The Role
Lead design and production of high-performance data and search architectures (ELK, PostgreSQL), build RAG and multi-agent AI systems, deploy hybrid multi-cloud solutions (AWS/Azure/GCP), containerize and automate MLOps pipelines, mentor engineers, and own end-to-end feature delivery and architecture.
Summary Generated by Built In
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.
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.
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.
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.
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.
Skills Required
- 6+ years professional Python development writing production-ready code
- 4+ years hands-on Elasticsearch/ELK Stack experience including cluster management, pipeline routing, and indexing
- 4+ years advanced PostgreSQL experience including query optimization, indexing, stored procedures, and backup/recovery strategies
- 3+ years deploying deep learning, NLP, or LLM-based solutions into enterprise production
- Solid understanding of embedding spaces and vector databases
- Experience designing and productizing task-oriented autonomous agents and multi-agent orchestrations
- Proficiency provisioning and managing resources across AWS, Azure, and GCP
- Experience with Docker and production-grade orchestration, CI/CD and Infrastructure-as-Code practices
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a quantitative field
- Strong problem-solving, debugging of distributed systems, and communication skills
- Experience with LangChain, Langgraph, Semantic Kernel, or custom orchestration runtimes
- Experience building or deploying high-performance Computer Vision pipelines (object detection, MOT, multimodal video analytics)
- Familiarity with distributed computing such as Apache Spark
- Exposure to cloud-native ML suites (AWS SageMaker, Google Vertex AI, Azure AI Foundry) and enterprise governance/security models
Evertz Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Evertz and has not been reviewed or approved by Evertz.
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Healthcare Strength — Health and medical coverage, including dental and vision, along with employer-funded plans and an Employee Assistance Program with on-site counseling, are part of the package.
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Retirement Support — A pension plan in Canada and a 401(k) with employer contribution in the U.S. are highlighted within the core offering.
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Wellbeing & Lifestyle Benefits — Amenities such as an employee discount platform, recreational activities (e.g., sports teams, ping pong/pool tables), and a casual environment complement standard coverage.
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The Company
What We Do
Evertz Microsystems (TSX:ET) is a leading global manufacturer of broadcast equipment and solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets). Evertz has expertise in delivering complete end-to-end broadcast solutions for all aspects of broadcast production including content creation, content distribution and content delivery. Considered as an innovator by their customers, Evertz delivers cutting edge solutions that are unmatched in the industry in both hardware and software. Evertz delivers products and solutions that can be found in major broadcast facilities on every continent. Evertz’ customer base also includes telcos, satellite, cable TV, and IPTV providers. With over 1700 employees, that include hardware and software engineers, Evertz is one of the leaders in the broadcast industry. Evertz has a global presence with offices located in: Canada, United States, United Kingdom, Germany, United Arab Emirates, India, Hong Kong, China, Singapore, and Australia. Evertz was named one of Canada’s 50 Best Managed Companies, which recognizes excellence in Canadian-owned and Canadian-managed companies. Canada’s 50 Best Managed Companies identifies Canadian corporate success through companies focused on their core vision, creating stakeholder value and excelling in the global economy
