****** 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