Job Title: AI/ML Engineer (Founding Team) – Fresher (0–2 Years)
Location: Remote (India)
Employment Type: Internship / Full-Time (Based on Performance)
Hardware Requirement - A Mac laptop or PC equipped with an Apple Silicon processor (M1 / M2 / M3 / M4 chip) is MUST for local model execution and testing.
About Us
We are building an AI-powered Network Reliability Platform that combines Edge Computing, Telemetry, AI, and Network Observability to help businesses automatically detect, diagnose, and explain network failures.
Unlike traditional monitoring tools, our platform uses an Edge Box deployed inside customer networks to collect telemetry, perform AI-powered Root Cause Analysis (RCA), and provide business-friendly insights through dashboards and intelligent alerts.
We're looking for a passionate AI Engineer who enjoys solving real-world infrastructure problems rather than only building chatbots.
What You'll Build
You'll contribute to the core AI layer of our platform, working on:
- AI-based Root Cause Analysis (RCA)
- Telemetry data analysis & Time-series anomaly detection
- Network incident correlation & AI-powered incident summarization
- Recommendation engines & predictive maintenance capabilities
- AI model evaluation, optimization, and LLM integration (where applicable)
Responsibilities
- Design and implement AI models for network reliability.
- Analyze telemetry, logs, metrics, and time-series data.
- Build anomaly detection and incident classification models.
- Research modern AI techniques for infrastructure monitoring and read research papers.
- Integrate LLMs where they provide practical value.
- Work closely with backend and Edge engineers to optimize models for edge deployment.
- Write clean, maintainable, and well-documented code.
Hardware & Tech Requirements A Mac laptop or PC equipped with an Apple Silicon processor (M1 / M2 / M3 / M4 chip) is MUST for local model execution and testing.
Required Skills
- Programming: Python, SQL, Git & GitHub
- AI / ML Fundamentals: Deep Learning basics, Supervised & Unsupervised Learning, Feature Engineering, Model Evaluation
- Frameworks: PyTorch or TensorFlow, Scikit-learn, Pandas, NumPy
- LLM & Generative AI: Basic understanding of LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases, Hugging Face
- Data Handling: Data preprocessing, Time-series data, Log & Metrics analysis
Good to Have / Bonus Skills
- Networking & Infra Basics: TCP/IP, DNS, DHCP, HTTP/HTTPS, Linux, Docker, REST APIs, Edge AI, OpenTelemetry, eBPF
- Advanced Frameworks & Tools: LangChain, LangGraph, Ollama, vLLM, OpenAI/Gemini API, FastAPI, Kafka, Redis, PostgreSQL, Neo4j, GraphRAG, Time-series databases
- System Design: Microservices, Cloud fundamentals
What We're Looking For
We value engineers who:
- Love solving complex engineering problems.
- Can independently research new technologies and adapt quickly.
- Think like product builders, not just coders.
- Take ownership of features from research to production implementation.
- Enjoy collaborating in a fast-moving startup environment.
Preferred Projects
Candidates with practical hands-on experience/projects in:
- AI Agents & RAG Applications
- LLM Integrations
- Network Monitoring & Anomaly Detection
- Time-Series Forecasting & Predictive Analytics
- Computer Vision or Recommendation Systems
Who Should Apply?
- Final-year students & recent graduates
- Engineers with 0–2 years of experience
- Candidates with strong personal project/internship portfolios
- Open-source contributors (preferred)
Hardware & Tech Requirement - A Mac laptop or PC equipped with an Apple Silicon processor (M1 / M2 / M3 / M4 chip) is MUST for local model execution and testing.
Pay: ₹5,000.00 - ₹10,000.00 per month
Benefits:
- Flexible schedule
- Paid sick time
- Work from home
Work Location: Remote
