Walk-in || AI/ML, Generative AI with Python expertise

Job description

**Job Title: AI/ML Engineer** **Experience:** 4-6 Years **Location:** Bhubaneswar **Role Summary** We are looking for a skilled AI/ML Engineer with 3 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The role involves working on real-world data problems, contributing to model development, and enabling end-to-end ML pipelines aligned with business use cases. **Key Responsibilities** - Design, develop, and deploy machine learning models for business applications - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) - Build and optimize supervised and unsupervised learning models - Develop scalable ML pipelines and integrate them into production systems - Evaluate model performance and fine-tune using appropriate metrics - Work with large datasets using Python-based frameworks - Collaborate with data engineers, product teams, and stakeholders to deliver AI solutions - Document models, experiments, and ensure reproducibility - Stay updated on new ML techniques and AI advancements **Technical Skills Mandatory** - Strong programming skills in **Python** - Hands-on experience with ML libraries: **Scikit-learn, TensorFlow, PyTorch** - Knowledge of **data handling libraries**: Pandas, NumPy - Understanding of **ML algorithms**: - Regression, Classification - Clustering - Decision Trees, Random Forest, Gradient Boosting - Experience in **data preprocessing & feature engineering** - Knowledge of **model evaluation techniques (precision, recall, F1, ROC-AUC, etc.)** - Experience with **SQL / database querying** - Basic understanding of **model deployment concepts (APIs, Flask/FastAPI)** **Technical Skills – Preferred** - Exposure to **Deep Learning / NLP / Computer Vision** use cases - Experience with **cloud platforms (AWS / Azure / GCP)** - Familiarity with **MLOps tools (Docker, CI/CD pipelines, MLflow, Kubeflow)** - Knowledge of **big data frameworks (Spark)** - Experience in **REST API integrations**