Lead Software Engineer - Embedded & Analytics

Bengaluru, India

Apply now Apply later

Company Description

Every minute of every day, Smiths Detection’s threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. 

Smiths Detection, part of Smiths Group is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security.

Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security.  

This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day.

Job Description

Smiths Detection’s Digital Platform is an innovative global security platform designed to transform the way government agencies and organizations secure and manage their ports, airports, infrastructure and border checkpoints.

It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make informed decisions quickly to protect against any border security threat.

  • Smiths Detection is looking for dynamic, innovative and motivated software architects to be the part of its global platform and applications development team in Technology group.
  • The purpose of this role is to develop, sustain and enhance technical architecture of Smith’s cloud (and on-premise) based Platform and its applications.
  • The position is based in Bangalore.
  • The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and overall business management to deliver successful pursuit outcomes and grow customer engagement, intimacy and our opportunity pipeline.
  • This person uses professional concepts and company objectives to resolve complex issues in creative and effective ways.
  • The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform.
  • He/she applies extensive technical expertise and has full knowledge of other related disciplines.
  • The role requires person to be hands-on software developer.

Responsbilities:

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field
  • Collaborate with engineering and product development teams

Qualifications

  • At least 10 years of experience with 7 years of experience as data scientist using AI/ML/DL algorithms and techniques.
  • Must possess at least a Bachelor’s degree in Electrical/Electronics Engineering and/or Computer Engineering/Science or equivalent. Master degree is preferable.
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R, Matlab
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills. Leveraging and contributing to Open Source projects
  • Knowledge of open source tool chains and technologies
  • Excellent written and verbal communication skills

Additional Information

Join us and we’ll help build your career, with excellent training and opportunities for career growth across the business, both locally and globally. You’ll experience an inclusive environment, with strong leadership and a focus on safety and wellbeing. You’ll also have the flexibility to choose from a wide range of benefits to suit your lifestyle, offering you and your family support from a health and wellbeing, financial and lifestyle perspective.

Join us and work for a world-leader, with the benefits and training to reward your dedication and skills. Be part of a team where we are making the world a safer place.

We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website (Careers - Smiths Group plc)

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: Architecture Engineering Java Keras Machine Learning Mathematics Matlab Open Source Python PyTorch R R&D Research Scikit-learn Security Statistics Testing

Perks/benefits: Career development Health care

Region: Asia/Pacific
Country: India

More jobs like this