AI/ML Engineer Level I ( 1-3 Years Experience )

About the RoleOur client is looking for a Python + AI/ML Engineer to support the design, development, and deployment of machine learningdriven solutions. This role is ideal for engineers with 23 years of experience who have strong Python fundamentals, hands-on exposure to ML algorithms, and experience working with data-driven models in real-world environments. You will work closely with data scientists, backend engineers, and product teams to build, train, and integrate ML models into scalable applications. Key ResponsibilitiesDevelop, train, and evaluate machine learning models using Python Work with structured datasets using Pandas, NumPy, and Scikit-learn Implement and optimize common ML algorithms (regression, classification, clustering, etc.) Assist in data preprocessing, feature engineering, and model validation Integrate ML models into backend services and applications Build and expose basic APIs for model inference using FastAPI or Flask Collaborate with cross-functional teams to translate business requirements into ML solutions Write clean, maintainable code and participate in debugging and performance optimization Follow best practices around data handling, model versioning, and experimentation Required Technical Skills23 years of hands-on experience with Python Strong understanding of machine learning fundamentals and algorithms Practical experience with Pandas, NumPy, and Scikit-learn Ability to build, train, and evaluate ML models end-to-end Experience working with datasets, data cleaning, and feature engineering Basic understanding of APIs and backend integration Familiarity with Git and standard development workflows Bonus SkillsExperience with FastAPI or Flask for serving ML models Exposure to deep learning frameworks such as TensorFlow or PyTorch Understanding of model deployment concepts and ML pipelines Familiarity with SQL or NoSQL databases Knowledge of cloud platforms (AWS, GCP, or Azure) Experience with experiment tracking tools or model monitoring Who You AreA detail-oriented and analytical engineer with a passion for machine learning and data-driven problem-solving. You are comfortable working with data, eager to improve model performance, and motivated to grow in a fast-paced, AI-focused engineering environment. Why JoinThis role offers the opportunity to work on real-world AI/ML use cases , gain hands-on experience with model development and deployment, and grow your career while contributing to impactful, intelligent systems. LocationBangalore About YMinds.AIYMinds.AI is a premier talent solutions company connecting skilled AI and engineering professionals with global enterprises and innovative technology teams. We specialize in sourcing talent capable of building intelligent, scalable, and future-ready systems. Keywords:Python Engineer, AI Engineer, Machine Learning Engineer, ML Developer, Scikit-learn, Pandas, NumPy, FastAPI, Flask, Data Science, Model Training, Bangalore Jobs Hashtags:#PythonDeveloper #MachineLearningEngineer #AIJobs #MLEngineer #PythonJobs #HiringNow #BangaloreJobs #DataScience #AIIntegration #YMindsAI #JobDescription About the RoleOur client is looking for a Python + AI/ML Engineer to support the design, development, and deployment of machine learningdriven solutions. This role is ideal for engineers with 23 years of experience who have strong Python fundamentals, hands-on exposure to ML algorithms, and experience working with data-driven models in real-world environments. You will work closely with data scientists, backend engineers, and product teams to build, train, and integrate ML models into scalable applications. Key ResponsibilitiesDevelop, train, and evaluate machine learning models using Python Work with structured datasets using Pandas, NumPy, and Scikit-learn Implement and optimize common ML algorithms (regression, classification, clustering, etc.) Assist in data preprocessing, feature engineering, and model validation Integrate ML models into backend services and applications Build and expose basic APIs for model inference using FastAPI or Flask Collaborate with cross-functional teams to translate business requirements into ML solutions Write clean, maintainable code and participate in debugging and performance optimization Follow best practices around data handling, model versioning, and experimentation Required Technical Skills23 years of hands-on experience with Python Strong understanding of machine learning fundamentals and algorithms Practical experience with Pandas, NumPy, and Scikit-learn Ability to build, train, and evaluate ML models end-to-end Experience working with datasets, data cleaning, and feature engineering Basic understanding of APIs and backend integration Familiarity with Git and standard development workflows Bonus SkillsExperience with FastAPI or Flask for serving ML models Exposure to deep learning frameworks such as TensorFlow or PyTorch Understanding of model deployment concepts and ML pipelines Famil