Senior Machine Learning Engineer Job in
- Stantec
- 5 to 9 Yrs
- Other Maharashtra
- 3 days ago
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Job Description
- Were active members of the communities we serve. Thats why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary. The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us! Your Opportunity Stantec Digital Solutions is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on Digital Engineering transformation. We apply predictive technology to large volumes of data to solve a wide spectrum of problems. Stantec Digital Solutions works together with internal & external customers to address their business needs with Artificial Intelligence (AI) solutions. Digital Solutions has an opening for the position of Senior Machine Learning Engineer in the Pune, India office. The selected candidate will help solve problems and derive business value through the application of Machine Learning (ML) to engineering and science problems. The position calls for using massive amounts of disparate data to develop ML models. This person will get to work closely with a global innovation team and solve problems across different geographies. If youre eager to apply ML to a diverse array of enterprise Architectural, Environmental and Physical Engineering use cases, this is likely the position for you. Your Key Responsibilities Model Development and Deployment: Design, develop, and deploy machine learning models for computer vision, geospatial analyses, and LLM chatbots. Data Pipeline Management: Collect, preprocess, and analyze large datasets from diverse sources, including satellite imagery, geospatial data, and textual data. Performance Monitoring and Optimization: Monitor the performance of deployed models and implement improvements to enhance accuracy, efficiency, and scalability. Troubleshooting: Troubleshoot and resolve issues related to model performance, data drift, and software. Collaboration and Communication: Collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into existing systems. Research and Innovation: Stay up-to-date with the latest advancements in machine learning, computer vision, geospatial analysis, and natural language processing Qualifications Education: Bachelors degree in a quantitative field Experience: 5 years experience working on projects involving or directly adjacent to machine learning Cloud Computing: Proven experience with Cloud Platforms like Azure, AWS, or GCP. Programming Languages: Strong proficiency in Python & SQL. ML Algorithms: Experience with deep learning techniques and architectures (e.g., CNNs, RNNs, Transformers). Primary Location: India | Pune Organization: Stantec IN Business Unit Employee Status: Regular Job Level: Entry Level Travel: No Schedule: Full time Job Posting: 16/07/2024 03:07:23 Req ID: hidden_mobile,
Employement Category:
Employement Type: Full timeIndustry: Engineering / Construction
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Senior Machine Learning Engineer Job in
Contact Details:
Company: StantecLocation(s): Other Maharashtra
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Keyskills: Machine Learning Computer Vision Python SQL Deep Learning Transformers Cloud Computing Azure AWS GCP
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Stantec
About the Company: Visit us at www.stantec.com, or find us on social media.We always design with the community in mind. The Stantec community unites approximately 26,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries...
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