11+ Production control Jobs in Bangalore (Bengaluru) | Production control Job openings in Bangalore (Bengaluru)

Position Title: Motor Control Unit Software Testing Engineer – MBD

Reporting To: Manager – MCU Software

Location:Bangalore

Employment Type: Contract

Experience: 4–6 Years

Industry Preference: Automotive

Educational Qualification: B.Tech / M.Tech in Electrical Engineering or related discipline

About the Role  

We are looking for a Model Based Test (MBD) Engineer with strong experience in Motor Control Unit (MCU) software functional verification at subsystem level for automotive applications. The role involves model-based testing, verification, and validation of motor control software using MATLAB/Simulink environments and MathWorks toolchains.The ideal candidate should have hands-on experience in MIL/SIL testing, test case development, verification planning, issue analysis, and subsystem-level validation of motor control software for induction motor and PMSM applications.

  Key Responsibilities  

• Perform subsystem-level functional verification and validation of MCU software
• Work on Motor Control FOC software architecture for Induction Motors, PMSM motors
• Create and execute Design Verification Plans (DVP)
• Perform software unit testing using MIL (Model-in-the-Loop), SIL (Software-in-the-Loop)
• Develop and execute test cases using MATLAB, Simulink, and Simulink Test Harness
• Identify and report issues, support debugging and resolution activities
• Generate validation and final test reports
• Support MCU software calibration activities at vehicle level
• Work with microcontrollers, preferably Infineon TriCore

Required Skills  

• Strong knowledge of MATLAB, Simulink, Simulink Test Harness, MathWorks toolchain
• Experience in MIL/SIL testing and model-based verification
• Understanding of Motor Control FOC architecture and automotive embedded systems
• Good analytical, debugging, and problem-solving skills
• Understanding of automotive software development and validation processes is an added advantage. 

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 

EXCITED ABOUT YOUR TASKS?

• Manage end-to-end service delivery for multiple clients, ensuring quality, efficiency, and adherence to SLAs.
• Act as the single point of contact for client communication related to service delivery performance and improvements.
• Monitor service performance metrics and initiate corrective and preventive actions to address service issues.
• Drive continual service improvement initiatives and process optimizations.
• Collaborate with cross-functional teams, including project managers, technical teams, and support staff.
• Ensure smooth onboarding and transition of new projects and services.
• Conduct regular service reviews with internal stakeholders and clients.
• Handle escalations effectively and ensure timely resolution.
• Maintain and enhance client satisfaction by fostering strong relationships and ensuring proactive communication.
• Prepare and present reports on service performance, risk mitigation, and improvements.
• 
  

WHAT WILL YOU NEED TO SUCCEED?

• MBA in Marketing/management or a related field. 
• Minimum of 5 years of experience in IT service delivery or customer success roles in a service-based environment.
• Excellent problem-solving, stakeholder management, and communication skills.
• Experience managing service teams and delivering services across various technologies or domains.
• Ability to manage multiple projects and clients simultaneously.
• Proven track record of improving client satisfaction and operational efficiency.
•  Familiarity with CRM tools and customer success platforms is a plus.
• Ability to think critically and address client concerns efficiently.

• Crafting the performance marketing strategy for the company and managing the overall online marketing calendar around the same
• Managing all online properties of the brand
• Measuring ROI and a set of other KPIs, based on in-depth analysis of standard digital metrics
• Liaising with multiple agencies, as well as internal offline and traditional marketing teams to devise and execute innovative marketing campaigns throughout the year
  
  

• 5+ years experience in Digital Marketing with experience in Digital Advertising, Website Management, Lead Generation, and/or Lifecycle Marketing
• Experience with problem-solving and analytical skills including conducting qualitative and quantitative research, analyzing data, data visualization, developing hypotheses, synthesizing insights & recommendations
• Experience with digital and web analytics and data tracking tools (e. g., Google Analytics, ) and SQL
• Website management and technology experience including CMS, HTML, CSS, and Javascript
• Experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
• Experience using various Facebook Interfaces: Ads Manager, Power Editor, Business Manager, Page Insights
• Experience with ad serving tools and DSPs (e. g., DoubleClick, Adobe Advertising Cloud)
• Experience working both strategically as well as in an executional capacity to build and deploy the campaign
• Experience presenting ideas to several stakeholders at once
• Experience collaborating and coordinating with internal and external cross-functional teams
• Experience with digital marketing and digital measurement latest trends and best practices

We are looking for an Android developer interested in building performant mobile apps on Android platforms. You will be responsible for architecting and building the applications, as well as coordinating with the teams responsible for other layers of the product infrastructure.

