AI/ML Engineer

Job Title: Senior AI/ML Engineer – Python (Telecom Products)

Location: Navi Mumbai (On-site)

Experience: 3–8 years (AI/ML + backend engineering)

Position Type: Full-time

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

• 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.
• Python Expertise:
• Strong proficiency in Python for ML, data processing, and backend integration.

• ML & Analytics Skills:
• Solid understanding of ML techniques such as:
• Classification, clustering, anomaly detection
• Time-series analysis
• Statistical and rule-based hybrid approaches
• Data Handling at Scale:
• Experience working with large, high-velocity datasets.
• Strong skills in data preprocessing, feature engineering, and validation.
• System & Performance Awareness:
• Ability to design ML solutions that respect latency, throughput, and resource constraints.

• Linux Environment:
• Strong experience working in Linux-based systems.

• On-site Requirement:
• Must be based in or willing to relocate to Navi Mumbai and work on-site.

Preferred Skills (Strong Advantage)

• 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.
• Experience with containerized ML services (Docker / Kubernetes) is a plus.