About Us.
Casepoint powers governments and enterprises to secure, discover, and activate defensible insights with confidence. We unify eDiscovery, investigations, compliance, audit, regulatory and FOIA workflows into a single, secure, AI-powered, end-to-end platform. We help cut through the noise to respond faster, reduce risk, and help comply with legal and regulatory demands. Casepoint is looking to expand its team globally. Team cooperation, “work hard, play hard” attitude, open communication, and kindness mark Casepoint’s culture.
We are looking for a passionate
AI/ML Engineer
who can design, develop, and deploy scalable machine learning and generative AI solutions. You will work with large datasets to build intelligent systems that enhance our products and drive data-driven decision-making across the organization.
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:
We believe
great culture builds great products
. We foster a collaborative and growth-oriented environment where innovation thrives. Our team members are valued, empowered, and rewarded with
competitive compensation
and continuous learning opportunities.
Experience:
1 to 8 Years
Location:
Surat, India
