Predictive analytics, NLP, anomaly detection, and machine learning integration
Deployment - Indian Army Headquarter , Shankar Vihar , Delhi
Roles & Responsibilities:
Develop and train
AI/ML models
for
predictive analytics
,
anomaly detection
,
pattern recognition
, and
forecasting
.
Use
TensorFlow/PyTorch
for model development and
Apache Spark
for distributed processing.
Implement algorithms like
regression analysis
,
time-series forecasting
, and
clustering
for trend detection in spatial data.
Integrate
natural language processing (NLP)
components using
spaCy/NLTK
, enabling voice/text interaction with the platform.
Utilize
Large Language Models (LLMs)
like GPT to offer contextual insights and
semantic understanding
.
Support
scenario analysis
, generate strategic reports, and offer
data-driven recommendations
.
Contribute to building
BI dashboards
and
visualization modules
that show ML outputs in a comprehensible format.
Work with
Python (Pandas, NumPy)
to preprocess, analyze, and validate incoming data for model readiness.
Ensure proper model deployment, testing, and retraining loops to adapt to evolving datasets.
Qualification
Graduate
BE/B.Tech
andPostgraduate
- MCA/MTech with specialization in computers /Electronics /IT or M.Sc.in CS/IT/Physics/Mathematics/Stats / Electronics