Capital Market Sales Associate

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Position: Operations Coordinator

Designation: Coordinator

Experience: 0–1 Years

Location: Thane, Mumbai

Job Overview

We are seeking an enthusiastic and detail-oriented Operations Coordinator to join our team. This entry-level role is ideal for fresh graduates looking to build a career in operations and administration. The candidate will assist in day-to-day operational activities, coordinate between teams, and ensure smooth workflow across departments.

Key Responsibilities

• Assist the operations team with daily administrative and operational tasks.
• Support scheduling, documentation, and record management.
• Track project timelines, deliverables, and progress updates.
• Maintain and update data accurately in spreadsheets and internal systems.
• Prepare reports, MIS, and presentations using MS Excel and other tools.
• Coordinate communication across departments to ensure seamless operations.
• Follow company policies, procedures, and operational guidelines.
• Identify opportunities for process improvements and suggest efficiency enhancements.

Qualifications

• Fresh graduate in Management, Commerce, or a related field.
• Strong organizational and multitasking abilities.
• Good verbal and written communication skills.
• Proficiency in MS Office (Word, Excel, PowerPoint).
• Proactive attitude with a willingness to learn and grow.

Key Competencies

• Attention to detail
• Time management
• Adaptability and flexibility
• Team player with a positive attitude 

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)

• Build and manage data pipelines across Bronze, Silver, and Gold layers using Delta Lake

• Implement ETL/ELT workflows for batch and near real-time processing

• Work with Databricks Workflows for orchestration and job scheduling

• Leverage Unity Catalog for data governance, access control, and metadata management

• Optimize Spark jobs, cluster configurations, and cost efficiency

• Collaborate with business and analytics teams to translate requirements into scalable data models

• Integrate data from multiple sources (APIs, databases, cloud storage)

• Ensure data quality, validation, and observability across pipelines

• Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.

• Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines

• Hands-on experience with Databricks platform and ecosystem

• Strong proficiency in Python (PySpark) and SQL

• Experience working with Delta Lake (ACID transactions, time travel, schema evolution)

• Good understanding of data warehousing concepts and dimensional modeling

• Familiarity with Unity Catalog (data governance, RBAC, lineage basics)

• Understanding of Spark performance tuning and optimization techniques

• Experience with cloud platforms (AWS / Azure / GCP)

• Working knowledge of Git and CI/CD practices

• Familiarity with implementing CI/CD processes or other orchestration tools is a plus.

Job Summary:

Core Technical Skills

Strong JavaScript OR TypeScript experience (minimum 2 years)

Angular OR good balance of JS/TS + Angular skills

Understanding of HTTP requests & web technologies

Hands-on project experience in JavaScript ecosystem

Good to have (not mandatory):

Node.js

XPath

Puppeteer

Automation scripting exposure

Coding & Development Skills

Building and maintaining UI components

Writing clean, maintainable code

• Debugging & troubleshooting in production/test environments

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Job Title: Structured Finance Analyst – Energy Transition at AI Platform

Responsibilities:

• Conduct thorough pre-closing due diligence on structured finance deals, including project finance, securitization, and asset-backed lending in energy transition sectors (solar, wind, battery storage, EV infrastructure).
• Analyze credit structures, collateral quality, and cash flow modeling to independently validate underwriting assumptions and identify key risks.
• Prepare detailed investment analysis reports benchmarking AI-driven diligence results against manual underwriting.
• Collaborate closely with AI engineering teams to refine the underwriting platform through continuous feedback on accuracy, coverage gaps, and improvement opportunities.
• Stay abreast of market developments, regulatory changes, and emerging trends in structured finance and renewable energy project finance.
• Participate actively in transaction discussions, providing insightful analysis and contributing to decision-making processes.

Qualifications:

• Minimum 2 years of structured finance experience from an investment bank, rating agency, private credit fund, or fintech lender specializing in structured products.
• Demonstrable experience in analyzing structured finance products, including ABS, project finance, or infrastructure debt.
• Strong proficiency in Excel modeling, cash flow analysis, and scenario testing.
• Understanding of credit risk assessment, collateral valuation methodologes, and deal structuring principles.
• Bachelor’s degree in finance, economics, engineering, or a closely related field; CFA Level I or higher preferred.
• Excellent communication skills, both written and verbal, with the ability to clearly articulate complex financial concepts.

Ideal Candidate Profile:

• A structured finance analyst currently working at a bank, rating agency, or fintech lender seeking a dynamic, innovative environment that leverages cutting-edge technology.
• Demonstrated success in independently conducting deal diligence comparable to an experienced third-year analyst at a top-tier firm.
• Highly analytical, detail-oriented, with intellectual curiosity and passion for energy transition financing.
• Entrepreneurial mindset with adaptability to thrive in a fast-paced, high-growth startup environment.
• Interested in leveraging their structured finance skills to directly impact the growth and accuracy of an AI-driven investment diligence platform.

Process: - International Insurance Outbound Voice Process

Experience: - 0 to 2 years

Pay Scale: - 18k to 25k

Interview Timing: - 3 pm to 10 pm

Location: - office no 409, 4th floor, 93 Avenue Mall, Fatima Nagar, Pune

Qualifications:

1. Bachelor's degree or pursuing a degree in a relevant field

2. High-level fluency in English, both written and verbal

3. Excellent listening & problem-solving skills

4. Strong attention to detail

6. Effective communication skills to articulate solutions clearly to users

7. Ability to work independently and as part of a team

Skills requirements

1. Insurance background

2. Excellent communication skill

3. Fluency in English language

1. Responsible  for taking customer or client calls and offering financial answers to their difficulties and intimating sales with potential customers over the phone.

1. Responsible for assisting consumers or clients with financial purchases.

1. Provide assistance and solutions to the customer regarding financial products and must speak with your supervisor or team leader to resolve any financial difficulties.

1. Provide excellent customer service. 

1. 5. Eager to gain new talents and should have interpersonal, Research and Record Keeping Skills.

Key skills:

1. Must Know  English and at least one  south language ( Kannada, Telugu, Tamil, Malayalam, 

1. Effective communication abilities.

1. Computer Literate.

At least 1+ year of Prior experience as a Tele caller or similar in the Banking or Finance sector.

Frontend Developer (ReactJS)

Company Profile

Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced Frontend engineer with ReactJS development experience to join our team.

Here’s are some of the things you might have to do on any given day:

• Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
• Write meaningful test cases for frontend &amp
• Integrate our products with 3rd party products/tools/services

• Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

Ideal Background / Experience

• At least 12 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
• Expertise in programming using Python/ReactJS or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

• AWS
• Azure
• ELK
• Object Relational Models (SQLAlchemy, etc)
• Google APIs
• Microservices Architecture Pattern
• NodeJS / ExpressJS

Work From Home

Package: upto 10L

Main Responsibilities:

• Should be accountable for the deliverables of assigned MS Dynamics CRM functionality
• Should be able to work with Business groups, Architects to understand the functional expectations, produce technical solutions and documentation
• Should be able to conceptualize and design solution, independently customize, develop/code using MS Dynamics 365 and technologies such as C#, .Net, Integration technologies including SQL Server & Kingsway Soft
• Should be able to own technical impediments, liaise with various groups and troubleshoot /resolve
• Participate in the Scrum process activities including Sprint Planning and Estimating sessions, Daily Stand-ups, Sprint Demos and Sprint retrospectives.

Basic Qualifications:

• 4+ years’ strong experience in MS dynamics 365 implementations & support and extensive experience with C#, .NET, JavaScript, Power apps
• Strong experience in Web API development and plug in’s
• Strong experience in integration technologies including SQL Server & KingswaySoft to connect internal & third-party systems
• Experience with Power BI, SQL Server Integration Services, ASP.net, client-side JavaScript frameworks, Xamarin.

Preferred Qualifications:

• Strong experience using Microsoft Azure Dev Ops, MS Visual Studio and MS SQL server

Technologies

Must have                         Core JAVA, J2EE, Multithreading, OOPS, and Multiprocessing

Great to have                   RabbitMQ, Netty, XML, JSON, Messagepack

Huge Advantage:             Good at mathematics, statistics, complex data structures, algorithms, and design patterns

Other skills

• Ability to understand most complex and challenging problems and solve them from users’ view point
• Ability to create and present software designs (as per the aligned solution) to the product owner
• Ability to build and create modules from scratch.
• Ability to write, understand and deal with large code base
• Experience in understanding and implementing design patterns
• Ability to provide technical leadership to a team of equally talented, efficient and motivated engineers

Roles and responsibilities

• Responsible for solving the most complex and seemingly impossible problems related to variety of dimensions of software engineering. Dealing with Big Data to Complex Data Structures, From Inter Process Communication to sub 100 MilliSec server responses, From Distributed Systems to 99.999 Availability.
• Responsible for providing technical leadership to a team of 3-4 Engineers
• Responsible to drive delivery of a project/module and report to Product Owner
• Responsible for functional/technical tracking of a project/module

Responsibility Split

• 80% Technology, 20% Team management
• With 80:20 split this is definitely a technology oriented role suitable for geeks.