📢 Hiring: AI/ML Engineer
We are looking for a hands-on AI/ML Engineer with strong experience in Machine Learning, Feature Engineering, ML Algorithms, Python, and Production ML Pipelines. The ideal candidate should have experience building, deploying, and maintaining scalable ML solutions in production environments.
🔹 Key Responsibilities:
• Design, develop, and deploy production-grade Machine Learning models
• Build end-to-end ML pipelines for training, deployment, and monitoring
• Develop feature engineering workflows and optimize data pipelines
• Translate business problems into scalable ML solutions
• Work with structured and unstructured datasets (text, images, tabular)
• Build predictive analytics, clustering, and classification models
• Deploy ML solutions on Azure, AWS, or GCP
• Collaborate with engineering teams to integrate ML models into enterprise applications
• Optimize model performance and lifecycle management
• Support cloud-based AI/ML and MLOps initiatives
✅ Required Skills:
• 3–7 years of Machine Learning / AI experience
• Strong Python programming
• NumPy
• Pandas (DataFrames)
• Scikit-learn
• PyTorch or TensorFlow or Keras
• Feature Engineering
• Machine Learning Algorithms
• Predictive Analytics
• Classification & Regression Models
• Clustering Algorithms
• Neural Networks (FFNN)
• LSTM / Deep Learning
• SQL
• Data Pipelines
• ML Deployment Pipelines
• Model Lifecycle Management
• Experience deploying ML models into production
• Experience with structured and unstructured data
⭐ Preferred Skills:
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• NLP
• MLOps
• Databricks
• Snowflake
• Apache Spark
• REST APIs
• Streaming Data
• Optimization Algorithms
• Agentic AI
• Azure, AWS, or GCP
