Senior Data Science Engineer, India

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

Benefits offered by this job

Flexible working opportunities

In-house training

Exposure to global platforms

Performance-related bonuses

Insurance and medical plans

Employee-friendly leave policy

Job summary

Evertz Microsystems Limited is looking for a Senior Data Science Engineer to lead the development of intelligent systems. A visionary in AI and data architectures, you will design cloud solutions and optimize data pipelines.

Your expertise in Python, AWS, and data optimization will be crucial in shaping our next-gen products. Join a collaborative team in Manyata Tech Park, Bangalore, and enjoy flexible working opportunities and performance-related bonuses.

Qualifications

• 6+ years in modern Python development, emphasizing clean, maintainable code.
• 4+ years with Elasticsearch/ELK Stack and PostgreSQL.
• 3+ years with deep learning, NLP, or LLM in production.
• Proficient in AWS, Azure, GCP, and Docker.

Responsibilities

• Architect and maintain the ELK Stack for multi-source data streams.
• Optimize PostgreSQL queries and database management.
• Build and optimize end-to-end RAG pipelines.
• Design secure AI workloads across multiple clouds.
• Mentor junior engineers and advocate for best practices.

Skills

Python Mastery

Data Layer Expertise

Generative AI & NLP

Cloud & DevOps

Problem Solving

Communication

Education

Bachelor's or Master's degree in Computer Science

Tools

Elasticsearch

PostgreSQL

Docker

Job description

We are seeking a visionary and execution-focused Senior Data Science Enginee r 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. You will own the optimization of our transactional and search layers (ELK & PostgreSQL), build resilient orchestration pipelines, and deploy secure, hybrid-cloud solutions across AWS, Azure, and GCP.

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

About Evertz Microsystems (TSX: ET)

Evertz India is the subsidiary of Evertz Microsystems (TSX:ET) a global leader in broadcast technology, delivering cutting-edge hardware and software solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets) worldwide. Trusted by major broadcast facilities, telcos, and satellite providers on every continent, we’re known for end-to-end innovation that sets the industry standard.
Canadian-headquartered with offices around the world, Evertz has 2,000+ employees and has been recognized as one of Canada’s 50 Best Managed Companies — a testament to our commitment to excellence and global impact. Join a team where your work shapes the future of broadcast and new media industries.

Artificial intelligence (AI) technology may be used in our recruitment process to assist with resume screening and interview note-taking. All hiring decisions are made by our team without AI involvement.

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

Your Growth

At Evertz, your career is a path to growth and achievement, not just a job. We encourage you to seize opportunities, push boundaries, and pursue your goals.
We offer a hybrid/remote model that balances flexibility and collaboration, driving innovation through diversity, adaptability, and strong connections. You’ll join an inclusive, dynamic team that values creativity and fresh ideas.
Culture is central at Evertz we welcome diverse, passionate talent ready to shape the future.