Data Scientist

2 weeks ago

Hyderabad, Telangana, India Tezo Full time ₹ 1,04,000 - ₹ 13,08,780 per year

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

  • 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.
  • 3–4 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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