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3 days ago

Hyderabad, India Tezo Full time

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Role: Data Scientist Experience: 1-4 Years Location: Hyderabad (Hybrid) Tezo is seeking a highly motivated Data Scientist / AI Engineer with 1–4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI. Why Join Our AI/ML Practice? Purpose-driven: Work on projects that create meaningful impact for clients. Collaborative: Learn and contribute in a team that values sharing ideas and teamwork. Continuous Growth: Get mentorship, hands-on training, and exposure to cutting-edge tools. Accountable & Trusted: Take ownership of your learning and contribute to team outcomes. Key Responsibilities - Collaborate with stakeholders to understand business challenges and translate them into data science problems. - Design, develop, and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.). - Preprocess, clean, and analyze large structured and unstructured datasets. - Deploy ML models into production environments using MLOps practices. - Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions. - Conduct experiments, perform model validation, and optimize performance. - Develop dashboards and visualizations to communicate insights to business teams. - Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance. Required Skills - Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field. - 1–4 years of hands-on experience in data science and AI projects. - Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. - Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling. - Experience with SQL and data manipulation. - Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines). - Experience working with cloud platforms (AWS, Azure, GCP). - Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. - Experience with large language models (LLMs) and generative AI.

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