Senior Python Developer - Artificial Intelligence/Machine Learning

Sr Python Developer (AI/ML Projects)

Location : Onsite | MohaliExperience : 6-9 YearsEmployment 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 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 Skills & Experience :
• 6 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 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 :
• Bachelor's/Master's degree in Computer/Data Science, AI, or related field.
• Certifications in AI/ML, Cloud, or Data Engineering are 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.
  

(ref:hirist.tech)