Data Scientist

About Company : GSPANN is a US California Bay Area-based consulting services provider focused on implementations in Enterprise Content Management, Business Intelligence & Mobile Solution initiatives. More than 90% of our current clientele are FORTUNE 1000 organizations. We specialize in strategy, architecture, delivery and support of solutions in the ECM, BI and Mobility space Role: Data Scientist Experience: 4 to 6 Yrs Location: Hyd, Pune, Gurgaon Job Summary: We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers... to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning, with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. Responsibilities: Drive the end-to-end development and deployment of machine learning models, from data collection and preprocessing to model training and evaluation, leveraging cloud-based infrastructure and services. Collaborate with cross-functional teams to understand business requirements and translate them into data science projects that deliver tangible value. Develop and implement advanced algorithms and models for computer vision, NLP, and generative AI, using techniques such as deep learning, reinforcement learning, and natural language understanding, while leveraging cloud-based machine learning platforms. Conduct thorough exploratory data analysis and feature engineering to extract meaningful insights and identify key patterns within complex datasets. Stay up-to-date with the latest advancements in machine learning, computer vision, NLP, generative AI, and cloud technologies, and apply the latest research findings to enhance existing models and algorithms. Evaluate and select appropriate cloud-based tools, frameworks, and services to support data science initiatives, ensuring scalability, reliability, and cost-efficiency. Collaborate with cloud engineering teams to optimize the deployment and management of machine learning models in cloud environments. Communicate complex technical concepts and findings to both technical and non-technical stakeholders through clear and concise presentations and reports. Qualifications: Bachelor's or master's degree in computer science, data science, or a related field. Speciality in Statistics is mandatory, a Ph.D. is a plus. Minimum of 3 years of experience in machine learning, with a focus on computer vision, NLP, generative AI, and cloud technologies. Strong expertise in programming languages such as Python, as well as proficiency in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven experience in developing and implementing machine learning models for computer vision tasks, including object detection, image segmentation, and image classification. Deep understanding of NLP techniques, such as natural language understanding, sentiment analysis, named entity recognition, and text classification. Familiarity with generative AI models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Solid knowledge of deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. Experience working with large-scale datasets and data preprocessing techniques. Proficiency in data visualization and exploratory data analysis. Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex challenges. Experience with at least one cloud platforms such as AWS, Azure, or Google Cloud, including knowledge of cloud-based machine learning services and infrastructure. Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. Why choose GSPANN We GSPANNians are at the heart of the technology that we pioneer. We do not service our customers, we co-create. With the passion to explore solutions to the most challenging business problems, we support and mentor the technologist in everyone who is a part of our team. This translates into innovations that are path-breaking and inspirational for the marquee clients, we co-create a digital future with. GSPANN is a work environment where you are constantly encouraged to sharpen your abilities and shape your growth path, We support you to become the best version of yourself by feeding your curiosity, providing a nurturing environment, and giving ample opportunities to take ownership, experiment, learn and succeed. Were a close-knit family of more than 1400 people that supports one another and celebrates successes, big or small. We work together, socialize together, and actively serve the communities we live in. We invite you to carry forward the baton of innovation in technology with us. At GSPANN, we do not service. We Co-create. Discover your inner technologist - Explore and expand the boundaries of tech innovation without the fear of failure. Accelerate your learning - Shape your career while scripting the future of tech. Seize the ample learning opportunities to grow at a rapid pace Feel included - At GSPANN, everyone is welcome. Age, gender, culture, and nationality do not matter here, what matters is YOU Inspire and Be Inspired - When you work with the experts, you raise your game. At GSPANN, youre in the company of marquee clients and extremely talented colleagues Enjoy Life - We love to celebrate milestones and victories, big or small. Ever so often, we come together as one large GSPANN family Give Back - Together, we serve communities. We take steps, small and large so we can do good for the environment, weaving in sustainability and social change in our endeavors We invite you to carry forward the baton of innovation in technology with us. Lets Co-create,

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