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Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures 

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and

a deep interest in scalable, low-latency systems.

• You should have 3–4 years of experience in Python-based development and be eager to solve complex

performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 3–4 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Strong Azure DevOps Engineer Profiles.

Mandatory (Experience 1) – Must have minimum 1+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).

Mandatory (Experience 2) – Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.

Mandatory (Experience 3) – Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell

Mandatory (Experience 4) – Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database

Mandatory (Experience 5) – Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Mandatory (Note) - Only Male candidates are considered.

Mandatory (Location): The candidate must be currently in Bengaluru.

What you’ll be doing

We are much more than our job descriptions, but here is where you will begin:

● Work with stakeholders (product owners, project managers and scrum masters) to define and clarify requirements.

● Hands-on development with both front-end, middle-tier and back-end programming.

● Leverage the DevOps team to ensure products can be built, deployed and tested across all of the release cycles from dev to production.

● Further your strong grasp of modern security principles and apply them to applications.

What you’ll need

Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

● Experience developing macOS, iOS applications using Swift

● Experience releasing successful iOS applications on Apple App Store and Google Play.

● Excellent knowledge of the iOS ecosystem, including third-party libraries.

● Hands-on experience with Swift in a professional environment.

● Excellent understanding of Swift, Android UI design patterns and Material UI guidelines.

● Experience integrating Mobile Apps with back end Web Services (REST)

● Knowledge of the functional and asynchronous concepts in Swift language and asynchronous computing concepts.

● Knowledge of alternative Mobile App frameworks, tools and technologies such as Jenkins Continuous Integration Server, Git, and Maven.

● Proficiency in Java, Objective-C desirable but not required.

Key Responsibilities 

• Responsible for managing end to end HR processes
• Design & implement recruiting strategies for each Business Unit by understanding the manpower requirements
• Lead and execute Recruitments for campus, Lateral, focusing on direct sourcing majorly
• Plan and execute the Talent Management process inclusive of performance appraisals, Career Development and advancement
• Candidates will be responsible to implement new HR programs and activities
• Plan & execute the employee engagement activities
• Solely responsible for maintaining the payroll & attendance system.
• Responsible for comp & ben, HR policies, other generalist activities or any ad hoc responsibilities.

Ideal candidate should have: 

• Should have 3 Years of experience in HR generalist responsibilities with focus on Recruitment and Performance Management.
• Proficient in Excel, Powerpoint with ability to manage MIS and reporting 
• Multitasker and able to manage any ad hoc tasks
• Desire to learn and develop.
• Strong organization skills - ability to meet deadlines, prioritize assignments, etc
• Capable of handling high pressure situations & excellent stakeholder management capabilities

Responsibilities:

• Involvement In Creating of the Test Cases, Test Scenarios and Test Data.
• Preparation Of Test Strategy.
• Involvement In Database Testing
• Responsible for GUI and Functional Testing, using Black Box Testing Techniques.
• Involvement in Test Execution, Result Analyzing, and Defect Reporting.
• Involved in Analyzing the Requirements and Communicating with BA Team for a Better Understanding of the Requirements.
• Responsible For Test Deliverables, Prioritizes and Monitors Activities to Meet Such Dates for Assigned Features
• Identified Test Cases and Test Data
• Execution of Test Cases From JIRA.
• Performing Functional Testing and Regression Testing, Integration, Testing, Sanity Testing.
• Identifying Test Cases for Automation.
• Reviewing the Automation Script

Skills:

• Proven experience as a Quality Assurance Tester or similar role
• Experience in project management and QA methodology
• Familiarity with Agile frameworks and regression testing is a plus
• Ability to document and troubleshoot errors
• Working knowledge of test management
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong organizational skills
• BSc/BA in Computer Science, Engineering, or a related field

ENGINEERING MANAGER @REBEL FOODS

We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods current presence in 7 countries (India, Indonesia, UAE, UK, Malaysia, Singapore, Bangladesh) with 15 + brands and 3500+ internet restaurants has been build on a simple system - The Rebel Operating Model.

While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.

We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods.

https://jaydeep-barman.medium.com/why-is-rebel-foods-hiring-super-talented-engineers-%20b88586223ebe" target="_blank">link 1

https://jaydeep-barman.medium.com/how-to-build-1000-restaurants-in-24-months-the-rebel-method-%20cb5b0cea4dc8" target="_blank">link 2

