Machine Learning Engineer

Overview

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