SDE 2, Full Stack Machine Learning Engineer at Poppulo

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, CommunicationsIndustries

Requirements

Strong background in ML (e.g., classification, computer vision) and generative AI (LLMs, RAG, prompt engineering, vector databases)
Experience designing and deploying autonomous AI agents capable of reasoning, planning, and interacting with complex environments (Agentic AI Systems)
Proficiency in managing the lifecycle of large language models, including fine-tuning, deployment, monitoring, and continuous improvement (LLMOps)
Proficiency in HTML, CSS, JavaScript, and frameworks like React, Vue, or Angular (Frontend Development)
Experience with backend frameworks such as Node.js, Django, Flask, or FastAPI; strong understanding of RESTful and GraphQL APIs (Backend Development)
Skilled in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases (Database Management)
Hands-on experience with AWS, GCP, or Azure; containerization (Docker, Kubernetes); CI/CD pipelines (Cloud & DevOps)
Experience deploying and managing ML workflows in production environments (MLOps)
Ability to architect scalable, secure, and maintainable systems (System Design)
Strong analytical skills to break down complex challenges into practical, innovative solutions (Problem Solving)
Experience mentoring and guiding engineering teams (Team Leadership)
Master’s or PhD in Computer Science, AI, Statistics, or a related field
3+ years of experience

Responsibilities

Build End-to-End AI-Powered Products: Design and develop full-stack applications that integrate ML models into seamless user experiences across web and mobile platforms
Develop Scalable APIs and Services: Create robust backend services and APIs to serve ML models, manage data pipelines, and support real-time inference
Craft Intuitive Frontends: Build responsive, user-friendly interfaces using modern frameworks to visualize and interact with ML outputs
Operationalize ML Solutions: Implement the full ML lifecycle—from data engineering and model development to deployment, monitoring, and MLOps on cloud platforms
Prototype Rapidly: Create high-cadence proof-of-concepts to validate ideas and align with product strategy
Optimize Performance: Continuously enhance system and model performance for speed, scalability, and cost-efficiency
LLMOps Integration: Design and manage workflows for deploying, monitoring, and updating large language models (LLMs) in production environments
Collaborate Cross-Functionally: Work closely with product managers, designers, and other engineers to ensure cohesive and impactful product delivery
Stay Ahead of the Curve: Keep up with the latest in AI/ML, full-stack technologies, LLMOps, and Agentic AI to guide architectural decisions

Skills

Key technologies and capabilities for this role

Full StackMachine LearningAgentic AILLMOpsAPIsData PipelinesMLOpsData EngineeringModel DeploymentCloud PlatformsFrontend Frameworks

Questions & Answers

Common questions about this position

What is the salary for this SDE 2 position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What technical skills are required for this Full Stack Machine Learning Engineer role?

Required skills include strong background in ML (e.g., classification, computer vision) and generative AI (LLMs, RAG, prompt engineering, vector databases), experience designing and deploying autonomous AI agents (Agentic AI), and proficiency in LLMOps for managing large language models.

What is the company culture like at Poppulo?

Poppulo values diverse perspectives, encourages applicants even if they don't meet all requirements, and fosters growth in a thriving software company focused on communications and workplace technology.

What makes a strong candidate for this role?

Strong candidates have expertise in ML, GenAI, Agentic AI, and LLMOps, even if they don't meet every requirement, as the company values evolving skills and diverse perspectives.

Poppulo

Communication solutions for employee engagement

About Poppulo

Poppulo focuses on enhancing communication between businesses and their key audiences, including customers and employees. The company offers solutions that facilitate effective communication, recognizing it as a fundamental human need. Poppulo's products are designed to help organizations create meaningful connections and improve workplace experiences. Unlike many competitors, Poppulo emphasizes the importance of people in its approach, aiming to foster a more informed and connected world. The company's goal is to empower its customers to achieve impactful communication that leads to positive results.

Cork, IrelandHeadquarters

2012Year Founded

$34MTotal Funding

LATE_VCCompany Stage

Consulting, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Health Insurance

Flexible Work Hours

Educational Assistance

401(k) Company Match

Paid Vacation

Life Insurance

Wellness Program

Risks

Recent layoffs may indicate financial instability or restructuring challenges at Poppulo.

Adoption of Poppulo AI may face resistance from traditional communication teams.

Integration challenges from mergers may affect seamless service delivery.

Differentiation

Poppulo's Harmony platform integrates employee communications, digital signage, and workplace management.

Poppulo AI enhances productivity with intelligent insights and automation for communication teams.

Poppulo's omnichannel platform is trusted by 47 of the Fortune 100 companies.

Upsides

Poppulo AI boosts productivity and engagement with enterprise-grade AI capabilities.

The Engage '23 Conference highlights Poppulo's leadership in virtual industry events.

Poppulo's recognition as a top software reflects high demand for its communication solutions.

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