Full-Time
Lead Machine Learning Operations Engineer
Signify
10,001+ employees
Global lighting company delivering connected illumination
No salary listed
Bengaluru, Karnataka, India
In Person
Bachelor's, Master's
 AI & Machine Learning (1) |
|---|
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- A Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is required.
- At least 5 years of relevant experience is required.
- Strong experience designing and deploying production-grade machine learning and Generative AI solutions, including large language model applications, retrieval-augmented generation, agents, prompt engineering, and evaluation frameworks.
- Hands-on experience with Amazon Web Services services including Amazon Bedrock, SageMaker, S3, Lambda, Step Functions, EventBridge, API Gateway, ECS/Fargate, ECR, EC2, SQS/SNS, CloudWatch, IAM, and security services.
- Strong experience with Snowflake, including SQL, Snowpark Python, external stages with S3, storage integrations, tasks, stored procedures, and performance optimization.
- Experience building scalable backend systems using REST APIs with FastAPI or Flask and designing service-oriented architectures.
- Experience building AI-enabled applications using Streamlit and/or ReactJS and deploying them on AWS infrastructure.
- Strong knowledge of Docker and container-based deployments, with working experience with Kubernetes concepts or AWS ECS/Fargate.
- Experience with continuous integration and continuous delivery, model deployment pipelines, monitoring, versioning, and production support for machine learning and Generative AI systems.
- Experience with large-scale data processing using Spark, Hadoop, or NoSQL and with building scalable data pipelines.
- Strong proficiency in Python and SQL.
- Proven ability to lead complex AI initiatives, mentor teams, influence stakeholders, and deliver scalable, business-impacting solutions.
- Design and lead end-to-end architecture for AI, machine learning, and Generative AI solutions, including retrieval-augmented generation, agent-based workflows, and predictive analytics systems.
- Architect and implement solutions using Amazon Web Services services including Amazon Bedrock, SageMaker, S3, Lambda, Step Functions, EventBridge, API Gateway, ECS/Fargate, ECR, EC2, SQS/SNS, CloudWatch, IAM, and Secrets Manager.
- Design and manage Snowflake-based data architectures, including integration with AWS S3, external stages, Snowpark Python, curated data layers, and governed data access for AI and Generative AI workloads.
- Lead development of modular, scalable microservices for AI systems, including data services, model inference services, agent orchestration services, and user-interface and backend APIs.
- Drive development and deployment of AI-powered dashboards, copilots, and conversational user interfaces using Streamlit and ReactJS, hosted on AWS.
- Establish containerization standards using Docker and deploy services using Kubernetes or ECS/Fargate to ensure scalability, portability, and reliability.
- Design and implement multi-agent architectures involving planning, reasoning, summarization, retrieval, and orchestration agents, including workflows, guardrails, and human-in-the-loop mechanisms.
- Define and govern continuous integration and continuous delivery pipelines, model lifecycle management, prompt and version control, monitoring, drift detection, and production support processes.
- Ensure production systems meet service-level agreements for performance, availability, and accuracy through observability, logging, and proactive optimization.
- Implement secure design patterns including identity and access management, encryption, API security, data governance, and responsible artificial intelligence practices.
- Lead cross-functional teams, review architectures and implementations, and present solutions, trade-offs, and recommendations to senior leadership.
- Drive adoption of emerging technologies in Generative AI, MLOps, and distributed systems and establish reusable frameworks and enterprise standards.
- Preferred certifications include AWS Machine Learning Specialty, AWS Solutions Architect, and Kubernetes certifications.
- Exposure to Snowflake Cortex capabilities is a plus.
- Familiarity with Java, Scala, and open-source machine learning frameworks.
Signify uses lighting as an interconnected system for homes, businesses, and cities, with products like Hue, WiZ, professional fixtures, and horticultural lighting. Its systems run on IoT-enabled devices and software that control, monitor, and automate lighting via apps, hubs, and building-management integrations. The company distinguishes itself through a long history, a large consumer and professional ecosystem, and a broad product range from street lighting to indoor and agricultural lighting, plus growth through strategic acquisitions. Its goal is to unlock the potential of light to improve everyday life and support sustainability at scale.
Company Size
10,001+
Company Stage
IPO
Headquarters
Eindhoven, Netherlands
Founded
2016
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Simplify's Take
What believers are saying
- June 2026 Hue bulbs gained concurrent Zigbee and Matter support through Silicon Labs.
