Senior Machine Learning Engineer - Python

Forward Eye Technologies; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Forward Eye Technologies seeks an experienced machine learning engineer to take ownership of end-to-end ML solutions in the geospatial domain. You will work with image, point cloud, geophysical data within GIS contexts and align outcomes with customer needs and company objectives.

You will collaborate with development teams, integrate ML outputs into GIS systems, build data preprocessing pipelines, and contribute to knowledge sharing.

Qualifications

• 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 ML specs.
• Strong background in algorithm development, model training, and deployment; GIS data is a plus.
• Expertise in Python and ML frameworks (TensorFlow, PyTorch).
• Solid understanding of image analysis and point cloud processing.
• Excellent analytical and problem-solving skills with data-driven decisions.
• Effective verbal and written communication; can convey complex concepts clearly.
• Ability to work with cross-functional teams including development, design, marketing.
• Comfortable in fast-paced environments, adaptable to changing priorities.

Responsibilities

• End-to-End ML Solutions: Take ownership of developing ML solutions within geospatial GIS context.
• Technical Collaboration: Translate geospatial requirements into technical specifications for product integration.
• GIS Integration: Work with GIS experts to integrate ML into GIS systems and tools.
• Data Preprocessing: Develop pipelines for geospatial data quality and normalization.
• Collaboration and Knowledge Transfer: Share insights with GIS and remote sensing teams.
• Continuous Learning: Stay updated on ML and GIS advancements through training and self-learning.
• Documentation and Reporting: Document progress, methodologies, and outcomes for future reference.

Skills

Deep neural networks

Point cloud data

Computer vision

CNNs

DSA in Python

Tools

Python

TensorFlow

PyTorch

Job description

Joining

Immediate

Key Responsibilities

• 1. 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.
• 2. Technical Collaboration: Collaborate closely with development teams, translating geospatial requirements into technical specifications for seamless integration with the product.
• 3. GIS Integration: Work collaboratively with GIS experts to integrate machine learning solutions into GIS systems, gradually gaining proficiency in GIS tools and libraries.
• 4. Data Preprocessing: Develop and refine preprocessing pipelines for geospatial data, ensuring data quality and normalization.
• 5. Collaboration and Knowledge Transfer: Collaborate with GIS and remote sensing experts, leveraging their knowledge and gradually acquiring expertise in the GIS domain.
• 6. Continuous Learning: Stay updated on the latest advancements in machine learning and GIS technology, actively participating in training programs and self-directed learning.
• 7. Documentation and Reporting: Document progress, methodologies, and outcomes for knowledge transfer and future reference.

Requirements

• 1. 3+ years of hands-on experience in machine learning engineering or related technical roles.
• 2. Proven ability to engage with technical teams, translating geospatial requirements into machine learning specifications.
• 3. Strong background in algorithm development, model training, and deployment. Experience with GIS-related data is a plus.
• 4. Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• 5. Solid understanding of image analysis, and point cloud processing.
• 6. Excellent analytical and problem-solving skills, with a data-driven decision-making approach.
• 7. Effective verbal and written communication skills, capable of conveying complex technical concepts clearly.
• 8. Demonstrated ability to work collaboratively with cross-functional teams, including development, design, and marketing.
• 9. Comfortable working in a fast-paced environment, adaptable to changing technical priorities and requirements.

The below skills are mandatory :- Deep neural Networks- DSA in python- Point Cloud Data- Computer Vision- CNN's