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Data Scientist Computer vision
Data Scientist Computer visionArtificial Intelligence Global Company • Bengaluru, Karnataka, India
Data Scientist Computer vision

Data Scientist Computer vision

Artificial Intelligence Global Company • Bengaluru, Karnataka, India
2 days ago
Job description

We are seeking a highly experienced and hands-on AI Specialist and Consultant with deep expertise in Computer Vision to lead, architect, and deliver end-to-end solutions across industrial and surveillance domains. The ideal candidate will have a strong technical background in CV tools and frameworks, extensive project delivery experience, and client-facing capabilities for proposal development and solution consulting. Exposure to broader AI domains such as Predictive Analytics, Generative AI, and Agentic AI is a strong advantage.

Roles and Responsibilities

  • Lead the architecture, design, development, and deployment of end-to-end computer vision applications, especially in industrial and CCTV, Drones, Fixed Camera-based scenarios.
  • Translate customer requirements and RFPs into effective technical proposals, solutions, and delivery plans.
  • Define and implement scalable architectures for edge-based and on-premise CV solutions, including integration with CCTV systems.

Ensure production-readiness of applications through robust testing, optimization, and deployment strategies.

  • Lead cross-functional project teams through full lifecycle delivery (requirements, design, development, deployment, and post-production support).
  • Stay updated with the latest advancements in AI / ML, CV, and edge computing.
  • Act as a technical consultant and subject matter expert during client meetings, solutioning workshops, and proposal discussions.
  • Collaborate with pre-sales teams to develop technical responses to RFPs, scope of work, and implementation roadmaps.
  • Support business development activities through thought leadership, PoCs, and demos.
  • Contribute to expanding and sustaining the knowledge base through training and mentoring of peers and subordinates.
  • Establish technical performance benchmark.
  • Support the project team with estimates, schedules, and resource loading.
  • Develop solution architecture and generate draft for design reviews.
  • Help in developing project documentation and client training.
  • Explore and recommend emerging technologies in Generative AI, Predictive Analytics, and Agentic AI that could complement CV applications. (Nice to Have).
  • Should be able to analyze the images for an industrial complex like power plants, power distribution, refineries, petrochemicals, etc.
  • Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications.
  • Should be able to program the application to automate the detection.
  • Should be well-versed in various imaging formats.
  • Assist in the installation and running of product demonstrations.
  • Test and reform algorithms to analyze video images and improve detection sensitivity.
  • Evaluate various state-of-the-art computer vision algorithms and recommend the best fit on a case-to-case basis.
  • Develop and automate applications to support routine inspection through drones.
  • Port, implement, and optimize analytics and machine learning algorithms using special-purpose computing architectures.
  • Support and bug fixing for active applications at client sites.

    • Experience :

    Minimum 12 years of overall industry experience with at least 8 years in AI / ML and Computer Vision.

  • At least 3 full-lifecycle implementations of computer vision projects (from requirement gathering to production deployment).
  • Proven experience in industrial CV applications (e.g., quality inspection, process monitoring) and CCTV-based use cases (e.g., surveillance, anomaly detection).
  • Hands-on deployment of computer vision solutions on edge servers (e.g., NVIDIA Jetson, Intel NUC).

    • Demonstrated experience in technical consulting, RFP responses, proposal writing, and client management.

  • Prior experience in managing and delivering AI / ML projects, including team and timeline management.
  • Experience in the delivery of end-to-end analytical solutions (analyze, design, implement, test, and deploy) and implementation of AI and Advanced Analytics projects for Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries.
  • Experience in leading a team and training young data scientists.
  • Good understanding of the AI ecosystem and capabilities
  • Exposure to data transformation and data structuring as part of model building
  • Building simple yet best-fit solution design or logic design for complex data challenges or industry use cases.
  • Hands-on experience with DevOps & ML Operation tools including version control tools such as GIT.
  • Understanding of information systems security and network architecture
  • Excellent analytical and problem-solving skills
  • Ability to face and interact with clients and deliver technical solutions demonstrations and presentations.
  • Experience in industrial computer vision applications using AI for tasks such as object detection and tracking.
  • Experience working with GIS aerial drone-based and satellite-based data analytics and modeling for anomaly detection is nice to have.
  • Experience in Computer Vision applications for corrosion monitoring of industrial assets and pipes is a plus.
  • Experience in the latest computer vision frameworks for pre-trained models and transfer learning.
  • Experience in industrial automation use cases using computer vision AI.
  • Certification in AI / Data Analytics / Deep Learning is desired.
  • Experience in real-time (e.g., video, CCTV camera streams) video analytics pipeline.
  • Process or Power industry experience is desired.
  • Experience in cloud deployment platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) is nice to have.
  • Good in documentation practices, writing reports, and project protocols.
  • High level of technical aptitude
  • Microsoft Office and technical presentation skills.

    • Technical Skills & Competencies : Computer Vision Tools & Libraries :

  • OpenCV, TensorFlow, PyTorch, YOLO
  • Image and video processing, object detection, segmentation, pose estimation
  • Real-time CV systems, CCTV integration, RTSP stream processing

    • Coding different object detection neural network architectures such as CNN, R-CNN, Fast R-CNN, Faster R-CNN, SSD, and YOLO. Programming & Frameworks :

  • Strong in Python; knowledge of C++ is a plus
  • Familiarity with Edge AI frameworks (NVIDIA DeepStream, TensorRT, OpenVINO) Deployment & Architecture :
  • Edge computing architectures, Docker, Kubernetes, REST APIs
  • Cloud & on-premise hybrid deployment strategies (Azure, AWS, GCP) Other AI Skills (Nice to Have) :
  • Predictive Analytics, Time-Series Forecasting
  • Generative AI (e.g., LLMs, image generation models)
  • Agentic AI and AI pipeline orchestration

    • Soft Skills

  • Strong Communication Skills : Ability to explain complex technical topics to non-technical stakeholders.
  • Customer-Centric Mindset : Adept at understanding business requirements and aligning them with technical solutions.
  • Problem Solving & Critical Thinking : Capable of designing robust and scalable solutions under constraints.
  • Leadership & Mentoring : Ability to lead project teams and mentor junior team members.
  • Collaboration & Teamwork : Works well across teams, functions, and geographies.
  • Time Management : Effectively manages multiple priorities and deadlines in dynamic environments.
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    Data Scientist • Bengaluru, Karnataka, India

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