11+ Risk analysis Jobs in Pune | Risk analysis Job openings in Pune

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Job Summary

We are looking for an experienced Defender Antivirus Engineer with 3–8 years of experience in endpoint security and Microsoft security solutions. The ideal candidate should have strong hands-on experience with Microsoft Defender, Microsoft Sentinel, Intune, and Office 365 to manage enterprise endpoint protection, security monitoring, device management, and incident response. The candidate will play a key role in ensuring the organization's security posture through proactive monitoring, threat detection, and endpoint compliance.

Key Responsibilities

• Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
• Manage endpoint devices, policies, and compliance using Microsoft Intune.
• Administer and support Microsoft 365 (Office 365) services, including security configurations.
• Monitor security alerts, investigate incidents, and perform root cause analysis.
• Perform vulnerability assessments and coordinate remediation activities.
• Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
• Implement security best practices for endpoint and cloud environments.
• Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
• Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

• Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Experience administering Microsoft Sentinel (SIEM/SOAR).
• Good knowledge of Microsoft Intune for endpoint and device management.
• Experience with Microsoft 365 / Office 365 Administration.
• Knowledge of endpoint security, threat detection, and incident response.
• Experience with security monitoring, vulnerability management, and compliance.
• Good understanding of Windows Server and Windows endpoint administration.
• Strong troubleshooting and analytical skills.
• Excellent communication and problem-solving abilities.

Job Description:

• Strong hands-on experience in SAP ABAP development
• Expertise in Reports, Interfaces, Conversions, Enhancements, Forms (RICEF)
• Experience with ALV Reports, Smart Forms, SAP Scripts
• Good knowledge of Object-Oriented ABAP
• Exposure to BAPIs, RFCs, IDOCs
• Experience in debugging, performance tuning, and code optimization
• Ability to work closely with functional consultants and understand business requirements
• Good communication and problem-solving skills

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework , LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C# / VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

We are seeking a highly skilled Sr. Oracle EBS Finance Functional Consultant to join our team. The successful candidate will be responsible for providing functional support and expertise in Oracle E-Business Suite (EBS) Finance modules, including General Ledger, Accounts Payable, Accounts Receivable, Cash Management, Fixed Assets, and Purchasing.

Key Responsibilities:

1.     Collaborate with cross-functional teams and stakeholders to gather business requirements and translate them into technical specifications for implementation in Oracle EBS Finance modules.

2.     Provide expertise in the design, configuration, testing, and implementation of Oracle EBS Finance modules.

3.     Identify and troubleshoot issues in Oracle EBS Finance modules, providing timely and effective solutions to minimize business disruptions.

4.     Develop and maintain functional documentation, including business process flows, functional designs, test cases, and training materials.

5.     Deliver training sessions to end-users to ensure the effective adoption and utilization of Oracle EBS Finance modules.

6.     Stay up to date with the latest Oracle EBS Finance functionality and provide recommendations for process improvements and system enhancements.

Requirements:

1.     Bachelor’s degree in finance, Accounting, or a related field.

2.     Minimum of 3-8 years of experience in implementing and supporting Oracle EBS Finance modules.

3.     Strong understanding of accounting principles and financial processes.

4.     Extensive experience in Oracle EBS R12 or above, including functional setup, configuration, and implementation.

5.     Knowledge of Oracle EBS Finance integration points with other modules and third-party systems.

6.     Excellent problem-solving and analytical skills.

7.     Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.

8.     Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.

9.     Experience with full cycle implementations, upgrades, and support

Preferred Qualifications:

1.     Oracle certifications in EBS Finance modules.

2.     Experience in data migration and conversion.

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

Job Description: Technical Recruiter

Location: Pune (Hybrid)

Job Type: 

Contract to Hire

Key Responsibilities:

• Collaborate with hiring managers to understand technical hiring needs and job requirements.
• Source, screen, and shortlist qualified candidates for technical roles (developers, engineers, etc.).
• Conduct interviews, technical assessments, and reference checks.
• Maintain and manage an active candidate pipeline.
• Coordinate interview schedules and facilitate timely feedback.
• Ensure a smooth candidate experience throughout the recruitment process.
• Stay updated on industry trends and best practices in technical recruiting.

Qualifications:

• Proven experience as a recruiter, preferably in IT or technology-related roles.
• Strong understanding of technical job descriptions and technologies (e.g., software development, networking, cloud services).
• Excellent communication and interpersonal skills.
• Ability to manage multiple open positions simultaneously.
• Familiarity with applicant tracking systems (ATS) and recruitment tools.