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.

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

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.E xperience:

- 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:

- Robust 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.

Preferred Skills (Strong Advantage)

1. Telecom Domain Experience:

- Prior experience with LI, IPDR, LBS, probes, mediation, or telecom analytics systems.

2. ML Frameworks:

- Hands-on experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks.

3. Streaming & Real-Time Processing:

- Experience working with real-time or near-real-time data pipelines.

4. Deployment & MLOps:

- Familiarity with model deployment, monitoring, and CI/CD pipelines.
- Experience with containerized ML services (Docker / Kubernetes) is a plus.

📌 Senior AI/ML Engineer – Python (Telecom Products) (Navi Mumbai)
🏢 Pert Telecom Solutions
📍 Navi Mumbai