Data Scientist

2 weeks ago

Hyderabad Telangana, India tezo Full time

**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**
- 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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