AI/ML Engineer

Job Description

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. The ideal candidate should have strong foundations in machine learning algorithms , Python programming , and experience with model development , data pipelines , and production deployment in cloud or on-prem environments. Key Responsibilities Design and implement machine learning models and AI solutions for business use cases Build and optimize data preprocessing pipelines for training and inference Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models Collaborate with data engineers, product teams, and software developers Deploy ML models into production using APIs, Docker, or cloud-native tools Monitor model performance and retrain/update models as needed Document model architectures, experiments, and performance metrics Research and stay updated on new AI/ML trends and tools Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc.) Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch Solid understanding of machine learning algorithms, data structures, and statistics Experience with NLP, computer vision, or time series analysis is a plus Familiarity with tools like Jupyter, MLflow, or Weights & Biases Understanding of Docker, Git, and RESTful APIs Experience with cloud platforms such as AWS, GCP, or Azure Strong problem-solving and communication skills Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring) Familiarity with big data tools (Spark, Hadoop) Knowledge of FastAPI, Flask, or Streamlit for ML API development Understanding of transformer models (e.g., BERT, GPT) or LLM integration  Education Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus