Key Responsibilities:
- Develop and maintain responsive and dynamic web applications using Angular and Angular Material.
- Build and manage serverless APIs using Node.js (AWS Lambda / Serverless Framework).
- Write clean, reusable, and maintainable TypeScript and JavaScript code.
- Design and optimize MySQL queries, stored procedures, and database structures.
- Manage CI/CD pipelines using Jenkins and version control using Bitbucket.
- Ensure UI/UX consistency, cross-browser compatibility, and responsive design.
- Communicate effectively and contribute proactively to team discussions and project improvements.
- Track and manage work using Jira, ensuring timely delivery and clear progress updates.
Required Skills:
- Frontend: Angular (v15+), Angular Material, HTML, CSS, SCSS, TypeScript , Tailwind CSS
- Backend: Node.js (Serverless Framework preferred), REST API development
- Database: MySQL
- DevOps/Tools: Jenkins (CI/CD), Bitbucket (Git), Jira (task management)
Soft Skills:
- Excellent communication — must be able to communicate clearly with clients.
- Highly dedicated, sincere, and responsible.
- Strong analytical and problem-solving abilities.
- Capable of working independently with minimal supervision
Good to Have:
- Experience with AWS services (Lambda, S3, API Gateway, CloudWatch)
- Familiarity with Agile methodologies
5 to 8 years exp.
Communication should be excellent.
Job Summary:
We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems.
Key Responsibilities:
- Develop and maintain machine learning models using Python.
- Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements).
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Preprocess, clean, and transform data for training and evaluation.
- Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch.
- Write modular, efficient, and testable code.
- Document processes, models, and experiments clearly for team use and future reference.
- Stay updated with the latest trends and advancements in AI and machine learning.
Required Skills:
- 2–3 years of hands-on experience with Python programming.
- Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning).
- Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn.
- Exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch.
- Good understanding of data structures and algorithms.
- Experience with model evaluation techniques and performance metrics.
- Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus.
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field.
- Experience with deploying ML models using Flask, FastAPI, or Docker.
- Knowledge of MLOps and model lifecycle management is an advantage.
- Understanding of NLP or Computer Vision is a plus.
