Job description

About Company:

Casepoint provides full eDiscovery capabilities through a powerful, secure, cloud-based platform. We are repeatedly chosen by leading law firms and multinational corporations for their largest matters. On an upward trajectory for almost a decade, Casepoint is looking to expand its team globally. Team cooperation, “work hard, play hard” attitude, open communication, and kindness mark Casepoint’s culture.

Job Description

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

Key Responsibilities:

  • Develop and refine machine learning models, focusing on generative AI concepts.
  • Employ state-of-the-art data mining and model fine-tuning techniques.
  • Integrate third-party data sources to enrich our datasets.
  • Improve data collection methods to capture analytics-relevant information.
  • Ensure data integrity through meticulous processing and cleansing.
  • Conduct ad-hoc analyses and articulate findings succinctly.
  • Design and maintain automated anomaly detection systems, monitoring their efficacy continuously.

Required Skills & Experience:

  • Solid grasp of generative AI concepts, including model fine-tuning and retrieval-augmented generation.
  • Familiarity with Hugging Face models integration, OpenAI/Claude/Gemini integration, LangChain, and LlamaIndex.
  • Proficiency in machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, LR, LDA, KNN, CART, NB, and SVM.
  • Competence with data science toolkits like R, NumPy, MatLab, with expertise in at least one preferred.
  • Strong communication skills to effectively collaborate and convey complex concepts.
  • Skilled in data visualization tools and query languages.
  • Experience with vector storage.
  • Applied statistics knowledge, including distributions, statistical testing, and regression.
  • Proficient scripting and programming capabilities.
  • A data-driven mindset with a passion for uncovering insights from data.

Compensation & culture:

Excellent culture produces an excellent product. We value our team members, so we provide a nurturing environment of camaraderie. We recognize talent with competitive compensation and career empowerment.

Location: Surat, India

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