- Sports Live launched in 2026, expanding Hue into event-driven entertainment software.
- Signify’s Q1 2026 free cash flow rose to €47 million despite restructuring costs.
What critics are saying
- Q1 2026 comparable sales fell 5.1%, showing demand weakness across every segment.
- January 2026 restructuring cuts 900 roles, signaling a slower, more fragile cost structure.
- Cheap LED competitors and portfolio review pressure Signify’s core business into commoditized hardware.
What makes Signify unique
- Philips Hue reached 171 million connected light points in Q1 2026.
- Signify’s 2026 patent verdict against Lepro strengthens its EnabLED licensing moat.
- Cooper Lighting and WiZ give Signify scale across professional, consumer, and smart-home channels.
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Benefits
Professional Development Budget
Employee Discounts
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 2%2 year growth
↑ 2%The Asia-Pacific lighting fixtures market has surpassed $58 billion in production value, according to a new CSIL report. China leads regional production, followed by Japan and India, with exports accounting for approximately half of total output. Key market drivers include urbanisation, energy-efficiency mandates, and growing adoption of smart LED systems. Havells India reported revenue growth of 18.9% to ₹6,572 crore, whilst Beacon Lighting Group achieved record half-year sales of A$176.3 million. The 244-page study analyses residential, professional, and outdoor lighting applications across 13 regional markets. It includes historical data from 2019 to 2024 and forecasts through 2027. North America remains the primary export destination. Vietnam has emerged as the region's second-largest lighting fixtures exporter. Major manufacturers including Signify, Opple Lighting, and Panasonic Lighting continue expanding smart lighting capabilities as LED technology adoption nears completion.
Signify and Silicon Labs have announced a collaboration to bring concurrent multiprotocol communications to select Philips Hue smart bulbs, enabling support for both Zigbee and Matter over Thread simultaneously on a single device. The new Philips Hue bulbs leverage Silicon Labs' MG26 and SiMG301 wireless SoCs to deliver greater flexibility whilst maintaining advanced features like dynamic scenes, entertainment synchronisation and automation capabilities. The technology allows consumers to integrate bulbs into leading smart home ecosystems for everyday controls whilst accessing premium Hue-specific functionality. Select Philips Hue smart bulbs using the Silicon Labs technology are available now or being introduced across product lines. Whilst products currently require choosing Zigbee or Thread at commissioning, a software update enabling concurrent operation will launch later this year.
Signify has launched Sports Live, new software for its Philips Hue and Philips Smart Lighting systems that uses live match data to trigger real-time lighting effects during football matches. The system responds to key moments such as goals and cards, synchronising home lighting with on-pitch action. The software connects to a live sports data API and adjusts for broadcast delays. During quieter periods, lights display team colours or warm white when scores are tied. Setup takes minutes through the Philips Hue or WiZ app, with no additional hardware required. Sports Live begins rolling out in May, with full release in June 2026 ahead of Championship 2026. The system complements existing entertainment features like Hue Sync and works across single rooms or entire home zones.
Signify NV reported a challenging first quarter for 2026, with comparable sales declining 5.1% amid softer demand and manufacturing overcapacity. Net income fell sharply to €8 million from €67 million in the prior year, impacted by restructuring costs. The company maintained a gross margin of 40.6% through disciplined pricing and cost management, whilst generating €47 million in free cash flow, up from €40 million previously. Working capital improved to 6.2% of sales from 7.2%. Sales declined across all business segments, with Professional down 3.7%, Consumer down 4.6%, and Conventional falling 17.9%. However, emerging markets including China and India showed growth, and the Consumer business experienced strong sell-out despite retail inventory adjustments. Adjusted EBITDA reached €83 million, representing 6.5% operational profitability.
Signify, the world leader in lighting, repurchased 126,776 shares between 23 and 27 February 2026 at an average price of €20.11 per share, totalling €2.5 million. The buyback forms part of a programme announced on 13 February 2026. The company will use the shares to cover obligations from its long-term incentive performance share plan and other employee share schemes. To date, Signify has repurchased 266,276 shares under this programme for a total consideration of €5.3 million. Signify, listed on Euronext as LIGHT, reported sales of €5.8 billion in 2025 and employs approximately 27,000 people across over 70 markets.