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Senior ML Engineer Freelance/Contract

Senior ML Engineer Freelance/Contract

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

BeGig

8 years

0 Lacs

india

Posted:2 days ago| Platform:

Apply

Skills Required

ml learning maintenance analyze documentation saas ai analysis neo4j chatbot iot parsing programming scipy pytorch graphs model optimization training deployment monitoring azure vertex calibration api support data engineering etl

Work Mode

Remote

Job Type

Contractual

Job Description

Job Role- Senior ML Engineer

Job type- Contract/Freelance

Work Mode- Remote(6-8 hours per day)

Machine Learning Engineer – Predictive Maintenance / NLP

About the Role

Machine Learning Engineer

Responsibilities

Develop ML models for anomaly detection and root-cause analysis using sensor, log, and text data.
Leverage
Neo4j knowledge graphs
and RAG pipelines to map symptoms → causes → solutions.
Process unstructured technical documentation (PDFs) and integrate with embeddings/LLM workflows.
Optimize and calibrate ML models with
OpenVINO
and available datasets..
Collaborate with backend and frontend engineers to deliver outputs via a chatbot interface.
Work closely with stakeholders to validate detection accuracy, diagnosis, and recommendations.

Must-Have Skills

5–8 years total ML experience
, with
3+ years in anomaly detection / unsupervised ML
(sensor, IoT, or predictive maintenance).
2–3 years NLP experience
(document parsing, embeddings, Hugging Face, LangChain/LlamaIndex).
Strong
Python
programming (scikit-learn, SciPy, PyTorch/TensorFlow).
Hands-on experience with
knowledge graphs (Neo4j or similar)
.
OpenVINO
for model optimization and serving.
Familiarity with vector databases (
Weaviate
,
Pinecone
, etc.).
Cloud-based model training, ML deployment and monitoring on
AWS
and
Azure AI Foundry
.

Good-to-Have Skills

Prior experience with
Vertex AI
(optional)
Experience with calibration agents or adaptive learning workflows.
Understanding of SaaS-ready architectures and API-first integrations.
Ability to support basic data engineering (batch pipelines, ETL with Flask).

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