Artificial Intelligence/Machine Learning Engineer

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 :

- 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.