Senior Product Designer (Mobile)

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 

Geotrackers, are pioneers in the Fleet Telematics industry, providing top-notch GPS devices & solutions to Logistic firms. We're  hiring self motivated, result oriented professionals, with a flair for technology and loads of self-confidence, for the role of Business Development Manager .

Job description

KRAs :

• Own , manage & drive corporate sales activities for the entire region, focusing on B2B sales, business development and solution selling.
• Develop and execute strategies to increase revenue growth through fleet management solutions.
• Collaborate with cross-functional teams to identify new business opportunities and expand existing relationships.
• Provide exceptional customer service by understanding client needs and delivering tailored solutions.
• Analyze market trends and competitor activity to stay ahead in the competitive IT landscape.
• Customer consultation for requirement gathering and product feature mapping
• To deliver product presentation
• Persuasion & Influencing customer decisions
• Negotiation and Sales Closure.
• Customer Relationship Management
• To provide technical consultation, training & ongoing Support
• Ideas and strategies to drive consistent sales performance
• Set up strong customer engagement programs that lead to deeper customer satisfaction, strengthening of customer ties, and effective farming of customer referrals

CANDIDATE PROFILE

Key Skills

• B. Tech + MBA
• Tech Savvy
• Experience in Corporate Sales, B2B Sales, Lead Generation

Soft Skills

• Passion for Sales
• Good communicator
• Sharp thinker
• A keen observer of market conditions
• Positive can-do attitude
• Self-confident
• Resourceful and independent worker, result oriented
• Intelligent, enthusiastic, and self-motivated

Solutions Engineer – Technical Customer Success Owner

Location: Pune | Experience: 2–4 years

About FlytBase

FlytBase powers 24/7 autonomous drone and robot operations across industrial sites—solar farms, refineries, rail yards, and more. With deployments at 300+ sites globally and customers like Oxy, CSX, and Anglo-American, we’re scaling the future of Physical AI.

What You’ll Own

This isn’t a demo-and-disappear job. You’ll lead from discovery to deployment—owning the full technical cycle for enterprise drone automation.

• Customer Success & Technical Discovery: Be the go-to advisor for clients—understand pain points, run PoCs, and deliver solutions they can scale.
• Sales Engineering: Assist in GTM execution, drive revenue with compelling value stories, and close enterprise deals.
• Product Feedback Loop: Turn customer insight into roadmap impact—collaborate with product & engineering to build what the market really needs.
• Thought Leadership: Represent FlytBase at expos, train customers, lead webinars, and create high-signal success stories.

Who You Are

• 2–4 years in enterprise SaaS, robotics, drones, or IoT (customer-facing)
• Proven experience in technical pre-sales or onboarding
• Excellent communicator—comfortable with CEOs and CTOs alike
• Obsessively curious, fast learner, and bias for execution
• Writes clearly, thinks logically, and simplifies complexity
• Bonus: Experience with UAV systems, DJI, APIs, or deployment architecture

AI-Native, Full-Stack Mindset

• Use AI to prototype, scale outreach, and optimize delivery
• Write docs, guides, and customer content that actually helps
• Solve problems—not just show features.

Who We’re Not Hiring

• Slide flippers who disappear after demos
• “That’s not my job” types
• Activity-over-outcome operators
• Anyone allergic to complexity or documentation

Who You’ll Work With

• Sales → Demo, close, and support GTM
• Product → Shape roadmap with insights from the field
• Engineering → Translate problems into features and fixes
• Marketing → Co-build stories that drive adoption.

Ready to Fly?

Apply now: https://forms.gle/4QAUqJxgT7TevpX86

If this felt too intense, it’s probably not for you. But if it sparked a fire—you know what to do.

Job description

Position: Qa Project Lead

Working Days: 5 days 

Experience: 7+ years

Location: Noida Sector-62 ( Work from office only)

Requirements:

• 7+ years of experience with SDLC (Software Development Lifecycle) and STLC (Software Testing Life Cycle).
• Very good experience in all types of testing methodologies, test planning and test execution.
• Good knowledge of manual and automation testing.
• Should have Experience with automation testing using Selenium or any other API/Tool and leading automation developers.
• Experience in deployment of applications using any web server and maintaining a test environment.
• Demonstrated ability to lead a team and should have minimum 2-3 years experience in delivering Enterprise level projects as a Project Lead.
• Adhering to quality standards/process and time schedules provided.
• Strong Stakeholder Management and Communication skills.
• Able to multitask in a dynamic environment.

Responsibilities

• Produce clean, efficient code based on specifications
• Integrate software components and third-party programs
• Verify and deploy programs and systems
• Troubleshoot, debug and upgrade existing software
• Gather and evaluate user feedback
• Recommend and execute improvements
• Create technical documentation for reference and reporting

Requirements and skills

• 1-3 Years of Proven experience as a Backend Developer
• Tech Stack:

• AWS- Lambda, ECS, RDS Arora, RDS PostgreSQL, DynamoDB, S3, SQS, APIG, Cloud Front
• NodeJS
• Typescript(optional)

• Familiarity with Agile development methodologies
• Experience with software design and development in a test-driven environment
• Ability to learn new languages and technologies
• Excellent communication skills
• Resourcefulness and troubleshooting aptitude
• Attention to detail