Job Description

Experience: 6 - 10 Years

Employment: W2 Only (H1B Transfer / EAD)

We are looking for an experienced AI/ML Engineer with strong expertise in building, deploying, and optimizing machine learning solutions. The ideal candidate will work on end-to-end model development, data processing, and cloud-based ML pipelines.

• Design, develop, and deploy machine learning models and AI solutions.
• Work on data preprocessing, feature engineering, and large-scale data pipelines.
• Build scalable ML workflows using cloud platforms (AWS / Azure / Google Cloud Platform).
• Optimize model performance, accuracy, and latency.
• Collaborate with data engineers, product teams, and stakeholders to define ML requirements.
• Implement MLOps best practices, CI/CD, and monitoring for ML models.
• Work with Python, PySpark, TensorFlow, PyTorch, and other ML frameworks.

• Strong programming skills in Python.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of deep learning, NLP, and predictive modeling.
• Cloud experience (AWS/Azure/Google Cloud Platform) with ML services.
• Experience with data pipelines, Databricks, or Spark (optional but preferred).
• Strong understanding of algorithms, statistics, and model evaluation.

• Experience with LLMs, generative AI, or vector databases.
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).

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