AI/ML Engineer Job at IntraEdge, San Francisco, CA

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  • IntraEdge
  • San Francisco, CA

Job Description

****** THIS JOB OPPORTUNITY IS FOR INDIA******

Job Title : AI/ML Engineer

Experience : 4 to 7 Years

Location : Chennai (Hybrid/On-site)

Employment 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

  • Bachelor’s or Master’s 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

Job Tags

Full time, Immediate start,

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