MERNPLUS Technologies - Artificial Intelligence/Machine Learning Engineer - Python

Job Title : AIML Engineer (Artificial Intelligence & Machine Learning)

Location : Bangalore, India

Job Type : Full-Time, On-Site

Experience Required : 5+ Years

Department : Data Science / AI & Machine Learning

Role Overview :

Key Responsibilities :

- Design, develop, and deploy machine learning models and AI solutions for production systems.

- Build and maintain data pipelines for efficient data collection, transformation, and feature engineering.

- Analyze large datasets to extract meaningful insights and support model development.

- Optimize machine learning algorithms for performance, scalability, and accuracy.

- Work with Natural Language Processing (NLP) techniques to build intelligent systems such as chatbots, text classifiers, and recommendation engines.

- Perform data cleaning, preprocessing, and exploratory data analysis using tools such as Pandas and NumPy.

- Collaborate closely with software developers, data engineers, and product managers to integrate ML models into business applications.

- Monitor and maintain deployed models, including retraining and updating as needed.

- Document processes, workflows, and outcomes to support transparency and reproducibility.

- Stay updated with advancements in AI/ML research and apply relevant innovations to improve existing solutions.

Required Skills & Qualifications :

- Strong proficiency in Python, with experience in its major AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, and NumPy.

- Solid foundation in machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and clustering techniques.

- Experience with deep learning techniques, including neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

- Expertise in Natural Language Processing (NLP) concepts, including tokenization, named entity recognition, text classification, language modeling, and sentiment analysis.

- Proven experience in data analysis, data wrangling, and visualization using libraries like Matplotlib, Seaborn, or Plotly.

- Strong knowledge of model evaluation, hyperparameter tuning, and cross-validation techniques.

- Familiarity with model deployment techniques using REST APIs, Flask, FastAPI, or containerization tools like Docker.

- Ability to work with databases and query languages such as SQL, and familiarity with NoSQL databases is a plus.

- Proficient in using version control systems such as Git and collaborative platforms like GitHub or GitLab.

Preferred Qualifications :

- Experience with cloud-based AI/ML platforms like AWS SageMaker, Google AI Platform, or Azure ML.

- Knowledge of MLOps practices, including model versioning, monitoring, and CI/CD pipelines for machine learning.

- Background in computer vision, reinforcement learning, or time-series forecasting is a plus.

- Masters or Bachelors degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.