
Python Developer
4 days ago
CDesignation: Python Developer
Experienced in AI/ML
Location: Turbhe, Navi Mumbai
CTC: 6-12 LPA
Years of Experience: 2-5 years
At
, we're redefining the future with
AI-powered software solutions
across education, recruitment, marketplaces, and beyond. We're looking for a
Python Developer passionate about AI/ML
, who's ready to work on scalable, cloud-native platforms and help build the
next generation of intelligent, LLM-driven products
.
Your Responsibilities
AI/ML Engineering
- Develop, train, and optimize ML models using
PyTorch/TensorFlow/Keras
. - Build
end-to-end LLM and RAG (Retrieval-Augmented Generation) pipelines
using
LangChain
. - Collaborate with data scientists to convert prototypes into
production-grade AI applications
. - Integrate
NLP, Computer Vision, and Recommendation Systems
into scalable products. - Work with
transformer-based architectures (BERT, GPT, LLaMA, etc.)
for real-world AI use cases.
Backend & Systems Development
- Design, develop, and maintain robust
Python microservices
with
REST/GraphQL APIs
. - Implement
real-time communication
with Django Channels/WebSockets. - Containerize AI services with
Docker
and deploy on
Kubernetes (EKS/GKE/AKS)
. - Configure and manage
AWS (EC2, S3, RDS, SageMaker, CloudWatch)
for AI/ML workloads.
Reliability & Automation
- Develop background task queues with
Celery
, ensuring smart retries and monitoring. - Implement
CI/CD pipelines
for automated model training, testing, and deployment. - Write
automated unit & integration tests
(pytest/unittest) with ≥80% coverage.
Collaboration
- Contribute to
MLOps best practices
and mentor peers in
LangChain/AI integration
. - Participate in
tech talks, code reviews, and AI learning sessions
within the team.
Required Qualifications
- Bachelor's or Master's degree in
Computer Science, AI/ML, or related field
. - 2–5 years of experience in
Python development with strong AI/ML exposure
. - Hands-on experience with
LangChain
for building LLM-powered workflows and RAG systems. - Deep learning experience with
PyTorch or TensorFlow
. - Experience deploying ML models and LLM apps into
production systems
. - Familiarity with
REST/GraphQL APIs
and cloud platforms (AWS/Azure/GCP). - Skilled in
Git workflows, automated testing, and CI/CD practices
.
Nice to Have
- Experience with
vector databases (Pinecone, Weaviate, FAISS, Milvus)
for retrieval pipelines. - Knowledge of
LLM fine-tuning, prompt engineering, and evaluation frameworks
. - Familiarity with
Airflow/Prefect/Dagster
for data and model pipelines. - Background in
statistics, optimization, or applied mathematics
. - Contributions to
AI/ML or LangChain open-source projects
. - Experience with
model monitoring and drift detection
in production.
Why Join Us
- Competitive compensation and benefits
- Work on
cutting-edge LLM and AI/ML applications
- A collaborative, innovation-driven work culture
- Opportunities to
grow into AI/ML leadership roles
-
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