Python/Django Developer
2 days ago
JD - Sr Python Developer (AI/ML Projects)
Location: Onsite | Mohali
Experience: 6-9 Years
Employment Type: Full-Time
Role Overview
We are looking for a Senior Python Developer with deep expertise in AI/ML
frameworks, data engineering, and scalable application development. The candidate
will work on high-velocity AI/ML projects—ranging from predictive analytics and
recommendation engines to generative AI platforms—where fast delivery and iteration
are critical.
Key Responsibilities
- Design & Develop: Build robust Python-based applications for AI/ML, data
processing, and automation.
- Model Integration: Implement, fine-tune, and deploy ML/DL models using
TensorFlow, PyTorch, Scikit-learn, Hugging Face.
- Data Engineering: Work with structured/unstructured datasets, build pipelines
(ETL, real-time streaming), and optimize data processing.
- Fast Iterations: Deliver MVPs and Proof-of-Concepts quickly, balancing speed
with scalability.
- Cloud Deployment: Implement and deploy ML workloads on AWS, Azure, or
GCP with Docker/Kubernetes.
- Collaboration: Work closely with data scientists, frontend engineers (React),
and product owners to deliver end-to-end AI solutions.
- Automation & Performance: Optimize ML workflows, implement MLOps
(CI/CD for ML), and automate retraining pipelines.
- Mentorship: Guide junior developers, share best practices, and enforce coding
and testing standards.
Required Skills & Experience
- 6-9 years of experience in Python development, with at least 5+ years in
AI/ML-focused projects.
Strong expertise in Python, FastAPI/Django for API and microservices.
Proficiency in ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging
Face Transformers.
Experience with data engineering tools (Pandas, Spark, Airflow, Kafka).
Hands-on with cloud-native ML deployments (AWS Sagemaker, Azure ML,
GCP Vertex AI).
Familiarity with MLOps pipelines (Kubeflow, MLflow, DVC, CI/CD).
Knowledge of SQL & NoSQL databases (Postgres, MongoDB, Redis).
Strong understanding of AI/ML lifecycle - from model training to monitoring
in production.
- Exposure to generative AI, NLP, or computer vision is a strong plus.
Soft Skills
Ability to deliver under tight timelines without compromising quality.
Strong problem-solving and debugging mindset.
Excellent client-facing and communication skills.
Leadership ability in a cross-functional, fast-paced environment.
Education
Bachelor's/Master's degree in Computer/Data Science, AI, or related field.
Certifications in AI/ML, Cloud, or Data Engineering are preferred.
Why Join Us?
Work on cutting-edge AI, ML, and generative AI projects for global clients.
Fast-track career growth in a rapidly scaling IT services company.
Opportunity to shape AI/ML delivery frameworks for enterprise clients.
Competitive compensation + performance bonuses.
Kindly share your resume on this email id -
Job Type: Full-time
Pay: ₹50, ₹60,500.00 per month
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
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