Machine Learning Engineer

Job Summary: We are seeking an experienced and motivated Machine Learning Engineer with 3-5 years of experience in designing, developing, and deploying machine learning models. The ideal candidate must be well-versed in Python, SQL/MySQL, ML libraries, and cloud deployment using Google Cloud Platform (GCP). This role is ideal for candidates passionate about solving real-world problems using AI and ML technologies. Key Responsibilities: Build, train, evaluate, and deploy scalable machine learning models. Perform data preprocessing, feature engineering, and pipeline development. Design end-to-end ML workflows from model development to deployment on GCP. Leverage GCP tools such as Vertex AI, BigQuery, Cloud Functions, AI Platform, etc. Work with SQL/MySQL databases for data extraction and manipulation. Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders. Monitor and optimize deployed models for performance and accuracy. Ensure model reproducibility, versioning, and documentation. Required Skills: Strong proficiency in Python and popular ML libraries (scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, Pandas, NumPy). Experience with SQL and MySQL. Solid understanding of ML algorithms and data handling techniques. Hands-on experience with GCP services: Vertex AI BigQuery Cloud Storage AI Platform Cloud Functions Experience in model deployment using Flask, FastAPI, or similar frameworks. Proficient in data visualization using Matplotlib, Seaborn, or similar tools. Familiarity with Git, CI/CD, and Agile practices. Preferred Qualifications: GCP Certification (e.g., Professional Machine Learning Engineer or Data Engineer). Experience with ML Ops tools. Exposure to Docker and Kubernetes. Familiarity with Big Data tools like Apache Spark or Hadoop. Perks & Benefits: 5-day working week Competitive salary and performance-based incentives Learning & development opportunities Dynamic and growth-driven work environment Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per month Schedule: Day shift Work Location: In person