Senior Data Analyst Engineer - Bengaluru, India - CareerXperts Consulting

Description

Passionate Python Powerhouse Sought: Leverage your 5-8 years of software engineering expertise to drive AI/ML innovation at our fast-paced startup. Bring your mastery of NLP, RAG models, and data architecture to build cutting-edge solutions that transform the way we do business.

The Role :

Data Profiling:

• · Develop and maintain classification, device profiling with data analytics and data cleanup and feature engineering.
• · Utilize AI/ML techniques to enhance the profile library. Collaborate with a consulting team to build the profile library.

Data Collection and Feature Engineering

• Gather additional data from customers to assist in classification. Crawl the internet for information on manufacturers, devices, and their make/model/modality. Collect data through probes for classification purposes.
• Perform feature engineering from sparse matrix data.
• Use Deep Packet Inspection to identify useful data for classification and Implement network packet parsers for data extraction.
• Build and enhance tools for device classification and analysis.
• Design and engineer features from raw data to improve model performance and interpretability.

Data Analytics

• Identify and rectify anomalies in large datasets using domain knowledge and data profiling techniques.
• Collaborate with cross-functional teams to understand data requirements and ensure data quality.
• Work with software engineers to deploy machine learning models into production environments.
• Ensure seamless integration of models with existing data infrastructure and applications.
• Monitor model performance in real-time and implement necessary updates or improvements.

You Have :

• Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
• Proven experience in deep packet inspection and data processing in a large-scale data environment.
• Software Engineer with 5-8 years of experience
• Proficient in writing Python and familiar with the AI/ML tech stack, including knowledge of NLP and RAG models
• Strong knowledge of SQL, NoSQL and Graph databases.
• Hands-on experience with data manipulation libraries/tools such as Pandas, NumPy, and SQL.
• Proficiency in programming languages such as Python for data analysis and modelling.
• Experience with data visualization tools for exploratory data analysis and model interpretation.
• Excellent problem-solving skills and the ability to work independently as well as with a team of consultants.
• Strong communication skills with the ability to effectively convey technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services.

Write to to get connected #HighBarOfEntry