Senior Python Developer
6 days ago
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 :
to 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.
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