Machine Learning Engineer

at ProofofSkill

Machine Learning Engineer

ProofofSkill

Company

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Machine Learning Engineer

at ProofofSkill

Posted by Atharva K

3 - 5 yrs

₹28L - ₹30L / yr

Bengaluru (Bangalore)

Skills

databricks

XGBoost

Python

Machine Learning (ML)

SQL

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

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

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About ProofofSkill

Founded :

2024

Type :

Product

Size :

0-20

Stage :

Raised funding

About

N/A

Company social profiles

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HTML/CSS

AngularJS (1.x)

As a Senior Associate, Interactive Development, you will play a key role in delivering stable, enterprise-level software to our clients. You will be an individual contributor who is able to work independently to convert rich interactive designs to web applications that conform to our standards and best practices. The Senior Associate will provide guidance to junior team members and will potentially lead a team of 3-5 people, delivering an entire track of work. Expected Competencies: Elements Expected Proficiency Level HTML • Hand-codes advanced HTML documents from scratch • Applies the knowledge of how and why to use little-known or little-used elements • Uses advanced accessibility attributes like table Index and access key where appropriate • Understands the different DOCTYPE declarations, their relevance, and meaning • Creates clean pages without inline styles or scripts or excessive element nesting • Ensures projects follow best markup practices and assists others with issues CSS • Applies advanced CSS concepts and best practices • Creates intermediate layouts from scratch • Able to articulate the difference between inline, in-document and external style sheets and how they cascade. • Understands the impact of CSS techniques such as image replacement on SEO and Accessibility • Applies understanding of CSS short-hand • Basic knowledge of CSS3, including effects, responsive design, and CSS preprocessors/frameworks such as SASS/Compass • Creates table-less layouts using positioning and floats • Validates CSS with the W3C validator • Researches and debugs non-complex bugs and browser issues • Ensures projects follow best styling practices and assists others with issues JavaScript • Applies knowledge of unobtrusive JavaScript, event listeners and handlers, and custom events • Writes event handlers for touch, gesture, and other interactions in addition to mouse events • Follows OOJS techniques for coding • Can implement at least one type of JavaScript library or framework and use most core functions to meet functional and technical requirements for a project • Applies advanced features of or extends ready-made plugins • Can build simple application components • Understands HTTP and RESTful interfaces and uses that knowledge to debug AJAX requests • Is familiar with functionality available in advanced browser APIs such as geolocation, drag and drop, and RTC • Validates JS with JSHint/JSLint • Uses feature detection (either manually or with a library such as Modernizr) instead of user agent sniffing to test for available functionality. • Is familiar with mobile development methodologies, including “hybrid” web/native solutions, such as those involving PhoneGap or similar frameworks • Is aware of the performance implications of loops, DOM manipulation, and variable caching • Researches and debugs non-complex bugs • Ensures projects follow best JavaScript practices and assists others with issues Architecture • Understands the basics of OO design like encapsulation, abstraction, polymorphism • Understands the basics of commonly used data structures • Can produce a logical object entity model for a given problem statement. • Is familiar with commonly used design patterns, such as the GOF patterns, IOC/DI and others. • Has created the low level design of one or more modules of a medium complexity application. • Is familiar with one or more design notations, such as UML for creating class and sequence diagrams. • Is familiar with commonly used class and package design principles, such as high cohesion/low coupling, single responsibility principle, open/closed principle, interface segregation principle etc. Experience • 6+ years of professional web development experience Key Responsibilities Areas: Major Activities Client • Client workshop note taker • Client meeting Architecture, Design & Leadership • Work with project management to accurately estimate and scope out projects • Work with information architecture and design teams during planning and production phases • Ensure cross-device and cross-platform compatibility • Converse with back-end teams to create optimum integration solutions • Mentor, coach and manage team members while managing your team’s track of work to completion • Be able to produce clear and concise technical specification documents for internal and external use • Thrive under tight deadlines while managing time efficiently and effectively allocating work to junior team members • Project issue and risk manger • Delivery processes compliance manager Implementation • Problem solving in a proactive and efficient manner • Be responsible for the quality of your work throughout its lifecycle • Write code based on functional specifications • Optimize development for user experience • Comment code and produce documentation to industry standards • Produce code to the highest standards while adhering to industry accepted architecture and design pattern techniques and methodologies (e.g., MVC, SOA, OOP, DI etc.) • Solution prototyper • Software Build-master • Quality Assurance analyst Community • Trainer • Project level and peer review coordinator • Project team celebration owner • Delivery Focus Areas owner • Recognition owner • Delivery Capabilities team liaison • Proactive in the global Sapient development community Education: Bachelor’s degree required

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