26,142 Mlop S Engineer jobs in India
Data Science
Posted today
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
Data Science
Posted today
Job Viewed
Job Description
Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
Data Science
Posted today
Job Viewed
Job Description
• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
Data Science
Posted 18 days ago
Job Viewed
Job Description
Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
Data Science
Posted 4 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Data Science
Posted 4 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
Advisor Data Science AI Engineer
Posted today
Job Viewed
Job Description
Summary
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Role Description
• Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
• Experienced in multiple LLM fine tuning techniques.
• Experienced in building GEN AI solutions using RAG architecture.
• Skilled in both Lang Chain and Lang Graph.
• Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
• Experienced in multiple Vector Databases as well as Graph Database
• Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Skilled in API development and integrations.
Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
• Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js
What We’re Looking For
• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
What You Should Expect in This Role
• Fully Remote Opportunity – Work from anywhere in India.
• Minimal Travel Required – Occasional travel opportunities (0-10%).
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
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Advisor Data Science AI Engineer
Posted today
Job Viewed
Job Description
Summary
Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Role Description
• Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
• Experienced in multiple LLM fine tuning techniques.
• Experienced in building GEN AI solutions using RAG architecture.
• Skilled in both Lang Chain and Lang Graph.
• Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
• Experienced in multiple Vector Databases as well as Graph Database
• Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
• Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Skilled in API development and integrations.
Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
• Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js
What We’re Looking For
• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 3+ years to 7 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
• Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
• Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
What You Should Expect in This Role
• Fully Remote Opportunity – Work from anywhere in India.
• Minimal Travel Required – Occasional travel opportunities (0-10%).
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
Manager-Data Science
Posted 1 day ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
The Global Risk & Compliance Organization ("GRC") independently oversees the company's risk-taking and risk management activities, including the comprehensive identification, management, and mitigation of risks within the Company's risk appetite. GRC ensures the company operates in a safe, sound and fully compliant manner within all applicable regulatory expectations. We create and maintain the overall risk management framework while ensuring legal and regulatory compliance. Our culture in Global Risk & Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
The Enterprise Risk Management and Risk Oversight ("ERM&RO") organization within GRC is responsible for strengthening risk governance and enabling effective oversight across the enterprise, including overseeing risk management platforms and capabilities ("GRC Product"). The Manager / Director, GenAI Product will be part of the GRC Product team and will focus on implementing prioritized Generative AI use cases to enhance risk and compliance processes. The role involves designing and deploying AI-enabled solutions that improve efficiency in regulatory intelligence, policy interpretation, control testing, and issue management, while ensuring adherence to enterprise data, privacy, and risk standards. The incumbent will work closely with ERM&RO, Independent Risk Management, Data Governance, Technology, and other stakeholders to deliver solutions that are scalable, secure, and aligned with governance requirements.
**Key Responsibilities:**
+ Support the design and implementation of GenAI solutions for high-impact use cases such as automated policy query handling, regulatory change summarization, and risk data insights.
+ Collaborate with technology teams to integrate approved data sources and ensure compliance with enterprise data management and privacy standards.
+ Assist in defining evaluation metrics for solution performance, including accuracy, reliability, and user adoption, and support continuous improvement based on feedback.
+ Participate in change management activities including documentation, user acceptance testing, and post-implementation validation to maintain control and audit readiness.
+ Ensure solutions incorporate appropriate safeguards for data security, confidentiality, and compliance with internal policies and regulatory expectations.
+ Work with stakeholders across ERM, IRM, and GRC to align AI solutions with risk governance frameworks and reporting requirements, including readiness for periods of heightened oversight.
**Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
+ Proven experience in developing and implementing AI solutions, particularly Generative AI.
+ Strong understanding of AI risk management and regulatory compliance.
+ Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
+ Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
**Preferred Qualifications:**
+ Internal candidates preferred
+ Experience with AI tools and frameworks such as TensorFlow, PyTorch, or similar.
+ Knowledge of AI governance and risk management frameworks.
+ Familiarity with regulatory requirements related to AI and data privacy.
+ Strong analytical skills and experience with data management and centralization.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Product
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**
Analyst-Data Science
Posted 1 day ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express
**How will you make an impact in this role?**
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
**Purpose of the Role:**
The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Gen AI (Large Language Models). This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
**Responsibilities include:**
* Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, credit, fraud or other business/ risk types.
* Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
* Conduct AI/MLresearch to explore opportunities to elevate model excellence and drive business impact
* Communicating results to partners, senior leadership and various model committees
**Critical Factors to Success:** 1.Business Outcomes:
* Effectively challenge the conceptual soundness , theory and approach,purpose/usages of predictive models
* Maximize business returns by institutionalizing efficient and accurate models.
* Innovate modeling techniques and variable creation
* Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning2. Leadership Outcomes:
* Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
* Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
* Demonstrate learning agility, make decisions quickly and with the highest level of integrity
* Lead with a digital mindset and deliver the world's best customer experiences every day
**Past Experience:**
0-3 years experience in analytics, modeling, data science, model risk management or relevant fields.
**Background:**
MBA, Master's Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
**Functional Skills/Capabilities:**
* Hands-on model development or validation experience.
* Strong Analytical and Relationship and project management skills for driving validation initiatives.
* Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
* Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
* Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
* Effectively communicating complex Analytical results to Business Partners and Senior Management.
* Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
**Technical Skills/Capabilities:**
Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have. Gen AI/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.
**Behavioral Skills/Capabilities:**
Enterprise Leadership Behaviors
* Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
* Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
* Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**