Customer Experience Executive

Roles and Responsibilities

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Position Overview: The Lead Software Architect - Python & Data Engineering is a senior technical leadership role responsible for designing and owning end-to-end architecture for data-intensive, AI/ML, and analytics platforms, while mentoring developers and ensuring technical excellence across the organization. 

Key Responsibilities: 

• Design end-to-end software architecture for data-intensive applications, AI/ML pipelines, and analytics platforms
• Evaluate trade-offs between competing technical approaches 
• Define data models, API approach, and integration patterns across systems 
• Create technical specifications and architecture documentation 
• Lead by example through production-grade Python code and mentor developers on engineering fundamentals 
• Conduct design and code reviews focused on architectural soundness 
• Establish engineering standards, coding practices, and design patterns for the team 
• Translate business requirements into technical architecture 
• Collaborate with data scientists, analysts, and other teams to design integrated solutions 
• Whiteboard and defend system design and architectural choices 
• Take responsibility for system performance, reliability, and maintainability 
• Identify and resolve architectural bottlenecks proactively 

Required Skills:  

• 8+ years of experience in software architecture and development  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 
• Strong foundations in data structures, algorithms, and computational complexity 
• Experience in system design for scale, including caching strategies, load balancing, and asynchronous processing  
• 6+ years of Python development experience 
• Deep knowledge of Django, Flask, or FastAPI 
• Expert understanding of Python internals including GIL and memory management 
• Experience with RESTful API design and event-driven architectures (Kafka, RabbitMQ) 
• Proficiency in data processing frameworks such as Pandas, Apache Spark, and Airflow 
• Strong SQL optimization and database design experience (PostgreSQL, MySQL, MongoDB)  Experience with AWS, GCP, or Azure cloud platforms 
• Knowledge of containerization (Docker) and orchestration (Kubernetes) 
• Hands-on experience designing CI/CD pipelines Preferred (Bonus) 

Skills: 

• Experience deploying ML models to production (MLOps, model serving, monitoring) Understanding of ML system design including feature stores and model versioning 
• Familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch  
• Open-source contributions or technical blogging demonstrating architectural depth 
• Experience with modern front-end frameworks for full-stack perspective

• 2 to 5 years of experience (or equivalent understanding of software engineering)
• Familiar with one backend language (Node, Go, Java, Python)
• Familiar with Javascript/Typescript and a UI framework
• Willingness and interest in learning new tech/processes (Airflow, AWS, IaaS, etc.)

Relevant experience: 2-3 years

Responsibilities:

1. Should be good at, C, C++, Linux driver development
2. Should have worked in protocol like i2S, SPI, i2C. rf, 6lowpan, Tcp / Ip stack etc..
3. Experience in porting MbedOS , FreeRTOS to different boards is good.
4. Analyzing and enhancing efficiency, stability and scalability of system resources
5. Design, develop, code, test and debug system software
6. Provide post production support
7. Interface with hardware design and development

Requirements:

1. Proven working experience in software engineering
2. Experience in hands-on development and troubleshooting on embedded targets
3. Solid programming experience in C or C++
4. Adequate knowledge of reading schematics and data sheets for components
5. Strong documentation and writing skills

Note: Self-motivated, goal oriented and good analytical skills.

https://www.alivecor.com/">AliveCor, the pioneer of the smartphone EKG, with millions of EKGs from a large and growing user base, seeks a Senior Software Engineer (Backend). You will be an integral member of our engineering team.

• Software Engineer on the backend team working in the following environment: Go, Ruby on Rails, TDD/BDD with RSpec, PostgreSQL, Heroku, AWS. 
• Responsible for developing industry-leading applications transforming the healthcare industry and consumers use.
• Work with our mobile and front-end teams to build new functionality in our consumer and clinician-facing applications.
• Work with our Data Science and AI team to improve functionality of our cloud algorithms and services.
• Create and maintain tools used by internal teams for customer service, monitoring, and R&D.
• Maintain and continuously improve our backend infrastructure to remedy technical limitations before they become an issue.

• Senior Software Engineer ready to build highly visible apps
• Engineers who can raise the skill level of their teammates
• Experience working with Go and Rails
• Experience implementing Service Oriented Architecture or Microservices
• Good intuition for weighing trade-offs
• Product instincts, work with our product and design teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch frequently
• Eagerness and willingness to learn new technologies
• Experience with build process automation and CI/CD
• Ability to work independently on projects and communicate with cross functional teams to deliver products on time

AliveCor is on a mission to define modern healthcare through data, design and disruption. We’ve pioneered the creation of FDA-cleared machine-learning techniques, transformed wearable medtech to put proactive heart care at everyone’s fingertips. Kardia is the most clinically validated mobile EKG technology. AliveCor was named as one of the Top 10 Most Innovative Companies in Health for 2017 by Fast Company as part of the publication’s annual ranking of the world’s Most Innovative Companies. AliveCor was awarded the 2015 Tech Pioneer by the World Economic Forum and one of the 50 Smartest Companies in 2015 by the MIT Technology Review. AliveCor recently announced a collaboration with Mayo Clinic that will result in new machine learning capabilities to unlock previously hidden health indicators in EKG data, potentially improving heart health as well as overall health care for a variety of conditions. AliveCor is a privately held company headquartered in Mountain View, CA.

AliveCor is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, colour, disability, gender, national origin, race, religion, sexual orientation, or any other classification protected by federal, state, or local law.

Watch the following video demonstrating our product.