Job Description
Key Responsibilities
- Design, develop, and deploy robust and scalable Python applications.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop and maintain efficient and well-structured code.
- Write clean, well-documented, and maintainable code.
- Conduct thorough code reviews and testing to ensure high-quality deliverables.
- Stay up to date with the latest Python technologies and industry trends.
- Mentor junior developers and contribute to team growth.
- Lead and execute data engineering projects, including data ingestion, transformation, and loading.
- Develop and deploy machine learning and AI models to solve real-world problems.
- Collaborate with data scientists to translate research into production-ready solutions.
Required Skills and Experience
- Expertise in GenAI, LLM and integration tools like Mulesoft, Tibco, Boomi
- 6 to 8 Years of strong proficiency in Python programming language and its core libraries (NumPy, Pandas, Scikit-learn).
- Experience with web frameworks (Django, Flask) and RESTful API development.
- Strong understanding of data structures, algorithms, and design patterns.
- Excellent problem-solving and analytical skills.
- Proven track record of delivering successful AI/ML projects.
- Familiarity with data engineering concepts and tools (SQL, ETL processes).
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Experience with machine learning frameworks (TensorFlow, PyTorch) and deep learning techniques would be preferred.
- Hands-on experience with data engineering tools and technologies (Apache Airflow, Spark, Dask) would be preferred.
- Strong communication and teamwork skills