Role: Data Scientist
Experience: 3-4 Years
Location: Hyderabad (Hybrid)
Tezo is seeking a highly motivated Data Scientist / AI Engineer with 3–4 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
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Collaborate with stakeholders to understand business challenges and translate them into data science problems.
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Design, develop, and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.).
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Preprocess, clean, and analyze large structured and unstructured datasets.
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Deploy ML models into production environments using MLOps practices.
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Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions.
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Conduct experiments, perform model validation, and optimize performance.
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Develop dashboards and visualizations to communicate insights to business teams.
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Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance.
 
Required Skills
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Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.
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3–4 years of hands-on experience in data science and AI projects.
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Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
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Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling.
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Experience with SQL and data manipulation.
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Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines).
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Experience working with cloud platforms (AWS, Azure, GCP).
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Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
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Experience with large language models (LLMs) and generative AI.