2 SENIOR ENGINEER JOBS IN MUMBAI

As a Senior Engineer at our company, you'll play a crucial role in driving the success of our projects. Your responsibilities will include collaborating with our expert team and Quality Assurance Engineers, delivering high-quality code, and adhering to engineering best practices. Let's dive into the details of how you'll contribute to our mission of technological excellence and innovation:

• Contribute to an expert team of Quality Assurance Engineers.
• Deliver high quality code.
• Adhere to engineering best principles and practices.
• Build to match project specifications and requirements, including reaching unit test coverage targets.
• Collaborate with other members of the team to ensure clear communication and make deliverables achievable.
• Ensure any required documentation you are asked to provide is complete and accurate.
• Follow specific policies regarding the project’s technical requirements.

Key Skills:

• Experience of developing and supporting web-sites, web-applications and middleware components/services using .NET (including version 8) (minimum 5 years).
• Experience building with Blazor.
• Bootstrap CSS (with Sass).
• Experience integrating with Azure API Management, Active Directory, and App Insights. .
• (Ideally) Experience with SonarCloud and Snyk.
• Committed to software quality, documentation and hitting deadlines.

Key Personal Skills:

• Strong analytical skills
• Solid communication (verbal and written) and interpersonal skills
• Proactive problem solver
• Keen attention to detail

Professional Qualifications:

• Minimum 5 years of software engineering using Microsoft technologies (ASP.NET)

Skills:- .NET, Blazor, Windows Azure, ASP.NET, Bootstrap, HTML/CSS and SASS

The position is for an experienced computer vision engineer for conceptualization, implementation, and documentation of algorithms for vision applications on unmanned aerial systems· Develop high-quality, scalable code for the solutions within expected timelines and budget· Collaborate with cross-functional teams internally and build systems to solve real-world problems.· Write specification documents for imaging and video cores· Deal with architecture trade-offs: image quality vs. performance vs. power and area SKILLS· Model properties of the camera and other sensor combinations, their calibrations, and processing elements define the architecture of a sensor pre-processing pipeline.· Hands-on experience in developing computer vision applications.· Must have worked in Optics and imaging systems.· Hands-on industry experience in developing real-time computer vision solutions in C/C++, C#· Sound mathematical approach and good understanding of linear algebra, calculus and probability theory· Experience in Multi-disciplinary System engineering of Data science/QA/algorithms evaluation.· Synthesizing physics concepts for the design of system specifications.· Determine SWHW partitioning (hard-wired accelerators vs. programmable parts)· Convert simulated algorithms to implementable HW variants e.g. conversion from floating point to fixed point representations· Close collaboration with the groups developing system software and SoCs DESIRED PROFESSIONAL KNOWLEDGE: The candidate is expected to be strong in ANY of the following fields mentioned below: 1. Image processing and analysis:a. Spatial and frequency domain filteringb. Multi-resolution image processingc. Colour spacesd. Morphologye. Image segmentation techniques 2. Single-view and multiple-view geometry:a. Camera calibrationb. Projective geometryc. Feature detection and descriptiond. Optical Flowe. Visual SLAMf. Object tracking 3. Machine learning for clustering and predictions:a. Image/video segmentationb. Multi-class object detectionc. Anomaly detectiond. Activity recognitione. Neural nets / CNNf. Select appropriate datasets and data representation methodsg. Extend existing ML libraries and frameworks 4. Validation and Testinga. System level featuresb. Experience in Algorithm evaluation and validation processes.c. Validation Machine Learning based algorithms.d. Strong QA/QC methodology skills.e. Perform statistical analysis and fine-tuning using test resultsf. Train and retrain ML systems when necessary DESIRED BEHAVIOURAL VALUES:· Attention to details· Passionate and self-motivated· Willingness to accept challenges· Respect different points of view