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 3

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 4

In order to understand more about the challenges that you might face at Rebel, it’s important that we go back to the inception and get acquainted about our journey to date. From the times when excel sheets served as our POS system at stores having one brand, to our evolution as a company that uses smart kitchens - we have traversed the phone, web, and app channels over time. From being a single brand restaurant, we moved to be a parent company with a dozen restaurant brands under the umbrella, while simultaneously moving our operations from a single kitchen to more than 300 locations across 30 cities in India and in a few international locations. The team of engineers at Rebel has built one of the most unique platforms in the world that can not only help operate a kitchen with multiple brands but also aids in operating business at scale. To give you additional perspective, the team has built more than 40+ products in the last 4.5 years. The innovation spans through technologies like polygon architecture (dynamic delivery radius) for a multi-brand operation from a kitchen, to managing each step of the kitchen ops — queuing, load/prep time, batching of orders, out of the door algorithms; inventory prediction based on consumption data, personal

recommendation engine, deep integration with every aggregator, last-mile delivery app, CRM systems, multiple brand websites and apps, reporting and analytics systems, and more. Everything that was mentioned has been built on a tech stack developed by our Engineers. This enabled us to tackle the massive complexity of a multi-brand operation while keeping all parts of the business supremely efficient and optimized.

We are now building Engineering 2.0 at our company. The vision is to make technology the Brain (AI, Machine Learning, analytics to drive every business decision of the company), the Body (robotics led automation at our Kitchens, driving tremendous operational efficiency), and the Mind ( building an AI/ ML-driven virtual personal butler for customers across app, web, and voice, like Netflix of food) at Rebel. This will mean working across technologies and product/engineering teams to build solutions that would be “first - time” in the world. Engineering @ Rebel will break new grounds.

An opportunity to revolutionize the restaurant industry

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers.

You will enjoy working with us, if:

• You are passionate about solving customer problems using people, processes and technology
• You are an engineer at heart, obsessed with high quality software
• You have a flair for good technical and organizational design
• You are unafraid of making bold decisions to eliminate inefficiencies and improving the velocity of software development
• You are an owner and take responsibility for outputs and outcomes
• You are willing to dive deep to solve complex software issues
• You are a teacher and mentor

Our technology ecosystem:

• Languages: Java, Typescript, Javascript, Ruby
• Frameworks and environments: Spring Boot, NodeJS, ExpressJS
• Databases: AWS Aurora MySQL, MongoDB
• Cloud: AWS
• Microservices, Service Oriented Architecture, REST APIs, Caching, Messaging, Logging, Monitoring and Alerting
• CI/CD and DevOps
• Bitbucket, Jira

You will mostly spend time on the following:

• Leading a team of software engineers; owning and developing the roadmap to support your long term vision for the services and conducting tactical execution at the same time
• Hiring, mentoring and coaching your direct reports to be the best they can be, both in their current roles and in their careers
• Liaising with product, business and leadership teams to ensure business priorities are met
• Continuously improving management and engineering processes. Planning, estimating projects and tasks and ensuring software development best practices are being followed
• Working closely with engineers on day to day activities, including writing, reviewing and troubleshooting code
• Owning services, and managing ongoing features, fixes, and daily operations of services
• Teaching and mentoring team members

We’re excited about you if you have:

• At least 15 years of experience in software development, including experience building microservices and distributed systems
• Built and led high performing engineering teams
• Experience working with complex, high traffic, and consumer facing distributed platforms
• Proven engineering knowledge and experience
• The ability to operate at a managerial level as well as diving deep and getting your hands dirty when required
• Experience in establishing software development processes and practices; A track record of good project planning and execution
• Good communication skills, both in person and via the keyboard
• Made decisions that impacted technical design, development and planning for one or more projects / programs that impacted multiple teams or functions.
• Good programming skills in one or more languages: Java, Typescript, Javascript, C#, C++, Python or Ruby
• Experience working in Cloud environments: AWS or Azure or GCP
• Experience building secure, configurable, observable services
• Excellent troubleshooting and problem-solving skills
• The ability to mentor and teach junior and senior engineers
• The ability to collaborate effectively within and across engineering, product and business teams

Job Description

• Participate with the senior developer in the entire application lifecycle, designing, coding, testing, debugging to deployment.
• Implementing designs and coordinating the required backend for it.

• Work on back-end development tasks and designing architecture for the

• Efficient usage of database technologies such as MySQL, MongoDB, Elasticsearch, Redis etc. as part of the dev work.
• Perform research and find opportunities to utilise web development best practices, form guidelines to improve system productivity, and work on scaling and monitoring.
• Work with cross-functional teams to maintain and make sure the product should be scalable, maintainable and secure.
• Coordinate with multiple junior team members for the development of the tasks & projects.

• Bachelor's degree in Computer Science or related field.
• Experience 2 - 6
• Built an application from scratch
• Strong fundamental knowledge of any backend language such as Java,            NodeJS, Spring Boot etc.
• Experience with Backend Web
• Strong computer science fundamentals.
• The ability to own end to end responsibility - right from requirement to release. Willingness and enthusiasm drive to learn new technologies