Job Title: AI/ML Data Analyst
Location: Hyderabad India
Experience: 3-6 years
Employment Type: Full-time
Working Style: Hybrid
The Opportunity:
We are seeking a highly skilled AI/ML Data Analyst to develop and deploy machine learning models optimize data pipelines and drive AI-driven innovation. The ideal candidate will have expertise in machine learning artificial intelligence automation and data engineering along with hands-on experience in Node JSPython SQL and data sing along with experience working with structured and unstructured data. This role requires a strong analytical mindset problem-solving abilities and the ability to work with large datasets to drive impactful business solutions.
What You Will Do:
Develop and deploy machine learning models for predictive analytics and automation.
Build and optimize data pipelines using SQL Python to process large datasets efficiently.
Implement data sing techniques to extract and preprocess structured/unstructured data from various sources.
Work on AI-powered automation to streamline internal workflows and enhance data-driven decision-making.
Collaborate with data engineers and product teams to integrate AI/ML solutions into existing systems.
Optimize model performance and ensure scalability for real-world applications.
Stay updated with the latest advancements in AI ML and data engineering.
What You ll Need to Succeed:
Bachelor s or Master s degree in Computer Science Data Science AI/ML or a related field.
3-6 years of relevant experience with a SaaS or IT Product Development company.
Proficiency in Data Analysis leveraging NodeJS and Python including libraries such as TensorFlow PyTorch Pandas and Scikit-learn.
Experience with AI-based Python notebooks such as Databricks Snowflake Hex or Jupyter
Experience with data interrogation techniques using technologies such as GenAI BeautifulSoup Sy or Selenium.
Solid understanding of database technologies (SQL MySQL PostgreSQL etc..
Hands-on experience in building and deploying ML models and based on classification algorithms.
Knowledge of cloud platforms (AWS GCP or Azure) and containerization (Docker Kubernetes) is a plus.
Strong problem-solving skills and ability to work in an agile environment.
Preferred Skills:
Basic knowledge of data warehousing such as Databricks or Snowflake preferred.
Experience in LLMs (Large Language Models) Generative AI or Transformer-based architectures.
Exposure to distributed computing and cloud infrastructure such as Azure AWS or GCP.
Contributions to open-source AI projects research publications or Kaggle competitions.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without notice.
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