We are looking for a skilled and passionate AI/ML Engineer to join our team and contribute to designing, developing, and deploying scalable machine learning models and AI solutions. The ideal candidate will have hands-on experience with data preprocessing, model building, evaluation, and deployment, with a strong foundation in mathematics, statistics, and software development.

Key Responsibilities

Design and implement machine learning models to solve business problems.
Collect, preprocess, and analyze large datasets from various sources.
Build, test, and optimize models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Deploy ML models using cloud services (AWS, Azure, GCP) or edge platforms.
Collaborate with data engineers, data scientists, and product teams.
Monitor model performance and retrain models as necessary.
Stay up to date with the latest research and advancements in AI/ML.
Create documentation and reports to communicate findings and model Skills & Qualifications :
Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, or related field.
2+ years of hands-on experience in building and deploying ML models.
Proficiency in Python (preferred), R, or similar languages.
Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost.
Strong grasp of statistics, probability, and algorithms.
Familiarity with data engineering tools (e.g., Pandas, Spark, SQL).
Experience in model deployment (Docker, Flask, FastAPI, MLflow, etc.).
Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, GCP AI Platform).

(ref:hirist.tech)

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