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Artificial Intelligence / Machine Learning Engineer

Artificial Intelligence / Machine Learning Engineer

Intraedge Technologies Ltd.Chennai
30+ days ago
Job description

Job Title : AI / ML Engineer

Experience : 4 to 7 Years

Location : Chennai Type : Full-time

Notice Period : Immediate to 30 days preferred

Job Summary :

We are seeking a highly skilled and motivated AI / ML Engineer to join our growing team in Chennai.

The ideal candidate will have strong experience in building and deploying machine learning models and working with large datasets in real-world production environments.

You should be comfortable collaborating with data scientists, data engineers, and software developers.

Key Responsibilities :

  • Design, develop, and deploy scalable and efficient machine learning models and AI solutions.
  • Perform data wrangling, preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Train and evaluate models using state-of-the-art ML / DL algorithms.
  • Collaborate with product and engineering teams to integrate models into applications.
  • Optimize and tune models for performance and accuracy.
  • Conduct A / B testing and model validation techniques.
  • Stay updated with the latest research and advancements in AI / ML technologies.
  • Document workflows, experiments, and models for reproducibility and auditability.
  • Participate in code reviews, architecture discussions, and sprint planning.

Mandatory Skills :

Machine Learning & Deep Learning :

  • Supervised, unsupervised, and reinforcement learning techniques.
  • Model evaluation and selection methods.
  • Hyperparameter tuning techniques (e.g., Grid Search, Bayesian optimization).
  • Familiarity with model explainability tools (e.g., SHAP, LIME).
  • Programming Languages :

  • Python (advanced proficiency must-have).
  • Experience in writing modular, scalable, and clean code.
  • Familiar with object-oriented programming.
  • ML / DL Frameworks & Libraries :

  • Scikit-learn, TensorFlow, PyTorch, Keras.
  • XGBoost, LightGBM.
  • Pandas, NumPy, Matplotlib, Seaborn.
  • Data Engineering & MLOps (Good to have) :

  • ETL Pipelines, Airflow, MLflow, DVC.
  • Model packaging and deployment using Docker, Flask / FastAPI.
  • CI / CD pipelines for ML models.
  • Cloud-based ML deployment (AWS Sagemaker, GCP AI Platform, Azure ML).
  • Data Handling & Querying :

  • Strong knowledge in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Data preprocessing, cleaning, and transformation techniques.
  • Working with structured and unstructured data (text, images, audio).
  • NLP / Computer Vision (Nice to have) :

  • Knowledge in NLP libraries like spaCy, NLTK, Transformers (HuggingFace).
  • Experience with OpenCV, YOLO, CNNs for image-based tasks.
  • Educational Qualification :

  • Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Relevant certifications in AI / ML are a plus (e.g., Google AI, Microsoft AI Engineer Associate, etc.)
  • Soft Skills :

  • Excellent communication and presentation skills.
  • Strong problem-solving and critical-thinking abilities.
  • Ability to work independently and within a team.
  • Adaptability and eagerness to learn emerging technologies.
  • (ref : hirist.tech)

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