AGM - Sales

Job Title : Medical Device Engineer

Location : Bangalore / Pune

Experience : 5+ Years total, with at least 3 years in Medical Device Development, Sustenance, or DHF Remediation

Notice Period : Immediate to 1 week

Interview Process : L1-selected candidates will undergo a customer interview

Mandatory Skills : Medical Device Development/Sustenance/DHF Remediation, ISO 13485, IEC 60601, ISO 14971, FDA & EU MDR compliance, DHF documentation, Design FMEA, CTS/CTQ, QMS, PLM, Verification & Validation, Impact Assessment.

Key Skills & Knowledge :

• Strong understanding of ISO 13485, IEC 60601, and ISO 14971 standards
• Experience with FDA and EU MDR regulatory requirements

Responsibilities :

• Conduct gap assessments and create/update DHF documents, including user and product requirements, design FMEA, CTS/CTQ, and standards compliance reports
• Analyze and implement design changes, assess impact, and update documentation accordingly
• Identify gaps in verification and validation, ensuring clear traceability between requirements and verification documents
• Assess compliance with applicable standards and regulations
• Define CTS/CTQ parameters and actively participate in design reviews
• Follow QMS guidelines and manage changes through PLM.

We are looking for an exceptional Python Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front end. The ideal candidate must have a rock-solid foundation in core computer science concepts, specifically Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA), to design and implement highly scalable and optimised backend systems.

Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable Python code.
• Develop robust, highly scalable, and low-latency backend architectures and APIs.
• Apply strong OOPS principles to build modular and maintainable software systems.
• Utilise advanced Data Structures and Algorithms (DSA) to solve complex computational problems and optimise application performance.
• Integrate user-facing elements developed by front-end developers with server-side logic.
• Implement security and data protection measures.
• Identify bottlenecks, troubleshoot bugs, and devise elegant solutions to mitigate these issues.
• Collaborate cross-functionally with product managers, front-end developers, and QA engineers to deliver high-quality features.

Requirements:

• Core Python: Strong proficiency in Python programming with a deep understanding of its quirks, ecosystem, and best practices.
• OOPs Expertise: Excellent command over Object-Oriented Programming concepts (Inheritance, Polymorphism, Encapsulation, Abstraction) and design patterns.
• DSA Proficiency: Strong problem-solving skills with a deep understanding of Data Structures (Arrays, Trees, Graphs, Hash Tables, etc. ) and Algorithms (Sorting, Searching, Dynamic Programming, etc. ).
• Frameworks: Hands-on experience with popular Python web frameworks such as Django, FastAPI, or Flask.
• Database Management: Solid understanding of relational databases (e. g., PostgreSQL, MySQL) and ORM (Object-Relational Mapper) libraries.
• API Development: Experience in designing and developing RESTful APIs.
• Version Control: Proficient understanding of code versioning tools, such as Git.
• Clean Code: A strong commitment to writing clean, readable, and properly documented code.

Good to Have (Optional):

• Experience with NoSQL databases (e. g., MongoDB, Redis).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Knowledge of asynchronous programming in Python (asyncio).

Key responsibilities

• Design, develop, and maintain automated test scripts using Katalon Studio for web, API, mobile, and desktop applications.
• Create and execute detailed test plans, test cases, and test scripts based on business requirements and technical specifications.
• Perform functional, regression, smoke, integration, and end-to-end testing across multiple environments.
• Build and manage reusable test frameworks and keyword-driven test libraries within Katalon.
• Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.
• Conduct API testing using Katalon's built-in API testing capabilities and tools like Postman or REST Assured.
• Log, track, and verify defects using bug tracking tools such as Jira; ensure timely closure of issues.
• Participate in sprint planning, daily standups, and retrospectives as part of an Agile team.
• Analyse test results, generate reports, and communicate quality metrics to stakeholders.
• Mentor junior QA team members and contribute to continuous improvement of QA processes.

Good to have

• Katalon certification or any ISTQB / CSTE quality assurance certification.
• Experience with Appium or mobile testing frameworks for Android and iOS.
• Knowledge of performance testing tools such as JMeter or Gatling.
• Familiarity with BDD frameworks like Cucumber and Gherkin syntax.
• Exposure to cloud-based testing platforms such as BrowserStack or Sauce Labs.
• Understanding of SQL for database validation and backend testing.

Position: Team Lead – Data Engineering

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

• Design and architect scalable, high-performance data solutions.
• Lead and mentor a team of data engineers.
• Build and optimize large-scale data pipelines.
• Drive architectural decisions and technical strategy.
• Ensure data quality, governance, and security best practices.
• Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

• Strong hands-on experience in Java & Python.
• Strong expertise in SQL and Big Data technologies.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Apache Airflow for workflow orchestration.
• Strong understanding of distributed systems and data architecture.
• Experience in CI/CD pipelines (mandatory).
• Experience in data warehousing and ETL processes.
• Excellent leadership and stakeholder management skills.

Good to Have:

• Experience with Dataflow (Apache Beam).
• Experience designing enterprise-level data platforms.
• Exposure to DevOps best practices.

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.

We are seeking experienced Mainframe Z/OS System Programmer/Admin to manage z/OS environments.

Job Title - Mainframe z/OS System Programmer

Experience - 4-8 Years

Location - Bangalore, Chennai, Pune [Hybrid/Remote]

Notice Period - Immediate Joiners Preferred

Job Overview

We seek an experienced Mainframe z/OS System Programmer to manage and support z/OS environments. The role includes system upgrades, performance monitoring, installations, troubleshooting, and expertise in ISV tools, JCL, scripting, and system utilities.

Key Responsibilities

1. Administer and support z/OS mainframe systems.
2. zOS install and upgrade, PTF patch apply
3. ISV tools installation and upgrade
4. Parmlib, Proclib 
5. Perform SMP/E & Non-SMP/E installation of ISV products and manage upgrades (z/OS V2.5/V3.1).
6. Configure and manage JES3/JES2, Sysplex, and related components.
7. Configure and monitor TSO/E, ISPF, and basic scripting in REXX/CLIST.
8. Plan and execute z/OS upgrade and maintenance roadmaps.
9. Monitor system performance using tools like SMF and z/OS Health Checker.
10. Support mainframe storage management (SMS/DFSMS) and backup/recovery processes.
11. Resolve incidents using appropriate tools and perform diagnostics as required.
12. Candidates with prior experience as a z/OS System Programmer, specializing exclusively in z/OS administration, are encouraged to apply.

Preferred Technical Skills

1.     Mainframe zOS Admin

2.     zOS install and upgrade, PTF patch apply

3.     ISV tools installation and upgrade

4.     Parmlib, Proclib 

Note

The candidate must have prior experience working as a z/OS System Programmer with hands-on expertise in managing complex mainframe environments.