreign equivalent) in Statistics, Mathematics, Economics or related quantitative field and 13+ years' experience in model development / model validation experience in financial services, banking, or retail; in lieu of a Master's degree, 15+ years' experience in model development / model validation experience in the retail section of a U.S. financial service/banking.
Work timings:
This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.
For Internal Applicants
- Understand the criteria or mandatory skills required for the role, before applying
- Inform your manager and HRM before applying for any role on Workday
- Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
- Must not be any corrective action plan (First Formal/Final Formal/LPP)
- L11+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
- L11+ Employees can apply
Grade/Level: 13
Job Family Group
Credit
Manager - Model Risk Management
Posted today
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Roles and Responsibilities
Team Leader- Model Risk Management
Experience: + Years with at least 7 years’ experience in Model Risk management in BFSI
Grade: OL
Roles and Responsibilities:
Updates and monitors compliance with the Model Governance Policy, the MRM Policies and Procedures, including gap analysis and road map to the target state for each model.
Manages the model inventory and the periodic model inventory attestation process including model definition, risk rating and model process rationalization.
Define roles and responsibilities for Model Governance; maintain inventory of critical roles (specifically, model risk ownership)
Define and monitor key activities related to model validation and monitoring
Define the standard and the delivery of model independent testing
Promotes a strong model risk control culture and develop communication strategies to improve model risk awareness.
Proactively maintains effective partnerships with the model validation analysts, model owners, business level risk management teams and auditors, internal and external to execute sound model risk governance and resolve all issues in a timely manner.
Desirable Qualifications:
Advanced knowledge of traditional risk management and its relationship within a highly complex and matrixed environment
Experience with risk identification, assessment, and mitigation of material risks, while assisting risk owners (1st line of defence) with development of controls and mitigation plans
Strong organizational skills with proven ability to collaborate in a global, matrix environment
Ability to engage and influence leaders and decision makers within the organization
Robust understanding of risk management methodologies and frameworks to drive and maintain department adoption.
Ability to translate observations of global trends in Model Governance into streamlined processes and effective internal & external communication strategies
Knowledge of model life cycle methodologies preferably in a bank or NBFC or regulatory environment.
Model Risk Management Lead
Posted today
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Position Title: Assistant Director/ Associate Director
Experience Level: 10- 15 Years
Location: Bengaluru/Gurugram/Pune
Job Purpose
- Provide strategic vision and leadership for the Model Risk Management (MRM) team, ensuring robust model risk oversight and a best-in-class validation function across the organization.
- Oversee and execute comprehensive model validation and review processes in accordance with client’s model risk management policy to assess model usage, documentation, conceptual soundness, data integrity and the control environment.
- Lead the effective implementation, maintenance, and continuous improvement of Model Risk Governance frameworks, policies, standards, and procedures in strict alignment with regulatory standards and internal risk appetite
- Oversee and execute comprehensive model validation and review processes for all key model types, including Credit Risk (PD, EAD, LGD), Market Risk, CCR, Interest Rate Risk, Fraud Risk, Stress Testing, AML transaction screening, Pricing, Prepayment models etc.
- Perform ad hoc (generally statistical) analysis of back-tests or simulated performance information.
- The Credit Valuation Adjustment (CVA) accounts for measures of counterparty non-performance risk and is an adjustment made to the value of a financial instrument to reflect the possibility that a counterparty might default when the instrument is an asset for the sponsor.
- The Pricing and Potential Future Exposure model (PFE) produces distributions of rate or valuation outcomes based on expectations of future interest rates. It is used for pricing new customer trades for interest rate swaps before taking to market and in credit underwriting.
Desired Skills and experience
- Master’s degree in mathematics, statistics, data science, finance, Quantitative Finance, or a relevant field.
- Experience in model development, model validation or model governance in the fields of Credit Risk, Market Risk, Operational Risk, Fraud Risk.
- Programming experience with demonstrated exposure to multiple languages such as Python, SAS, R, MATLAB, SQL, VBA, C++ or similar languages.
- Deep understanding of financial products, risk measurement, and model validation practices, including regulatory expectations for financial institutions.
- Experience required in building and pricing trades including Mark to Market Valuations, CVA models, Pricing and potential future exposure models
- Familiarity with vendor investment analytic applications: QRM, Moody’s Analytics, Aladdin, Axioma, Barra Portfolio Manager, Barra One, RiskMetrics etc.
- Experience with vendor financial data vendors: Bloomberg, Refinitiv, CRSP, MSCI, Markit, S&P Capital IQ, etc.
- Solid understanding of financial predictive modeling, such as multi-factor risk models, time series forecasting, Value-At-Risk (VaR), optimization theory, and machine learning.
- Attainment or progress toward at least one of the following: Graduate degree in business or quantitative discipline, FRM or PRM risk management certifications, Chartered Financial Analyst (CFA) charter
- Demonstrated history of strong analytical skills and attention to detail.
Senior Machine Learning Engineer - MLOps, VertexAI, LLMs, GenAI, ML Model Management
Posted 15 days ago
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Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**Job Summary:**
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.
**Responsibilities:**
+ Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
+ Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
+ Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
+ Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
+ Optimization of the queries and pipelines.
+ Modernization of the applications whenever required
**Qualifications:**
+ Expertise in programming languages like Python, SQL
+ Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
+ Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
+ Understanding of model evaluation metrics, model monitoring tools and practices.
+ Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
+ Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
+ Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
+ Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Bonus Qualifications:**
+ Experience in Azure MLOPS,
+ Familiarity with Cloud Billing.
+ Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
+ Experience working in an Agile environment, understanding of Lean Agile principles.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._
Senior Machine Learning Engineer - MLOps, VertexAI, LLMs, GenAI, ML Model Management
Posted 15 days ago
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Job Description
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**Job Summary:**
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.
**Responsibilities:**
+ Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
+ Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
+ Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
+ Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
+ Optimization of the queries and pipelines.
+ Modernization of the applications whenever required
**Qualifications:**
+ Expertise in programming languages like Python, SQL
+ Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
+ Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
+ Understanding of model evaluation metrics, model monitoring tools and practices.
+ Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
+ Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
+ Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
+ Bachelor's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Bonus Qualifications:**
+ Experience in Azure MLOPS,
+ Familiarity with Cloud Billing.
+ Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
+ Experience working in an Agile environment, understanding of Lean Agile principles.
**Employee Type:**
Permanent
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