ai/ml engineer in bengaluru / bangalore

randstad india
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bengaluru / bangalore
Information Technology
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randstad india

job description

ai/ml engineer in bengaluru / bangalore

Danaher Corporation
Danaher is a global science and technology innovator with more than 59,000 associates committed to helping our customers solve complex challenges and improve quality of life around the world. Our world class brands have unparalleled leadership positions in some of the most demanding and attractive industries and our technologies address a broad range of societal needs:
·         Protecting the global water supply and ensuring environmental stewardship
·         Protecting the world's food supply and verifying pharmaceutical dosages and authenticity
·         Leading scientific research and advancing patient health with the highest diagnostic confidence
·         Improving dental outcomes and promoting access to comfortable patient care around the world

Danaher generates over $18 billion USD of annual revenue from five business segments: Life Sciences, Diagnostics, Dental, Water Quality, and Product Identification.
For additional company details, see
Danaher Digital
Danaher Digital is our digital innovation and acceleration center where we’re 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 Danaher’s digital innovation journey by partnering with Danaher operating companies (OPCOs) to monetize and commercialize the potential of emerging digital trends.
Located in Silicon Valley, the heart of global innovation, Danaher Digital is ideally situated to capitalize on the digital mega trends transforming our world, including IoT, Data, AI, cloud, mobile, Augmented Reality (AR), Blockchain and other Digital frontiers.
Position Description
This position reports to Head of Data & Analytics and is responsible to help the Danaher Digital data science team develop, design and integrate mathematical models into production. You will be working cross-functionally with the Data Scientists, Software application developers and business groups and lead the development of innovative ML models for Danaher’s big data from health sciences, medical diagnostics, industrial and other markets.  You will use your Agile experience to work collaboratively with other Product Managers/Owners in geographically distributed teams.
·         Primarily responsible for productionizing pipelines/models and integrating them against our back-end services
·         Drive the system architecture and design decisions for Danaher Digital’s machine learning infrastructure, for both cloud and on-premise environments
·         Design, develop, determine test strategy, test, and maintain key software improvements related to machine learning capabilities at Danaher Digital.
·         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.
·         Own and drive contemporary best practices in applying and deploying data science at scale.
·         8+ years of commercial or open source product development experience, preferably in large scale cloud computing and/or distributed systems environments.
·         Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
·         Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
·         5+ years of programming in large scale production systems, in languages such as Python, Java, Scala or C++.
·         Experience with one or more Container-ecosystem (Docker, Kubernetes)
·         Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
·         Good communication skills and team player attitude.
·         Bachelors in Computer Science or related fields

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Java, Python, C++, Docker, Kubernetes, Scala, pytorch, keras, tensorflow


B.E/B.Tech, MCA, MS/M.Sc(Science)