Performance Marketing Manager

osition: Automation Engineer – PLC/SCADA

📍 Location: Mumbai (with travel across India for project/site development)

📅 Experience: Minimum 2 years preferred | Freshers with strong fundamentals are welcome

💼 Salary: As per experience and industry standards

🔍 Responsibilities:

PLC programming and troubleshooting

SCADA development and HMI integration

On-site commissioning and support

Servo & VFD-based application handling

Strong understanding of industrial automation systems

✅ Requirements:

Diploma/Degree in Instrumentation, Electronics, or Electrical Engineering

Good communication skills in English (must)

Hindi proficiency is an added advantage

Willingness to travel for site work across India

Strong analytical and problem-solving skills

Passion for learning modern automation trends

If you're ready to innovate and automate, we’d love to hear from you!

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 

1. Screening resumes of the candidates based on the job description available.

2. Shortlisting resumes based on several search factors such as skills, recently updated resume, location, experience, previous employers etc.

3. Calling the shortlisted candidates to know their interest in the job opening.

4. Convincing candidates to attend the interviews.

5. Finalizing the interview schedule and making the interviewer to be available for taking the interview.

6. After the interview share feedback with the candidate.

7. Salary negotiation and follow-up with them till onboarding.

B.Tech./ BE - Computer, IT, Electronics only

Required Skills:

• 3+ year of experience in Development in JAVA technology and springboot
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

About TrueFan

TrueFan is a celebrity-fan experience platform that enables fans to connect with their favorite celebrities. The business runs on a mobile application where fans compete in an online quiz contest designed on the life of their favorite celebrity (their movies, trivia, facts, etc.) and the winners get a personalized video message from them. The idea is to provide millions of fans an opportunity to fulfill their lifelong dream of interacting with their favorite celebrity while keeping it simple, passion oriented, and engaging for them.

TrueFan is founded by ex-IIT-SRCC alumni and is backed by marquee investors including Ronnie Screwvala, Mayfield Fund, and Saama Capital.

For more details: visit https://www.truefan.in/" target="_blank">https://www.truefan.in/

Job Description

 Job: Full time
Location: Gurugram(Delhi NCR)

Budget: 10 - 30 LPA

We are looking for a React Lead interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as leading and coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

• Build pixel-perfect, buttery-smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes -React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing React web apps to React Native.

What does the core role include?

• Leading a team of Developers to discuss user interface ideas and applications.
• Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
• Designing stateless components in React Native
• Contributing in all phases of the development lifecycle
• Working with the developers to create and maintain a robust framework to support the apps
• Working with the developers to build the interface with a focus on usability features
•  

What else can you expect in the role?

• Prepare and produce releases of software components
• Optimizing performance for the apps
• Problem-solving skills, analytical mind, and positive attitude
• Ability to think from end users perspective and focused on improving the overall product experience.
• Deliver across the entire app life cycle concept, design, build, deploy, test, release to app stores and support
•  

What can fetch you brownie points?

• Hands on experience with React Native is required
• Hands-on experience in React Native APIs, ReactJS, Javascript, ECMAScript (OOJS) and JSX.
• Strong understanding of JavaScript ecosystem
• Hands on experience on Android in creating Hybrid / Native applications
• Demonstrable UI/UX experience on a large-scale app.
• Thorough understanding of React Native development tools like IDEs (Nuclide, Atom, Sublime Text, or Visual
• Good knowledge of JS frameworks like ReactJS is a plus.

Hybrid Apps,React Native, Native iOS and Android Architecture understanding.

Visit Us - https://www.truefan.in/" target="_blank">https://www.truefan.in/

• Guiding team member for handling technical challenges
• Conducting training sessions
• Handling user issues and providing corrective solution
• Fixing of the vulnerabilities and Upgrades of new stable version
• Sustenance and maintenance of Archer tool
• Good scripting knowledge

• Certified RSA Archer Professional, Internal Audit & Controls, Risk (Threat), ISO 27001
• Minimum of 5 years’ experience in the respective field
• Experience of managing a GRC Team
• Strong experience of implementation, commissioning and enhancement of modules of GRC Product
• Strong Understanding of Process workflows, Identifying the manual workflows
• Expertise in configuring GRC tool (Archer)
• Experience with all SDLC activities related to GRC program implementation

Will be developing mobile and web applications using latest technology. Should be good in analysing requirements and translate into applications. Good in understanding application flows.

Tech Skills –

Mobile technology – Hybrid (Ionic / Angular / Cordova ),  – Expert level – Should have completed at least one  project with server component, use of cloud services, use of device native capabilities like camera, accelerometer etc.

HTML, CSS, Bootstrap, Java script – Expert level - Good understanding of concepts and should be able to realize application screens based on the UI provided by designers.

(This is an internship to begin with, later you may be offered a full-time role.)

Requirements:

• Academic degree (BE / MCA) with 3-10 years of experience in back-end Development.
• Strong knowledge of OOPS concepts, Analyzing, Designing, Development and Unit testing
• Scala technologies, AKKA, REST Webservices, SOAP, Jackson JSON API, JUnit, Mockito, Maven
• Hands-on experience with Play framework
• Familiarity with Microservice Architecture
• Experience working with Apache Tomcat server or TomEE
• Experience working with SQL databases (MySQL, PostgreSQL, Cassandra), writing custom queries, procedures, and designing schemas.
• Good to have front end experience (JavaScript, Angular JS/ React JS)