Product Designer

What We Expect:

We’re looking for an experienced and driven Senior Project Manager to independently lead strategic projects in the trading and capital markets domain. This role is designed for someone who thrives in client-facing environments, has a solid grip on software delivery in trading systems, and can bridge business requirements with technical execution — confidently and independently.  

•       8+ years of project management experience, with at least 5 years in a trading platform environment.

•       Proven track record in client-facing roles, including requirement gathering, expectation management, and solution alignment.

•       Strong understanding of SOW structuring, commercial terms, and delivery contracts.

•       Ability to analyse client requirements for technical feasibility and prioritize features based on business value and effort.

•       Familiarity with trading protocols (FIX), market data flows, OMS/EMS, and post-trade workflows.

•       Excellent communication, stakeholder management, and leadership skills — you can manage up, down, and across.

•       Certifications like PMP, CSM, PMI-ACP, or Agile Coach credentials are a plus.

What You Will Do:

•       Independently manage end-to-end delivery of FinTech projects — from initial scope definition to go-live.

•       Evaluate feasibility of incoming client requirements — analyze scope, assess risks, and align with engineering leads for accurate estimations.

•       Drive Agile delivery across multiple squads — ensuring quality, velocity, and adaptability.

•       Collaborate with product managers, developers, QA, DevOps, and architects for seamless execution.

•       Own project delivery from start to finish — manage scope, timelines, resources, and risk.

•       Manage key client relationships, gather requirements, and ensure alignment throughout the project lifecycle.

•       Drive the creation, review, and execution of Statements of Work (SOWs) — defining deliverables, dependencies, and budgets.

•       Conduct feasibility analysis for incoming client requirements and coordinate with tech leads for impact estimation.

•       Ensure on-time delivery of project milestones, proactively tracking progress and resolving blockers.

•       Maintain high quality standards — enforce review processes, testing gates, and best practices throughout development.

•       Oversee deployment planning and execution, ensuring production rollouts happen smoothly, securely, and with minimal downtime.

•       Mitigate risks, manage dependencies, and escalate roadblocks when needed — always staying ahead of delivery curveballs.

•       Apply Agile methodologies to drive iterative development and continuous improvement.

•       Manage stakeholder expectations and keep communication channels active, transparent, and forward-looking.

•       Mentor junior PMs and contribute to refining delivery frameworks within the organization.

Must-Have Skills:

•       8+ years of project management experience, with at least 5 years in a trading platform environment.

•       Proven track record in client-facing roles, including requirement gathering, expectation management, and solution alignment.

•       Strong understanding of SOW structuring, commercial terms, and delivery contracts.

•       Ability to analyse client requirements for technical feasibility and prioritize features based on business value and effort.

•       Familiarity with trading protocols (FIX), market data flows, OMS/EMS, and post-trade workflows.

•       Excellent communication, stakeholder management, and leadership skills — you can manage up, down, and across.

Nice-to-Have Skills:

• Certifications like PMP, CSM, PMI-ACP, or Agile Coach credentials are a plus.

Role: Senior Data Engineer (Azure)

Experience: 5+ Years

Location: Anywhere in india

Work Mode: Remote

Notice Period - Immediate joiners or Serving notice period

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Data processing on Azure using ADF, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Services, and Data Pipelines
• Provisioning, configuring, and developing Azure solutions (ADB, ADF, ADW, etc.)
• Designing and implementing scalable data models and migration strategies
• Working on distributed big data batch or streaming pipelines (Kafka or similar)
• Developing data integration & transformation solutions for structured and unstructured data
• Collaborating with cross-functional teams for performance tuning and optimization
• Monitoring data workflows and ensuring compliance with governance and quality standards
• Driving continuous improvement through automation and DevOps practices
• 
  

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞:

• 5–10 years of experience as a Data Engineer
• Strong proficiency in Azure Databricks, PySpark, Python, SQL, and Azure Data Factory
• Experience in Data Modelling, Data Migration, and Data Warehousing
• Good understanding of database structure principles and schema design
• Hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms
• Experience with DevOps tools (Azure DevOps, Jenkins, Airflow, Azure Monitor) — good to have
• Knowledge of distributed data processing and real-time streaming (Kafka/Event Hub)
• Familiarity with visualization tools like Power BI or Tableau
• Strong analytical, problem-solving, and debugging skills
• Self-motivated, detail-oriented, and capable of managing priorities effectively

 Automation & MuleSoft experience is a must

 Automation Tools -> Test NG + Rest Assured

 Testing scope -> Integration & API Automation testing (EAPI/PAPI/SAPI), Salesforce integration experience is required

 Mulesoft experience -> Knowledge of API-led architecture, API specification knowledge, Anypoint platform experience - Runtime Manager/Exchange/API Manager/Anypoint Monitoring/Visualizer & Experience with Anypoint Studio is required for the QA Lead

 DevOps automation -> Integrating automated test to DevOps pipelines (Jenkinds/GitHub Actions). GitHub actions experience is a plus.

Programming Languages: Strong proficiency in Java, Python, JavaScript, or C# for writing automation scripts.

 API Testing Tools: Expertise in Postman, REST Assured, Karate, and similar tools for REST API validation and automation.

 Automation Frameworks: Hands-on experience with Selenium, Cypress, Playwright, TestNG, JUnit, and BDD frameworks like Cucumber or SpecFlow.

 CI/CD Integration: Ability to integrate automated tests into pipelines using Jenkins, GitHub Actions, or Azure DevOps.

 Version Control: Familiarity with Git, Bitbucket, and branching strategies for collaborative development.

 Database Knowledge: SQL for data validation and backend testing.

Testing Expertise

 API Automation: Design and execute automated API tests, validate endpoints, and ensure reliability across environments.

 Functional & Regression Testing: Strong understanding of test types including smoke, sanity, and integration testing.

 Defect Management: Experience with tools like Jira and TestRail for tracking and reporting

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

 Build a database of customer leads through references, opening stalls in areas where there are higher

number of footfalls – like apartment complexes, shopping areas etc., door to door visits, distribution of

pamphlets etc.

 Schedule meetings with potential liabilities customers and understand their requirement; thereafter

presenting them with the most suitable products and explaining the features/benefits.

 Communicate clearly to customers on the requirements for various types of products & services

 Ensure that all customer documents are verified with originals and are handled with care and

confidentiality.

 Complete all account opening related processes accurately so that the customer experience is enhanced

and forms the foundation of a long relationship with the bank.

 Maintain continuous communication with customers on the status of their account opening process.

 Frequently communicate with newly signed up customers and assist them with additional products and

services based on their requirements

 Build reference network from newly signed up customers for potential leads.

 Regularly update Daily Sales Reports and discuss on the plans, action items, progress with the supervisor

How to apply: recruit.hrlspl

• Experience of using Python/ Django frameworks in building back end for Full Stack Applications
• Hands on experience on Web frameworks, Restful APIs and SOAP
• Strong command on SQL (or relevant query language or ORM queries)
• Knowledge of front-end technologies such as React Native, React.js, Angular.js or Javascript

• Should have minimum 0ne year experience in US AR Calling .
• Must have experince in Denials
• Must have experience in provider end 
• Candidate should be ready to work in night shift 
• Ready to relocate to Ernakulam
• Preferably immediate joiners