As a Lead Data Scientist at DeepQuanty Artificial Intelligence Labs, you will be a key member of a dynamic team in the cutting-edge space of Artificial Intelligence and Machine Learning. With 3-8 years of experience as a lead in the Computer Vision area, your expertise will be pivotal in driving innovation and solving complex problems using Deep Learning techniques. Your role will involve collaborating closely with the Product Manager to translate product requirements into actionable plans. You will play a crucial part in product blueprint discussions and create detailed Product Technical specifications. Additionally, you will lead a team of Deep Learning Engineers, guiding them towards effective research and development outcomes. The ideal candidate for this position will have a proven track record in leveraging Deep Learning techniques to tackle challenges in Images and Text domains. You should possess the ability to identify and evaluate the most suitable algorithms for specific problems, as well as translate mathematical concepts into practical technical specifications. Proficiency in TensorFlow, PyTorch, and optimization of Deep Learning models for production deployment is essential. A solid understanding of GPUs/TPUs, along with hands-on coding expertise in Python and C++, is required. While a B.Tech / M.Tech from a reputed university is mandatory, it would be advantageous to have experience in solving Optical Character Recognition problems and familiarity with Computer Vision packages like OpenCV. This position offers a unique opportunity to work in a startup environment, where your expertise in computer vision, machine learning, robotics, and control systems will be put to the test in solving challenging product development tasks. Your role will be highly visible within our rapidly growing company, with opportunities for assuming greater responsibilities as you excel in your performance. If you are a detail-oriented individual with a passion for innovation, we invite you to join our team at DeepQuanty AI Labs.,
As a Business Development Lead at DeepQuanty Artificial Intelligence Labs, you play a crucial role in understanding client needs and identifying opportunities to leverage DQAI Labs products and services across various industries like BFSI, Retail, Internet, Telecom, and Education. Your responsibilities include creating promotional materials, delivering presentations, reaching out to potential clients through different channels, nurturing relationships with decision-makers, and ensuring successful project delivery. Your primary objective is to generate client awareness, build business relationships, develop business transformation propositions, identify and close sales opportunities, and collaborate closely with delivery functions to meet client requirements. Your role requires a proven track record in sales, a passion for achieving targets, proficiency in using technology tools like CRM systems, lead generation skills, industry expertise, negotiation abilities, and a deep understanding of the marketing and sales outsourcing landscape. To excel in this role, you must possess exceptional interpersonal skills, time management abilities, and a collaborative mindset to work effectively as part of a cross-functional team. If you thrive on challenges, enjoy building and nurturing relationships, and are driven by achieving sales targets, this opportunity at DeepQuanty AI Labs is tailor-made for you.,
DeepQuanty Artificial Intelligence Labs is a leading product startup specializing in Artificial Intelligence and Machine Learning, with a focus on Computer Vision solutions. With a strong presence in the BFSI industries, the company is dedicated to expanding its innovative products across various sectors. The founders bring a collective experience of over 75 years in analytics and technological product development, drawing from their successful ventures at MarketsOf1 Analytical Marketing Services Pvt. Ltd. and Pranion Technology Ventures. As a Lead in Computer Vision, you should possess 3-8 years of hands-on experience in utilizing Computer Vision and Machine Learning algorithms to address challenges related to documents and 2-D images. Proficiency in OpenCV is essential, along with a solid grasp of object segmentation, object identification, and preprocessing techniques using OpenCV. Strong coding skills in Python and C++ are required, in addition to holding a B.Tech / M.Tech degree from a reputable university. Moreover, familiarity with Optical Character Recognition problem-solving and knowledge of Deep Learning techniques such as CNN, RNN, and Reinforcement Learning will be advantageous. Experience with tools like Tensorflow and PyTorch is a plus. Your responsibilities will include collaborating closely with the Product Manager to translate product requirements into actionable plans, actively engaging in product blueprint discussions, and overseeing a team of computer vision engineers. This role offers a unique opportunity to leverage your expertise in computer vision, machine learning, robotics, and control systems to tackle stimulating product development challenges in a dynamic startup environment. As part of our rapidly growing company, we seek detail-oriented professionals who can contribute to our innovative projects with creativity and cross-functional skills. The position promises high visibility and potential for increased responsibilities as the company continues to grow.,
Role Overview: As a Computer Vision Engineer at DeepQuanty Artificial Intelligence Labs, you will have the opportunity to work in a startup environment and apply your cross-functional skill-sets, creativity, and experience in computer vision, machine learning, robotics, and control systems to solve exciting product development challenges. This role offers high visibility within the fast-growing company, with the expectation of assuming increased responsibilities over time. Key Responsibilities: - Utilize your 4+ years of experience as a software developer to contribute to the development of AI and machine learning solutions. - Apply your minimum 2 years of experience in AI/Machine Learning and minimum 1 year of experience in Deep Learning to drive innovation in computer vision projects. - Collaborate with the team to implement machine learning models in computer vision using frameworks such as OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Demonstrate proficiency in Python programming and work with Flask/Django/Tornado frameworks. - Leverage your expertise in working with Development Environment on Linux to enhance product development processes. Qualifications Required: - Bachelor's or Master's Degree in Computer Science or a related field. - Strong background in Machine Learning in Computer Vision. - Hands-on experience with frameworks like OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Proficiency in Python programming. - Experience working with Flask/Django/Tornado frameworks. - Familiarity with Development Environment on Linux. (Note: The additional details of the company were not included in the job description provided),
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