Pert Telecom Solutions
Website:
pertsol.com
Job details:
Location: Navi Mumbai (On-site)
Experience: 5–12 years (AI/ML + backend engineering)
Position Type: Full-time
No. of Positions: 2–3
Product Areas: Lawful Intercept (LI), Location Based Services (LBS), Network Probes & Monitoring Systems
Job Description
We are looking for Senior AI/ML Engineers (Python) to enhance our telecom-grade products in Lawful Intercept (LI), LBS, and network probe systems by applying machine learning, analytics, and intelligent automation.
The role focuses on integrating AI/ML into existing high-performance systems, such as traffic classification, anomaly detection, pattern discovery, predictive analytics, and intelligent data enrichment—while respecting regulatory, performance, and scalability constraints.
This is not a research-only role. Candidates must be capable of taking models from concept to production in real-world telecom environments.
Key Responsibilities
1. AI/ML Use-Case Development
• Identify and implement AI/ML use cases that enhance LI, LBS, and probe products
2. Model Design & Implementation
• Design, train, and validate ML models using real telecom datasets.
• Select appropriate algorithms (supervised, unsupervised, statistical, or hybrid) based on data and system constraints.
• Ensure models meet accuracy, latency, and scalability requirements.
3. Production Integration
• Integrate ML models into existing Python / system pipelines.
• Optimize models for low-latency inference and high-throughput processing.
• Work closely with core product teams to embed AI features without impacting system stability.
4. Data Engineering & Feature Development
• Work with large-scale structured and semi-structured data (IPDR, logs, probe outputs, location data).
• Design and maintain feature extraction pipelines.
• Handle noisy, incomplete, and high-velocity telecom data.
5. Model Monitoring & Lifecycle Management
• Implement model monitoring, drift detection, and retraining strategies.
• Validate model behavior under production traffic patterns.
• Ensure explainability and traceability where required for regulatory environments.
6. Collaboration & Knowledge Sharing
• Collaborate with backend, system, QA, and DevOps teams.
• Participate in design reviews and contribute to AI/ML best practices across the organization.
Mandatory Requirements
1. Experience:
- 5–12 years of overall experience, with strong hands-on work in AI/ML and Python-based systems.
- Proven experience deploying ML models in production environments.
2. Python Expertise: Strong proficiency in Python for ML, data processing, and backend integration.
3. ML & Analytics Skills:
Solid understanding of ML techniques such as:
- Classification, clustering, anomaly detection
- Time-series analysis
- Statistical and rule-based hybrid approaches
4. Data Handling at Scale:
- Experience working with large, high-velocity datasets.
- Strong skills in data preprocessing, feature engineering, and validation.
5. System & Performance Awareness: Ability to design ML solutions that respect latency, throughput, and resource constraints.
6. Linux Environment: Strong experience working in Linux-based systems.
7. On-site Requirement: Must be based in or willing to relocate to Navi Mumbai and work on-site.
8. Preferred Skills
- Telecom Domain Experience: Prior experience with LI, IPDR, LBS, probes, mediation, or telecom analytics systems.
- ML Frameworks: Hands-on experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- Streaming & Real-Time Processing: Experience working with real-time or near-real-time data pipelines.
- Deployment & MLOps: Familiarity with model deployment, monitoring, and CI/CD pipelines and
Experience with containerized ML services (Docker / Kubernetes) is a plus
Click on Apply to know more.