Requirements:
• Minimum 2+ years of experience in IFC testing within the Manufacturing Industry domain.
• Testing design and operating effectiveness of financial controls
• Documenting Risk Control Matrices (RCM), evaluating Test of Design (ToD) and Test of Operating Effectiveness (ToE)
• Identifying control gaps, and coordinating with client process owners to gather evidence and validate remediation
• Strong knowledge of internal controls frameworks
• Hands-on IFC/ITGC testing experience, attention to detail, and the ability to work independently with client stakeholders to meet engagement timeline
Responsibilities
Requirements:
• Minimum 2+ years of experience in IFC testing within the Manufacturing Industry domain.
• Testing design and operating effectiveness of financial controls
• Documenting Risk Control Matrices (RCM), evaluating Test of Design (ToD) and Test of Operating Effectiveness (ToE)
• Identifying control gaps, and coordinating with client process owners to gather evidence and validate remediation
• Strong knowledge of internal controls frameworks
• Hands-on IFC/ITGC testing experience, attention to detail, and the ability to work independently with client stakeholders to meet engagement timeline
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Experience
• 10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Responsibilities
10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Experience
• 10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Responsibilities
10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Band Type: PL
Band: B1
Designation: Associate Consultant
Experience: 5 Years to 7 Years
Employment Type: Permanent
Job Title: Data Engineering
Job ID: AXAGBS14526
Key accountabilities:
As a Data Engineer you will be accountable for:
• Understanding operational needs by collaborating with specialized teams
• Supporting key AXA business operations. This involves architecture designing, building and deploying data systems, pipelines etc
• Build agile, scalable, and cost efficiency solution on cloud data services.
Technical and professional skills:
We are looking for a flexible, fast learning, technically strong Data Engineer. Expertise is required in the following fields:
• Proficient in Cloud Services –Azure
• Build ETL and data movement solutions.
• Migrate data from traditional database systems to Cloud environment
• Strong hands-on experience for working with Streaming dataset
• Building Complex Notebook in Databricks to achieve business Transformations.
• Hands-on Experience in Data Refinement using Pyspark and Spark SQL
• Familiarity with building dataset using Scala.
• Familiarity with tools such as Jira and GitHub
• Experience leading agile scrum, sprint planning and review sessions
• Good communication and interpersonal skills
Soft skills and competencies:
• Good communication skills to coordinate between business stakeholders & engineers
• Strong results-orientation and time management
• True team player who is comfortable working in a global team
• Ability to establish relationships with stakeholders quickly to collaborate on use cases
• Autonomy, curiosity and innovation capability
• Comfortable working in a multidisciplinary team within a fast-paced environment
Background and experience:
• Bachelor’s Degree in Computer Science or related field
• 4-7 years of experience in Cloud Data Engineering.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JOB DESCRIPTION
Band Type: PL
Band: B1
Designation: Associate Consultant
Experience: 5 Years to 7 Years
Employment Type: Permanent
Location: Pune
Job Title: B1- Data Engineering
Job ID: AXAGBS14525
Key accountabilities:
As a Data Engineer you will be accountable for:
• Understanding operational needs by collaborating with specialized teams
• Supporting key AXA business operations. This involves architecture designing, building and deploying data systems, pipelines etc
• Build agile, scalable, and cost efficiency solution on cloud data services.
Technical and professional skills:
We are looking for a flexible, fast learning, technically strong Data Engineer. Expertise is required in the following fields:
• Proficient in Cloud Services –Azure
• Build ETL and data movement solutions.
• Migrate data from traditional database systems to Cloud environment
• Strong hands-on experience for working with Streaming dataset
• Building Complex Notebook in Databricks to achieve business Transformations.
• Hands-on Experience in Data Refinement using Pyspark and Spark SQL
• Familiarity with building dataset using Scala.
• Familiarity with tools such as Jira and GitHub
• Experience leading agile scrum, sprint planning and review sessions
• Good communication and interpersonal skills
Soft skills and competencies:
• Good communication skills to coordinate between business stakeholders & engineers
• Strong results-orientation and time management
• True team player who is comfortable working in a global team
• Ability to establish relationships with stakeholders quickly to collaborate on use cases
• Autonomy, curiosity and innovation capability
• Comfortable working in a multidisciplinary team within a fast-paced environment
Background and experience:
• Bachelor’s Degree in Computer Science or related field
• 4-7 years of experience in Cloud Data Engineering.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JD for the Openings:
Required:
- FMW/SOA/WebLogic (12c, 14c) administration, including install, configuration, patching, deployment, and upgrade in a clustered environment
- Proficiency in creating technical documentation
- Strong communication skills
Preferred:
- 12c to 14c upgrade experience
- RAC back-end
- Scripting (Shell, WLST)
- JVM tuning
- SSL/TLS certificate management
- Ability to effectively work with Oracle Support
Responsibilities
JD for the Openings:
Required:
- FMW/SOA/WebLogic (12c, 14c) administration, including install, configuration, patching, deployment, and upgrade in a clustered environment
- Proficiency in creating technical documentation
- Strong communication skills
Preferred:
- 12c to 14c upgrade experience
- RAC back-end
- Scripting (Shell, WLST)
- JVM tuning
- SSL/TLS certificate management
- Ability to effectively work with Oracle Support
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for professionals with experience in Fund Reporting and Financial Reporting for investment management entities. The candidate will be responsible for preparing, reviewing, and delivering financial reports for various fund structures while ensuring compliance with applicable accounting and reporting standards.
