7 - 10 Years 1 Opening Bangalore Chennai Kochi Trivandrum Role description We are seeking a Machine Learning Engineer with solid data analytics skills to help drive business value through intelligent data-driven solutions The ideal candidate will be proficient in analyzing large datasets developing scalable machine learning models tailored to business use cases and deploying them using AWS cloud infrastructure A strong understanding of when to apply traditional ML models versus Large Language Models LLMs is essential Key Responsibilities Analyze high-volume complex datasets to identify trends patterns and business opportunities Design develop and deploy ML models and LLMs to solve real-world business problems Evaluate and select between LLMs and traditional ML models based on use case fit Build and optimize data pipelines for feature engineering and model training Deploy models into production using AWS services such as SageMaker Lambda EC2 and S3 Monitor and maintain model performance including retraining and scalability improvements Communicate data insights and model results to both technical and non-technical stakeholders Collaborate closely with data engineers analysts product managers and domain experts Mandatory Skills Machine Learning Model development training tuning and evaluation using standard ML algorithms e g regression classification clustering LLM vs ML Selection Ability to choose between LLMs and traditional ML approaches based on use cases Programming Proficiency in Python and ML libraries such as scikit-learn Pandas NumPy TensorFlow or PyTorch Cloud Deployment AWS Experience with AWS SageMaker Lambda EC2 and S3 for scalable model deployment Data Analysis Expertise in exploratory data analysis EDA statistical analysis and working with large datasets SQL Strong command of SQL for querying and manipulating structured data Model Monitoring Automation Experience in deploying monitoring and automating ML pipelines in production Communication Ability to translate complex ML solutions into business-friendly language Good to Have Skills LLM Tools Experience with frameworks like Hugging Face Transformers or similar Data Pipeline Optimization Familiarity with feature engineering best practices and ETL workflows CI CD for ML Exposure to MLOps practices and tools e g MLflow Airflow or Kubeflow Domain Knowledge Understanding of how ML solutions can drive business metrics in domains such as finance marketing or operations Visualization Proficiency in using visualization tools like Matplotlib Seaborn or Plotly Skills Data Analysis Machine Learning Aws Sql About UST UST is a global digital transformation solutions provider For more than 20 years UST has worked side by side with the world s best companies to make a real impact through transformation Powered by technology inspired by people and led by purpose UST partners with their clients from design to operation With deep domain expertise and a future-proof philosophy UST embeds innovation and agility into their clients organizations With over 30 000 employees in 30 countries UST builds for boundless impact touching billions of lives in the process

📌 Lead I - Data Science (Tamil Nadu)
🏢 UST
📍 Tamil Nadu