Job Location: Bangalore
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
As Senior Machine Learning Engineer, you will directly influence the way we develop and deploy our machine learning projects. We drive machine learning projects in R&D, production, supply chain, marketing and sales, generating a huge impact across the business. We are looking for engineers to own and drive the deployment of these projects bringing in new ideas in all areas of software engineering.
As the machine learning engineer, you will have the chance to work on a number of key projects across different businesses and have an immediate impact on the company and our customers. You will be able to develop and grow, working with different teams and technologies on a daily basis. We need our engineers to be enthusiastic about solving new problems as we continue to push the envelope on our machine learning projects.
Here we hire curious people from diverse backgrounds who are ready to make an impact. We hire people who like to learn, share and grow as part of an exceptional team.
Basic Qualifications
- MS or PhD or any Engineering degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- 5+ years of relevant work experience in software development
- Experience with one or more general purpose programming languages, preferably Python
Additional Experience with one or more of the following
- Deployment on cloud platforms (AWS, GCP, Azure)
- Working with deep learning libraries (Tensorflow, Caffe, Keras, etc.)
- Deploying Containers (Docker, etc.)
- Working with and optimizing for GPU-based High-Performance Environments
Responsibilities
- Drive the deployment of machine learning applications
- Develop and maintain solutions for real-world problems with significant impact
- Establish best practices around deployment for the broader team
What we offer:With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!
Curious?Apply and find more information at https://jobs.vibrantm.com
Job Requisition ID: 241146
Location: Bangalore
Career Level: D – Professional (4-9 years)
Working time model:
Careers during Covid-19
Thank you for visiting our careers website, we are always looking for curious minds to join our teams. We understand how much the world is being impacted by the Covid-19 crisis and we want to assure you that your safety is very important to us. To ensure that everyone’s health is protected, instead of a standard face-to-face interview, it is likely that you will be offered alternative digital interview options.
US employees must be fully vaccinated against COVID-19 prior to your start date unless an accommodation is granted by the Company. The Company uses the definition of “fully vaccinated” assigned by the Centers for Disease Control & Prevention for purposes of considering satisfaction of this requirement which is a condition of employment.
North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our Candidate Services team at 844-655-6466 from 8:00am to 5:30pm ET Monday through Friday. If you are a resident of a Connecticut or Colorado, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request. You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.
Notice on Fraudulent Job Offers
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