Key Responsibilities
• Manage the accurate and timely preparation of fund reporting deliverables.
• Prepare and review monthly, quarterly, and annual financial statements.
• Prepare Balance Sheets, Income Statements, Statements of Changes in Net Assets, Cash Flow Statements, and supporting schedules.
• Prepare and review Net Asset Value (NAV) calculations and NAV-related reports.
• Support the preparation of investor reporting packages and capital account statements.
• Ensure compliance with applicable reporting GAAP, accounting standards, and regulatory requirements.
• Coordinate with fund administrators, auditors, custodians, and internal stakeholders to resolve reporting issues.
• Perform financial statement disclosures and footnote preparation.
• Validate fund accounting records and reconcile discrepancies.
• Review portfolio valuations, investment transactions, corporate actions, and expense allocations.
• Assist in year-end audits and regulatory reporting processes.
• Ensure adherence to reporting timelines and service level agreements.
• Continuously identify process improvements and automation opportunities within reporting activities.
Preferred Experience
• Experience in preparing financial statements for:
o Hedge Funds
o Private Equity Funds
o Mutual Funds
o Alternative Investment Funds (AIFs)
o Other Investment Vehicles
• Hands-on exposure to NAV reporting and investor reporting.
• Understanding of fund structures, fund accounting, and financial reporting standards.
• Knowledge of investment products, securities, and capital market instruments.
• Experience working with fund administration or asset management organizations will be preferred.
Educational Qualification
• B.Com / M.Com / MBA (Finance) / CA Inter or equivalent qualification.
• Strong understanding of Accounting Principles and Financial Reporting.
Required Skills
• Fund Reporting
• Fund Accounting
• Financial Statement Preparation
• NAV Reporting
• Investor Reporting
• Reconciliation
• MS Excel
• Financial Analysis
• Reporting GAAP Compliance
Responsibilities
We are looking for professionals with experience in Fund Reporting and Financial Reporting for investment management entities. The candidate will be responsible for preparing, reviewing, and delivering financial reports for various fund structures while ensuring compliance with applicable accounting and reporting standards.
Key Responsibilities
• Manage the accurate and timely preparation of fund reporting deliverables.
• Prepare and review monthly, quarterly, and annual financial statements.
• Prepare Balance Sheets, Income Statements, Statements of Changes in Net Assets, Cash Flow Statements, and supporting schedules.
• Prepare and review Net Asset Value (NAV) calculations and NAV-related reports.
• Support the preparation of investor reporting packages and capital account statements.
• Ensure compliance with applicable reporting GAAP, accounting standards, and regulatory requirements.
• Coordinate with fund administrators, auditors, custodians, and internal stakeholders to resolve reporting issues.
• Perform financial statement disclosures and footnote preparation.
• Validate fund accounting records and reconcile discrepancies.
• Review portfolio valuations, investment transactions, corporate actions, and expense allocations.
• Assist in year-end audits and regulatory reporting processes.
• Ensure adherence to reporting timelines and service level agreements.
• Continuously identify process improvements and automation opportunities within reporting activities.
Preferred Experience
• Experience in preparing financial statements for:
o Hedge Funds
o Private Equity Funds
o Mutual Funds
o Alternative Investment Funds (AIFs)
o Other Investment Vehicles
• Hands-on exposure to NAV reporting and investor reporting.
• Understanding of fund structures, fund accounting, and financial reporting standards.
• Knowledge of investment products, securities, and capital market instruments.
• Experience working with fund administration or asset management organizations will be preferred.
Educational Qualification
• B.Com / M.Com / MBA (Finance) / CA Inter or equivalent qualification.
• Strong understanding of Accounting Principles and Financial Reporting.
Required Skills
• Fund Reporting
• Fund Accounting
• Financial Statement Preparation
• NAV Reporting
• Investor Reporting
• Reconciliation
• MS Excel
• Financial Analysis
• Reporting GAAP Compliance
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
