IntraEdge
****** THIS JOB OPPORTUNITY IS FOR INDIA******
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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