Senior Data Science Engineer, India - Evertz Microsystems Limited

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: 4+ years of professional experience in modern Python development with a strict emphasis on writing clean, maintainable, production-ready code.
• Data Layer Expertise: 2+ 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: 2+ 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.

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.

Join us on this journey. Apply now!

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.

Please note, this email address will only respond to requests regarding privacy concerns. This inbox will not respond to job applications, resumes, or questions regarding an application. When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing [email protected]. Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at [email protected]. Your personal data will be processed for the purposes of managing Controller’s and its' subsidiaries' and affiliates' recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

A complete privacy policy can be found at https://evertz.com/contact/privacy/

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.