
● Knowledge of Excel,SQL and writing code in python.
● Experience with Reporting and Business Intelligence tools like Tableau, Metabase.
● Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
● Experience with Clevertap, Mixpanel, Amplitude, etc.
● Excellent communication skills.
● Background in market research and project management.
● Attention to detail.
● Problem-solving aptitude.

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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
Telesales Representative Responsibilities:
- Initiating sales with potential customers over the phone.
- Asking questions to engage customers and keep the conversation going.
- Listening to the customers' needs to generate repeat sales.
- Gathering and documenting customer information, payment methods, purchases, and reactions to products.
- Keeping up to date on all products and informing customers of new products.
- Answering customers' questions on the products.
- Meeting sales quotas.
We are seeking a highly skilled and experienced PowerApps Developer to join our team. As a PowerApps Developer, you will be responsible for designing, developing, and deploying custom applications using the Power Platform, including PowerApps, Power Automate, and Power BI. You will work closely with business stakeholders and subject matter experts to understand requirements and translate them into efficient and user-friendly solutions.
Responsibilities:
Design, develop, and deploy custom PowerApps solutions that meet business requirements.
Collaborate with business stakeholders to gather and analyze requirements, and translate them into functional specifications.
Build and customize canvas and model-driven PowerApps applications, including data modeling, form design, workflow automation, and integration with external systems.
Develop and implement Power Automate workflows to automate business processes and streamline operations.
Create and customize Power BI dashboards and reports for data visualization and analysis.
Collaborate with other developers, designers, and administrators to ensure seamless integration and optimal performance of PowerApps solutions.
Conduct thorough testing and debugging of PowerApps applications to ensure high quality and reliability.
Provide technical support and troubleshooting for PowerApps solutions, addressing issues and implementing necessary enhancements.
Stay up-to-date with the latest advancements and best practices in PowerApps development and leverage them to improve the overall application development process.
Document technical specifications, user guides, and other relevant documentation for developed solutions.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
4-8 years of professional experience in software development, with at least 2 years of hands-on experience in PowerApps development.
Strong proficiency in building canvas and model-driven PowerApps applications, including configuring forms, views, and controls, creating custom connectors, and integrating with external data sources.
Experience in developing Power Automate workflows and designing process automation solutions.
Solid understanding of data modeling and relational databases, preferably with experience in Microsoft SQL Server or Azure SQL Database.
Proficiency in creating Power BI dashboards and reports for data visualization and analysis.
Familiarity with the Power Platform ecosystem, including Common Data Service (CDS), Power Apps portals, and Dataverse.
Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Proven ability to work on multiple projects simultaneously and deliver high-quality results within deadlines.
Microsoft certifications in Power Platform development (e.g., Power Apps + Dynamics 365 Developer Associate) are highly desirable.
Note: This job description is a general outline of the required duties, responsibilities, and qualifications of a PowerApps Developer. It is not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Additional tasks may be assigned as needed.
- Should adhere to SDLC processes and Oracle standard documentation /Operating Procedures
- Develop Reports, Charts and Forms using built-in UI components
- Add HTML5 and CSS3 scripting to improve the User Interface thereby providing a better user experience
- Include custom scripting (JavaScript/JQuery/AJAX) as per the business requirement
- Prepare Test cases/reports. Perform Unit , Peer and System Testing on the same
- Inspect / Debug the code logic using the browser developer tools
- Deploy Authentication and Authorization for the modules as per requirement
- Build features and applications with a mobile responsive design (Not mandatory)
- Migrate application and DB objects from DEV to TEST/PROD environments.
- Mandatory to work from Bosch Bangalore office from the start
Mandatory and Optional Skills
Sr. No.
Technical Skills
Mandatory /Good to have
Min Years of hands on Exp in this skill
1
Oracle Apex
Mandatory
3 Yrs
2
Oracle SQL, PL/SQL, Oracle DB Models/Objects
Mandatory
3-5 Yrs
3
Extensive project experience in developing Interactive Reports/Grids, Charts/Graphs, Forms (version > 20.x)
Mandatory
3
4
JavaScript, JQuery, AJAX, CSS and HTML5
Knowledge
1-2 Yrs
5
Data and UI integration with external (Oracle & Non-Oracle) systems
Knowledge
3 Yrs
- Should adhere to SDLC processes and Oracle standard documentation /Operating Procedures
- Develop Reports, Charts and Forms using built-in UI components
- Add HTML5 and CSS3 scripting to improve the User Interface thereby providing a better user experience
- Include custom scripting (JavaScript/JQuery/AJAX) as per the business requirement
- Prepare Test cases/reports. Perform Unit , Peer and System Testing on the same
- Inspect / Debug the code logic using the browser developer tools
- Deploy Authentication and Authorization for the modules as per requirement
- Build features and applications with a mobile responsive design (Not mandatory)
- Migrate application and DB objects from DEV to TEST/PROD environments.
- Mandatory to work from Bosch Bangalore office from the start
Mandatory and Optional Skills
Sr. No.
Technical Skills
Mandatory /Good to have
Min Years of hands on Exp in this skill
1
Oracle Apex
Mandatory
3 Yrs
2
Oracle SQL, PL/SQL, Oracle DB Models/Objects
Mandatory
3-5 Yrs
3
Extensive project experience in developing Interactive Reports/Grids, Charts/Graphs, Forms (version > 20.x)
Mandatory
3
4
JavaScript, JQuery, AJAX, CSS and HTML5
Knowledge
1-2 Yrs
5
Data and UI integration with external (Oracle & Non-Oracle) systems
Knowledge
3 Yrs
The company has a wide distribution of networks locally and globally with its current 650 owned centres covering more than 40,000 locations. They have established themselves as a priority express service provider in the e-commerce B2C deliveries market with its customised services and strong footprint.
They are listed on NSE and BSE, and have 2900 highly skilled employees working across 650 offices all over India.
What you will do:
- Timely preparation and implementation of training calendar on monthly and annual basis
- Identifying the training needs of the employees and nominating for the suitable programs
- Timely nominations for all training programs (Internal & External) and making arrangements/ communication/ coordination
- Organizing induction training programs
- Conducting training programs for front line employees by aligning organizations’ learning strategy with business objectives
- Preparing monthly and annual training MIS and maintaining record of all trainings in HRMS/ERP
What you must have:
- Strong communication and presentation skills
- Ability to research and develop training material
- Excellent time management, problem solving, organization and leadership skills
- Good command over MS office tool
- Knowledge of various tools/ aids used in training
- Web-based portal development for end to end process management
- Work with the real-time feedback from users to make the product better
- Discover, design, develop, deploy, debug. Repeat! In highly agile environment.













