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)