<p><b>About the Role : </b><br/><br/>We are seeking highly experienced Senior Machine Learning Engineers to join our AI team.
Candidates should have 4+ years of experience building and deploying production-grade ML models.
You will be responsible for end-to-end ML solutions, data-driven projects, and creating scalable, high-performance AI systems.<br/><br/><b>Key Responsibilities : </b></p><p><br/></p><p>- Design, develop, and deploy machine learning and deep learning models.<br/><br/>- Conduct advanced data preprocessing, feature engineering, and model evaluation.<br/><br/>- Implement optimization techniques for algorithm performance and scalability.<br/><br/>- Work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras for model development.<br/><br/>- Build interactive dashboards using Streamlit, Plotly, and other visualization tools.<br/><br/>- Collaborate with cross-functional teams including data engineering, product, and software development.<br/><br/>- Research and implement state-of-the-art ML/AI algorithms.<br/><br/>- Deploy models using FastAPI, Flask, Docker, or Kubernetes.<br/><br/>- Monitor and maintain production models for performance and reliability.<br/><br/><b>Required Skills & Expertise : </b><br/><br/>- Programming Languages : Python (NumPy, Pandas, Matplotlib, Seaborn, etc.), SQL.<br/><br/>- Machine Learning : Supervised & unsupervised learning, regression, classification, clustering, recommendation systems, ensemble methods, Scikit-learn.<br/><br/>- Deep Learning : CNNs, RNNs, LSTMs, GRUs, Transformers, attention mechanisms, TensorFlow, PyTorch, Keras.<br/><br/>- Natural Language Processing (NLP) : Text preprocessing, embeddings, transformers (BERT, GPT), sentiment analysis, NER.<br/><br/>- Computer Vision : Image classification, object detection, segmentation.<br/><br/>- Time Series Analysis : Forecasting using ARIMA, Prophet, LSTM, RNN.<br/><br/>- Algorithms & Data Structures : Strong foundation in algorithm design, complexity analysis, probability, statistics, and optimization.<br/><br/>- MLOps / Deployment : FastAPI/Flask, Docker, Kubernetes, CI/CD pipelines, cloud deployment (AWS/GCP/Azure).<br/><br/>- Data Management : SQL, NoSQL, ETL pipelines, big data frameworks (Spark, Hadoop).<br/><br/>- Visualization & Reporting : Streamlit, Plotly, Matplotlib, Seaborn, interactive dashboards.</p> (ref:hirist.tech)