Requirements

• Build pixel-perfect, buttery smooth UIs Android platform.
• Leverage native APIs for deep integrations with Android platform.
• 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.
• Maintain code and write automated tests to ensure the product is of the highest quality.

Skills

• Firm grasp of the Kotlin language and its nuances.
• Knowledge of functional or object-oriented programming Ability to write well-documented and clean code.
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools, like Gradle , Android Studio, IntelliJ and Play console. Understanding of REST APIs, the document request model, and offline storage

Interpersonal Skills

• Self-motivated, team player, action--and-results oriented.
• Well organized, good communication and reporting skills.
• Ability to successfully work under tight project deadlines.

          Experience in Kotlin is mandatory .

We are looking for an experienced and creative Digital Head to join our team. You will be responsible for developing and implementing our Social Media strategy in order to increase our online presence and improve our marketing and sales efforts. You will be working closely with the Marketing and Sales departments.

Responsibilities

• Develop, implement and manage our social media strategy
• Define most important social media KPIs
• Manage and oversee social media content
• Measure the success of every social media campaign
• Stay up to date with the latest social media best practices and technologies
• Use social media marketing tools
• Attend educational conferences
• Work with copywriters and designers to ensure content is informative and appealing
• Collaborate with Marketing, Sales, and Product Development teams
• Monitor SEO and user engagement and suggest content optimization
• Communicate with industry professionals and influencers via social media to create a strong network
• Hire and train others in the team
• Provide constructive feedback

Requirement

• Experience : 3-6 Years
• Excellent knowledge of Facebook, Twitter, LinkedIn, Pinterest, Instagram, Google+, and other social media best practices
• Education: Any degree
• Excellent multitasking skills
• Proficient in English

Position: Backend Developer 1 / Backend Engineer:

Location: Bangalore

Experience:  .5 to 4 years, preferably in an agile environment

Strong Knowledge Node.js and MongoDB
Good Knowledge on Flask, SQL and other databases
Good Knowledge on Deployment Process (Nginix, Docker, AWS, Digital Ocean)
Basic Knowledge on Python

Responsibilities
As an SDET at Jumio, the candidate is expected to develop and maintain automated functional, integration and load tests for web applications that ensure the quality of developed product features. They are supposed to be champions of quality and participate in developing and enhancing continuous delivery solutions. They are expected to participate
actively in agile development rhythms (scrum, kanban etc), be able to read / write good quality code. The role also requires some level of manual testing depending on project needs.

Required Qualifications

1. Bachelor's Degree in Computer Science or related field and 3+ years relevant work experience.
2. Experience in unit testing, acceptance testing, integration testing, system/end-to-end testing for Web applications / REST services
3. Experience in Spring Framework is required
4. Minimum 3 years experience with Java or Groovy or Python
5. Ideally some experience with Spring Boot, Docker, Selenium, AWS
6. Comfortable usage of UNIX-like operating system and basic bash scripting knowledge
7. Spring Framework Knowledge
8. Enjoy working in a self-organizing team environment
9. Strong debugging, troubleshooting, and problem solving skills
10. Think further than the solution appears to require
11. Excellent analytical, conceptual and communications skills in spoken and written English
12. Fast learner, high capacity for abstract thinking and structured approach to work plus a hands-on mentality and international mindset

1. Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architecture
2. Strong understanding of system and application performance characteristics
3. .Net or AngularJS knowledge
4. Mobile Automation Testing, esp. Appium
5. Machine Learning / Computer Vision knowledge