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Data Science Engineer

1 month ago

Hyderabad, Telangana, India Banyan Cloud Full time
About Banyan Cloud
Honest Data technologies Pvt Ltd, a subsidiary of Banyan Cloud, USA, is a Cyber Security Product Company headquartered in San Jose, California. The company owns the SaaS product Banyan Cloud, a CNAP Platform simplifying code-to-cloud security for multi-cloud and on-premises environments.

This is a unique opportunity to be part of our start-up's executive team. We seek candidates who aspire to develop cutting-edge solutions addressing advanced cybersecurity challenges.

Job Summary:
We are hiring a Data Science Engineer to join our development team in Bangalore, empowering next-generation SaaS applications on Hybrid Cloud platforms. The successful candidate will apply innovation and engineering practices to solve real business problems, applying expertise to all aspects of the software development lifecycle. A thirst for learning new technologies and updating skills to meet the needs of our growing business is essential.

Responsibilities:
- Design, implement, and maintain robust data ingestion and extraction pipelines.
- Manage data infrastructure, including data warehouses, data lakes, and cloud platforms.
- Ensure data quality, consistency, and security throughout the data lifecycle.
- Develop and maintain scalable data pipelines using automation tools.
- Implement data governance policies and procedures.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and train machine learning models using appropriate algorithms to complete POCs.
- Evaluate model performance and take POCs to production environments.
- Fine tune and improve Gen AI models to serve business needs.
- Communicate data insights and findings to stakeholders in a clear and concise manner.
- Stay up to date with the latest advancements in data science and machine learning.
- Collaborate with cross-functional teams to assess data science use cases and understand data and analytics requirements.
- Ensure assigned deliverables are completed end-to-end.

Requirements:
- Bachelor/Master's degree from a top-tier institute, ideally in a quantitative discipline (Engineering, Computer Science, Data Science, Economics, Mathematics or similar field).
- 2-4 years of experience in a data science or data engineering team.
- Strong understanding of Machine learning fundamentals.
- Familiarity with regression, decision trees, random forests, and XG boost algorithms.
- Experience with prompt engineering, LLM fine tuning, and embedding data into vector databases to develop and improve RAG models.
- Experience working with cloud platforms such as AWS and Azure.
- Excellent planning and execution skills with proven ability to drive results.
- Strong interpersonal and communication skills, adept at working with multiple stakeholders to drive desired outcomes.
- Possess strong analytical skills and are comfortable dealing with numerical data.
- Deliver high-quality work, paying strong attention to detail.
- Demonstrate a passion for data science and an ever-learning attitude.

Tools, Libraries, and Technologies:
1. Python, SQL, PySpark, MongoDB, S3, Blob Storage, IAM, CloudWatch
2. Pandas, NumPy, Scikit-Learn
3. LangChain, MongoDB Vector DB, FAISS Vector DB, or other RAG frameworks

The estimated salary range for this position is $120,000-$180,000 per annum, based on industry standards and location.