Senior AI ML Engineer

Hello There!

Casepoint Pvt. Ltd., Surat..!

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.

Senior

Key Responsibilities:

• Design, develop, and deploy 

  machine learning and AI models

  , with a strong focus on 

  Generative AI

   applications.
• Implement 

  model fine-tuning

  , 

  Retrieval Augmented Generation (RAG)

  , and 

  prompt engineering

   techniques.
• Integrate and optimize 

  open-source and commercial AI models

   (e.g., 

  Hugging Face

  , 

  OpenAI

  , 

  Claude

  , 

  Gemini

  , 

  LlamaIndex

  , 

  LangChain

  ).
• Build and manage 

  data pipelines

   for ingestion, transformation, and model training.
• Enhance 

  data collection and preprocessing

   methods to improve model accuracy and robustness.
• Work with 

  vector databases

   and embeddings to enable semantic search and intelligent retrieval.
• Collaborate with cross-functional teams to integrate ML models into production systems and monitor performance.
• Develop and maintain 

  automated model evaluation, retraining, and anomaly detection systems

  .
• Conduct experiments, evaluate model results, and present insights clearly to stakeholders.

Required Skills:

• Strong programming skills in 

  Python

   and libraries such as 

  NumPy

  , 

  Pandas

  , 

  Scikit-learn

  , and 

  PyTorch/TensorFlow

  .
• Hands-on experience with 

  Generative AI frameworks

  , 

  model fine-tuning

  , and 

  RAG pipelines

  .
• Experience integrating 

  LLMs

   via APIs or frameworks (

  LangChain

  , 

  LlamaIndex

  , etc.).
• Familiarity with 

  vector storage solutions

   (e.g., FAISS, Pinecone, Chroma).
• Sound understanding of 

  data preprocessing

  , 

  feature engineering

  , and 

  model evaluation

   techniques.
• Exposure to 

  cloud environments

   (AWS, GCP, or Azure) and 

  MLOps

   tools is a plus.

Copensation & Culture:

great culture builds great products

Experience:

Location: