Senior Data Science Engineer, India

Evertz Microsystems Limited; Bengaluru; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Flexible working opportunities

In-house knowledge and product training

Performance-related bonuses

Insurance and medical plans

Employee-friendly leave policy

Job summary

Evertz Microsystems Limited seeks a Senior Data Science Engineer in Bengaluru to lead the design and scaling of intelligent systems. The role emphasizes advanced Generative AI and High-Performance Data Architectures, requiring extensive Python proficiency and cloud experience.

As part of a dynamic team, you will also oversee the ELK Stack and collaborate across AWS, Azure, and GCP platforms. The position offers flexible working opportunities, performance-related bonuses, and a supportive office culture.

Qualifications

• 6+ years of professional experience in Python development with emphasis on maintainable code.
• 4+ years of experience with Elasticsearch and PostgreSQL.
• 3+ years experience with deep learning and NLP solutions.

Responsibilities

• Architect and maintain the ELK Stack for real-time observability.
• Design task-oriented AI agents for complex workflows.
• Deploy and monitor Large Language Models for analytics.

Skills

Python proficiency

Data Layer Expertise (Elasticsearch, PostgreSQL)

Generative AI & NLP knowledge

Cloud & DevOps experience

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

Docker

AWS

Azure

GCP

Job description

We are seeking a visionary and execution-focused Senior Data Science Engineer to spearhead the design, development, and scaling of our next‑generation intelligent systems. This role is built for a technical heavyweight who sits at the intersection of Advanced Generative AI (RAG & Multi‑Agent Systems), High‑Performance Data Architectures, and Enterprise Cloud Engineering.

What You'll Do

High‑Performance Data & Search Architecture

• Enterprise Log & Search Analytics: Architect, configure, and maintain the ELK Stack (Elasticsearch, Logstash, Kibana) to ingest, parse, index, and visualize massive multi‑source data streams, enabling real‑time observability and sub‑second semantic/lexical search.
• PostgreSQL Optimization: Act as the subject matter expert for the relational database layer. Write complex queries, stored procedures, functions, and triggers. Diagnose bottlenecks, execute query optimization, index tuning, and oversee database backup, recovery, and archiving strategies.

AI Engineering & Agentic Systems

• Autonomous Agents & Tool Integration: Design, productize, and mature task‑oriented AI agents and multi‑agent orchestrations that execute complex, deterministic workflows rather than simple conversational chat completions.
• Production RAG Architectures: Build and optimize end‑to‑end Retrieval‑Augmented Generation (RAG) pipelines using advanced chunking, metadata tagging, hybrid search, and re‑ranking strategies over massive structured and unstructured datasets.
• Model Evaluation & Frameworks: Deploy and monitor Large Language Models (LLMs) and Large Multimodal Models (LMMs) for text, image, audio, and video analytics. Productize solutions using enterprise‑grade frameworks (e.g., LangChain, Langgraph, Semantic Kernel, or custom orchestration runtimes).

Cloud‑Native Deployment & Infrastructure

• Multi‑Cloud Excellence: Design and deploy highly available, secure, and compliant AI workloads across AWS, Azure, and GCP.
• MLOps & Containerization: Enforce strict containerization using Docker and automate pipeline orchestration. Collaborate with DevOps to implement secure, automated CI/CD infrastructures and infrastructure‑as‑code (IaC).

Leadership & Iterative Delivery

• Technical Ownership: Take end‑to‑end ownership of major features and core architecture components, driving technical decisions from concept to production.
• Agile Mentorship: Embrace an iterative, fast‑paced development culture. Mentor junior engineers, conduct robust code reviews, and advocate for engineering best practices.

What We're Looking For

Technical Core

• Python Mastery: 6+ years of professional experience in modern Python development with a strict emphasis on writing clean, maintainable, production‑ready code.
• Data Layer Expertise: 4+ years of deep hands‑on experience with Elasticsearch/ELK Stack (cluster management, pipeline routing, and indexing) and PostgreSQL (advanced query optimization, performance tuning, structural design).
• Generative AI & NLP: 3+ years of experience putting deep learning, NLP, or LLM‑based solutions into enterprise production. Solid understanding of embedding spaces, vector databases, and agentic tool‑calling patterns.
• Cloud & DevOps: Demonstrated proficiency in provisioning and managing resources within AWS, Azure, and GCP. Solid experience with Docker and production‑grade orchestration tools.

Professional & Cognitive

• Problem Solving: Exceptional analytical and critical‑thinking skills; ability to debug highly distributed systems and complex data pipelines.
• Communication: Strong communication skills with the ability to articulate architectural decisions to internal stakeholders and translate complex customer requirements into engineering milestones.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a highly quantitative field.

Preferred & Future‑Forward Skills

• Experience building or deploying high‑performance Computer Vision pipelines (object detection, multi‑object tracking, or multimodal video analytics).
• Familiarity with distributed computing environments such as Apache Spark.
• Exposure to cloud‑native machine learning development suites (such as Azure AI Foundry, AWS SageMaker, or Google Vertex AI) with an emphasis on governance and enterprise security models.
• Passion for tracking the frontier of AI, specifically moving from standard LLM prompts to fully autonomous, self‑correcting agent architectures.

Office Details

• Office Timing: 1pm to 9pm IST
• Office Location: Manyata Tech Park, Bangalore, India
• Work Model: Office/Hybrid

The Perks

• Flexible working opportunities
• In‑house knowledge and product training
• Exposure to global broadcast and media platforms
• Performance‑related bonuses
• Insurance and medical plans
• Employee‑friendly leave policy

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