Machine Learning Architect
Pall India Pvt Ltd
Bengaluru / Bangalore, INDIA
2d ago
source : TimesJobs

Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide.

Our world class brands are leaders in some of the most demanding and attractive industries, including life sciences, medical diagnostics, dental, environmental and applied solutions.

Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage.

We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200 PERCENT over 25 years.

At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries.

Were innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here youll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders.

Come join our winning team. Danaher is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.

Danaher Digital Danaher Digital is our digital innovation, incubation and acceleration center where were bringing together the leading strategic product and business leaders, technologists and data scientists for the common purpose of accelerating development and commercialization of disruptive and transformative digital solutions into the marketplace.

We accelerate Danahers digital innovation journey by partnering with Danaher operating companies to develop and commercialize emerging and disruptive digital technologies such as AI, Machine Learning (ML), Big Data, IoT, Augmented Reality (AR), Cloud (SaaS / PaaS) and other Digital frontiers.

If you are driven to forge new disruptive and transformative digital apps, platforms and services by working with such cool and emerging technologies, you belong in Danaher Digital.

As a member of Danaher Digital, you will help identify new product ideas and operating models, and then design, develop and deliver them.

Working together with our operating companies, you will also help foster and support an entrepreneurial culture that will push Danaher to launch new software and data products better, and faster.

To learn more about Danaher Digital and our team, please visit www.danaherdigital.com or visit www.linkedin.com / company / danaher-digital / about.

Position Description This position reports to Head of Data & Analytics and is responsible to drive and guide the Danaher Digital Data & Analytics Team to architect highly scalable Machine Learning(ML) frameworks as part of our Data & Analytics Platform.

You will be working cross-functionally with the Data Scientists, Data Engineers, Software application developers and business groups and lead the architecture, design and development of innovative ML Platform for Danahers Machine Learning(ML) and Deep Learning(DL) solutions for life Sciences, medical diagnostics, industrial and other markets.

You will use your deep technical experience in working with technologies related to ML and DL frameworks and use this knowledge to implement best practices in ML / DL implementation.

Responsibilities Drive the system architecture and design decisions of Danaher Digitals ML / DL infrastructure, for both cloud and on-premise environments Work with our stakeholders from Operating Companies (OPCOs) to understand their business needs and translate those needs in to a design solutions using ML / DL.

You will be hands-on in creating architectural prototypes and design implementation to demonstrate your vision in ML / DL solutions and lead the way from concept to realization.

Own and drive contemporary best practices in applying and deploying data science at scale. As a trusted leader and hands-on architect, you will share recommendations around best practices, cost trade-offs, security, performance and reliability in bringing ML / DL models to production.

Collaborate with Data Scientists, Data Engineers, ML Engineers and Platform developers across the organization in an Agile environment in crafting and implementing your technical vision.

Thought Leadership Evangelize and drive best practices in ML / DL development life cycle, production deployment and governance through continuous written and verbal communication.

Drive architecture standards and recommendation within DHRD and with business partners Enjoy working in a collaborative team with data scientists, software leads, Product Owners / Product Managers from other business units and / or customers, to develop high-value solutions for our most complex data-based challenges.

Requirements 8 years of commercial or open source product and / or platform development experience, preferably in large scale cloud computing and / or distributed systems environments.

5 years of experience in public cloud environments such as AWS or Azure and at least 3 years of experience in services in these environments related to ML / DL.

  • 5 years of programming in large scale production systems, in languages such as Python, Java, Scala or C . 4 years of experience in architecting and deploying and operating ML / DL models (ML Ops) in production in cloud and edge environments;
  • Experience in designing scalable data pipelines and use of open source tools in design, deployment and management of robust data pipelines.

  • 3 of experience in modern AI / ML model governance practices Experience with one or more of the following technologies Machine Learning and Deep Learning toolkits such as TensorFlow, PyTorch or equivalent;
  • Advanced experience in Big Data technologies Kafka, Apache Spark, Hadoop Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).

    Experience with one or more Container-ecosystem (Docker, Kubernetes) Excellent written and verbal communication skills and team player attitude.

    Bachelors in Computer Science or related fields

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