Job Title: AI/ML Data Analyst Location: Hyderabad, India Experience: 3-6 years Employment Type: Full-time Working Style: Hybrid(2 days WFO) Notice Period: Immediate to 15 Days(only) 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 JS, Python, SQL, and data scraping 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 scraping 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: Bachelors or Masters 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, Scrapy, 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.. Interested candidates can mail the resume to swayam@conversehr.com
