AI/ML Engineer

We are looking for a talented and motivated AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning models and AI solutions. The ideal candidate has strong experience in data science, machine learning engineering, and a proven track record of delivering production-grade ML models.

Key Responsibilities:

• Design, build, and deploy scalable machine learning models and pipelines.
• Collaborate with data scientists, software engineers, and product teams to deliver AI-powered solutions.
• Preprocess, clean, and analyze large datasets for training and inference.
• Develop APIs and integrate ML models into production systems.
• Monitor and retrain models as needed to ensure performance over time.
• Document experiments, processes, and model performance for reproducibility.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, or Keras.
• Experience in training, validating, and deploying ML models.
• Understanding of ML concepts: classification, regression, clustering, recommendation systems.
• Experience with cloud platforms: AWS (SageMaker), GCP, or Azure.
• Knowledge of Docker, Git, and CI/CD pipelines.

Preferred Skills (Nice to Have):

• Experience with NLP, Computer Vision, or Generative AI.
• Familiarity with MLOps tools: MLflow, Kubeflow, Airflow.
• Experience with large language models (LLMs) and transformers (Hugging Face).
• Exposure to data engineering tools (Spark, Kafka, Snowflake)