Copywriter

Project Manager – Capital Markets

Chella Software are a global software provider of fintech solutions for central banks, exchanges, central counter parties, and financial market intermediaries. They meet the software needs of customers in India, the Middle East, Africa, Singapore, and the USA.

Key Responsibilities:

1. Project Planning & Documentation

2. Risk & Dependency Management

3. Stakeholder & Client Communication

4. Review & Governance Cadence

5. Reporting & Visibility

6. Coordination & Collaboration

7. Client Relationship Management

We are looking for a detail-oriented Project Planning professional to manage project timelines, documentation, and stakeholder coordination. The role involves maintaining and updating project planning templates including milestones, deliverables, risk logs, and dependency trackers. You will be responsible for driving regular review cadences (weekly/fortnightly), stakeholder meetings, and ensuring clear communication with clients including MOMs, scope changes, and escalations. The candidate will identify bottlenecks, manage internal and external dependencies, and ensure smooth cross-functional coordination. Additionally, the role requires maintaining visibility across projects, managing escalation matrices, and supporting timeline renegotiations when required. Strong organizational skills, communication, and proficiency in Excel and PPT are essential.

Interview process

1st round Virtual

2nd round Face to Face

Skills:

Required Skills & Qualifications

• M.B.A or equivalent in sales and marketing with a B.E / B.Tech in Computer Science, Information Systems, Electrical, Electronics or a related field.
• 5+ years of experience in a IT Project management
• Ability to understand and explain technical concepts to technical and non-technical stakeholders.
• Basic knowledge of databases, APIs, and enterprise systems integration.
• Strong communication and presentation skills.
• An analytical mindset with attention to detail and problem-solving skills.
• Familiarity with capital markets concepts such as trade lifecycle, securities
• settlement, depositories, custodians, and regulations will be an advantage.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Build and maintain products. Build products and features, through inception, design, implementation and launch, working closely with multiple disciplines across the company. You will spend the majority of your time working on critical projects which require focus on integrations, scalability, and performance. You will also be the first line of defense in ensuring that the product features are achievable and have a clear purpose, trimming off unnecessary detailing, especially in the earliest stages. Align across teams and stakeholders. Play a key role in ensuring that objectives and expectations are aligned across multiple concurrent products. You are expected to break down features within each project and prioritize tasks based on the expertise of the team, keeping redundancy in mind. 

Maintain a high bar for code quality and future proofing. Implement processes for checking in code that maintains a high bar of code quality. You are expected to optimize for a solution that affords the best user experience in a reasonable amount of time while ensuring to allow for adequate security, ability to scale in the future etc. 

Responsibilities

● Design, build and maintain scalable, secure web services and distributed systems

● Design and develop robust solutions for client onboarding, portfolio analytics, tokenized security issuance, authentication, and security

● Build solutions to integrate with APIs of external solutions providers including crypto custodians, exchanges, fund admins etc.

● Architecting and building frontend features in React.js

● Ensuring a highly performant and responsive UI

● Help maintain existing codebase, infrastructure, test coverage, and documentation

● Communicate requirements effectively within and across teams

● Independently work and lead project initiatives in a fast paced environment

Requirements

● 5+ years of work experience as a Senior Software Engineer or similarly senior member of a fast scaling company, ideally building products from ideation to launch with a strong engineering team. Web3 based experience preferred.

● Have experience in rapid prototyping of features across various products. Demonstrable open source contributions and experience with Git advantageous.

● Professional experience with Python, Javascript, Typescript, or Go

● Must have experience building and/or integrating with RESTful APIs

● Working knowledge of Django, FastAPI, or React.js and Redux

● Working knowledge various frontend frameworks and languages such as HTML, CSS

● Experience monitoring and scaling microservice-oriented systems

● Familiarity with websocket architecture and implementation

● Experience working with cloud-native AWS infrastructure and/or Kubernetes

● Team-building and technical leadership experience

● Being nimble and reacting quickly to changing business conditions

● BTech in Computer Science or a related field (Masters is a plus

Benefits

● Competitive salary, benefits & participation in the firm's ESOP program

● Be part of something exciting. Rare opportunity to come in early and build the next generation of institutional grade financial services.

● International work environment and flat organization. Possibility for relocation and international transfers mid-career

Job Role: AUTOSAR Integration Expert

Mandatory Skills:

• AUTOSAR Integration (Vector, EB, CAN UDS, Vector Tools, BSW Integration)
• Minimum 4 years of relevant experience in automotive software development
• Extensive experience in AUTOSAR with different vendor stacks (Vector, EB), tools, and methodologies
• Hands-on experience in AUTOSAR stack integration, preferably with Vector stack
• Strong knowledge of various communication protocols: Ethernet, CAN, LIN, and FlexRay
• Solid understanding of different BSW (Basic Software) stacks
• Proficient working experience with various microcontrollers
• Strong embedded C programming and debugging skills
• Familiarity with software branching and merging methods

Job Responsibilities:

• Engage in tasks related to the integration and development of Flash Bootloader (FBL) features and perform comprehensive testing activities.
• Collaborate continuously with counterparts in Germany to understand requirements and effectively interpret and develop FBL features.
• Responsible for creating test specifications and documenting results accurately.

Why Join InfoGrowth?

• Become a key player in an innovative team dedicated to revolutionizing the automotive industry with cutting-edge software solutions.
• Work on exciting projects that challenge your skills and promote professional growth.
• Enjoy a collaborative and dynamic work environment that values creativity and teamwork.

ROLE - HR Executive

We're seeking a qualified Hr Executive to recruit a sales executive in regard to selling annual car and bike subscription products that our customers have grown to rely on. We are a growing platform and are required to target customers by hiring more sales executives on daily basis.

We are open for BDA, TL, and BDM profile 

Experience:0.6-4 years

Job Location: Work from home

Selection process:- Business Development Manager round.

Qualification: B.com, BBA, MBA in Hr

Salary offered: 20-25k

Working days: 6 working days with Sundays off

Shifts: 10:00am -7:00pm

Mandatory language: Hindi and English 

Laptop/wi-fi: candidates are to use their own laptops, wi-fi will be reimbursed.

Additional Compensation: If applicable, this will be decided on the basis of your designation.

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 

Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

Hiring at JRG Financial Services Pvt Ltd

Summary of Hiring Deputy Manager/Asistant Manager

Role:

1. Process client instructions, forms, and applications

2. Follow up to ensure that appropriate timely action was taken on customers' instruction

3. Handle customer complaints, provide appropriate solutions and alternatives within the time limits, and follow up to ensure the resolution

4. Maintain updated records of applications and relevant documents

5. Follow communication procedures, guidelines, and policies

Apply Here- https://jrgfinancial.com/join-our-team/

Qualifications

Minimum Graduate