Senior Data Science Engineer, India
At a glance
Senior Data Science role at Evertz Microsystems. Bangalore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune ELK search and logging systems for incoming data, live monitoring and fast semantic or keyword retrieval
- Improve PostgreSQL performance through query and index tuning, database design, and backup and recovery planning
- Create production RAG pipelines and coordinated AI agents that handle defined, multi-step workflows across varied data
- Deploy and monitor language and multimodal models, then run AI workloads securely across AWS, Azure and GCP
- Own features from design through release, mentor junior engineers and review code
What you bring
- At least four years of professional Python development, with a track record of production-ready code
- At least two years working hands-on with Elasticsearch or ELK and PostgreSQL, including performance tuning
- At least two years delivering deep learning, NLP or LLM solutions in enterprise production
- Practical cloud provisioning across AWS, Azure and GCP, plus Docker and production orchestration experience
- A bachelor's or master's degree in computer science, data science, engineering or a quantitative discipline
Who this fits
This senior role suits an engineer who can take architectural work from early design to production and mentor junior colleagues. The job is based in Manyata Tech Park, Bangalore, with an office or hybrid work model and hours from 1pm to 9pm IST.
From the employer
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.
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