Job Description for the Role of Business Analyst Apply About the Role: We are seeking a proactive and innovative Business Analyst with 2-4 years of experience to join our growing team. The ideal candidate combines strong analytical skills with the ability to think outside the box offering fresh perspectives to solve business challenges and drive product and process innovation. Experience in AI/ML, static websites, or eCommerce platforms is a strong plus. Key Responsibilities: Engage with stakeholders to understand business needs, pain points, and opportunities. Analyze current workflows, identify inefficiencies, and propose creative, data-driven solutions. Translate business requirements into clear, actionable documentation and user stories. Work closely with development, design, and product teams to deliver effective digital solutions. Conduct market, competitor, and customer research to identify growth opportunities. Contribute to ideation sessions, pilot initiatives, and product discovery workshops. Support testing, validation, and feedback loops to ensure alignment with business goals. Present insights, findings, and recommendations to both technical and non-technical audiences. Required Skills & Qualifications:

We are seeking a highly experienced and motivated Senior Data Science Engineer - Computer Vision Specialist with 9-12 years of relevant experience to join our advanced analytics team. This individual will take a leadership role in building and optimizing visual intelligence solutions with a primary focus on Face Recognition and Automatic Number Plate Recognition (ANPR) , while also contributing to broader data analytics initiatives including client collaboration and third-party data management. Key Responsibilities: Lead the design, development, and deployment of advanced computer vision systems, including face recognition, ANPR, and real-time video/image analytics. Architect scalable, high-performance data pipelines to manage large-scale image and video datasets. Guide model experimentation, development, and optimization using deep learning frameworks such as TensorFlow, PyTorch, and Nvidia Deepstream. Provide technical mentorship to junior team members and review solution architectures. Collaborate with cross-functional teams to integrate computer vision capabilities into enterprise platforms and edge devices like Nvidia Jetson. Ensure end-to-end quality and performance of deployed models in production environments. Conduct applied research to identify and implement state-of-the-art vision technologies. Drive model explainability, documentation, and stakeholder reporting. Client Collaboration: Lead data discovery sessions with clients to understand their business needs, identify data sources, and define data strategies. Work closely with stakeholders to align analytics solutions with organizational goals. Data Transformation and Governance: Perform data extraction, transformation, and loading ( ETL ) using tools like Python, SQL, and cloud platforms. Enable and facilitate discussions around data governance, ensuring compliance, quality, and security standards. Third-Party Data Management: Integrate, analyze, and manage third-party datasets relevant to the oil and gas industry, ensuring seamless integration with client systems. Analytics and Market Intelligence: Conduct advanced analytics to deliver actionable insights for market intelligence, operational efficiency, and strategic decision-making. Required Skills and Qualifications: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, or a related field. 9–12 years of experience in data science, machine learning, and computer vision. Expertise in Python and machine learning libraries such as OpenCV, TensorFlow, PyTorch. Proven experience in developing face recognition and ANPR systems, ideally with Nvidia Deepstream and Jetson platforms. In-depth knowledge of computer vision concepts including object detection, OCR, and image segmentation. Strong background in ETL processes, data governance, and database querying using SQL. Familiarity with cloud ML platforms like AWS SageMaker, GCP AI, or Azure ML. Hands-on experience with Git, Docker, and CI/CD pipelines. Excellent communication skills and experience presenting technical content to non-technical stakeholders. Preferred Qualifications: Experience with OCR and integration with vision systems. Exposure to real-time video analytics and multi-camera environments. Contributions to open-source projects or published research in computer vision or AI. Understanding of data privacy, ethical AI practices, and secure handling of visual data.