machine learning, deep learning, and AI-driven solutions
. The ideal candidate will have a strong analytical mindset, proficiency in
Python, TensorFlow, PyTorch, and cloud-based ML services
, and a passion for solving complex data problems.
Responsibilities:
Develop, deploy, and optimize
AI/ML models
for various business use cases.
Analyze large datasets to extract
insights and patterns
using statistical techniques.
Implement
NLP, computer vision, and predictive analytics
models based on business needs.
Work with
structured and unstructured data
from diverse sources.
Optimize ML models for
scalability, efficiency, and performance
.
Collaborate with
data engineers and software developers
to integrate AI solutions into applications.
Stay up-to-date with the latest AI trends, frameworks, and technologies.
Required Skills:
? Strong proficiency in
Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
.
? Experience with
AI,LLMS,CNNS,RAG, cloud-based ML services (AWS, GCP, or Azure)
.
? Hands-on expertise in
NLP, computer vision, or deep learning techniques
.
? Knowledge of
MLOps, model deployment, and monitoring
.
? Strong problem-solving and analytical skills.
? Familiarity with
Big Data tools (Spark, Hadoop) and data visualization (Tableau, Power BI, Matplotlib)
is a plus.
Preferred Qualifications:
Experience with
AutoML and Generative AI
.
Proficiency in
containerization (Docker, Kubernetes)
for ML model deployment.
Google/AWS/Azure
ML certifications
.
Benefits:
? Competitive salary & performance bonuses
? Hybrid work
? Opportunities for learning and career growth
? Exposure to cutting-edge AI/ML projects
Apply Now!
Job Types: Full-time, Permanent
Pay: ₹552,873.59 - ₹3,500,000.00 per year
Application Question(s):
Mention your last working date
Working or serving your notice period?
Experience:
LLMs: 1 year (Preferred)
CNNs: 1 year (Preferred)
RAG: 1 year (Preferred)
AI/ML: 4 years (Preferred)
Data scientist: 4 years (Preferred)
Big data: 4 years (Preferred)
Google Cloud Platform: 4 years (Preferred)
Work Location: In person
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