Senior Machine Learning Engineer - Python

Forward Eye Technologies; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Forward Eye Technologies in Pune, India invites a Senior Machine Learning Engineer to own end-to-end ML solutions in geospatial contexts. You will work with image, point cloud, geophysical and geological data, and collaborate with GIS experts to deploy integrated models.

The role demands 3–5 years of hands-on ML experience, strong Python and ML framework skills (TensorFlow, PyTorch), and excellent communication as you coordinate with cross-functional teams in a fast-paced environment.

Qualifications

• 3+ years hands-on experience in ML engineering or related technical roles.
• Ability to translate geospatial requirements into ML specifications.
• Strong background in algorithm development, model training and deployment; GIS experience preferred.
• Expertise in Python and ML frameworks (TensorFlow, PyTorch).
• Solid understanding of image analysis and point cloud processing.
• Excellent analytical and problem-solving skills with a data-driven approach.
• Effective verbal and written communication and cross-functional collaboration.
• Comfortable in a fast-paced environment with changing priorities.

Responsibilities

• End-to-End ML solutions ownership in geospatial domain, focusing on image, point cloud, geophysical and geological data.
• Collaborate with development teams to translate geospatial requirements into technical specifications.
• Work with GIS experts to integrate ML solutions into GIS systems and tools.
• Develop preprocessing pipelines for geospatial data ensuring quality and normalization.
• Collaborate with GIS and remote sensing experts for knowledge transfer in GIS domain.
• Stay updated on ML and GIS advancements; participate in training and self-learning.
• Document progress, methodologies and outcomes for knowledge transfer and future reference.

Skills

Communication skills

Analytical thinking

Tools

Python

TensorFlow

PyTorch

Job description

Job Title : Senior Machine Learning Engineer

Experience : 3 - 5 years

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.