Job Title: Senior Machine Learning Engineer
Experience: 3 - 5 years
Expected Joining: Immediate
Location: Bengaluru, Karnataka
Opportunity Type: Fulltime Contract to hire
Must Haves -
Graduation from Tier 1 college
DSA in python
Deep neural Networks
Point Cloud Data
Computer Vision
CNN’s
Key Responsibilities:
End-to-End ML Solutions: Take full ownership of developing end-to-end machine
learning solutions within the geospatial domain, focusing on image data, point cloud
data, geophysical data, geological data, and related datasets, within the GIS context
and ensuring alignment with customer needs and company objectives.
Technical Collaboration: Collaborate closely with development teams, translating
geospatial requirements into technical specifications for seamless integration with
the product.
GIS Integration: Work collaboratively with GIS experts to integrate machine learning
solutions into GIS systems, gradually gaining proficiency in GIS tools and libraries.
Data Preprocessing: Develop and refine preprocessing pipelines for geospatial data,
ensuring data quality and normalization.
Collaboration and Knowledge Transfer: Collaborate with GIS and remote sensing
experts, leveraging their knowledge and gradually acquiring expertise in the GIS
domain.
Continuous Learning: Stay updated on the latest advancements in machine learning
and GIS technology, actively participating in training programs and self-directed
learning.
Documentation and Reporting: Document progress, methodologies, and outcomes
for knowledge transfer and future reference.
Requirements:
3+ years of hands-on experience in machine learning engineering or related technical
roles.
Proven ability to engage with technical teams, translating geospatial requirements
into machine learning specifications.
Strong background in algorithm development, model training, and deployment.
Experience with GIS-related data is a plus.
Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of image analysis, and point cloud processing.
Excellent analytical and problem-solving skills, with a data-driven decision-making
approach.
Effective verbal and written communication skills, capable of conveying complex
technical concepts clearly.
Demonstrated ability to work collaboratively with cross-functional teams, including
development, design, and marketing.
Comfortable working in a fast-paced environment, adaptable to changing technical
priorities and requirements.
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