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Urgent! Senior Python Developer - Artificial Intelligence/Machine Learning Job Opening In Sahibzada Ajit Singh Nagar – Now Hiring Techrbm

Senior Python Developer Artificial Intelligence/Machine Learning



Job description

<p><p><b>Sr Python Developer (AI/ML Projects)</b><br/><br/>Location : Onsite | Mohali<br/><br/>Experience : 6-9 Years<br/><br/></p><p>Employment Type : Full-Time</p><p><br/></p><p><b>Role Overview : </b><br/><br/>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 : </b></p><p><br/>- Design & Develop : Build robust Python-based applications for AI/ML, data processing, and automation.</p><br/>- Model Integration : Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face.<br/><br/>- Data Engineering : Work with structured/unstructured datasets, build pipelines (ETL, real-time streaming), and optimize data processing.<br/><br/>- Fast Iterations : Deliver MVPs and Proof-of-Concepts quickly, balancing speed with scalability.<br/><br/>- Cloud Deployment : Implement and deploy ML workloads on AWS, Azure, or GCP with Docker/Kubernetes.<br/><br/>- Collaboration : Work closely with data scientists, frontend engineers (React), and product owners to deliver end-to-end AI solutions.<br/><br/>- Automation & Performance : Optimize ML workflows, implement MLOps (CI/CD for ML), and automate retraining pipelines.<br/><br/>- Mentorship : Guide junior developers, share best practices, and enforce coding and testing Skills & Experience : </b><br/><br/>- 6 to 9 years of experience in Python development, with at least 5+ years in AI/ML-focused projects.<br/><br/>- Strong expertise in Python, FastAPI/Django for API and microservices.<br/><br/>- Proficiency in ML/DL frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.<br/><br/>- Experience with data engineering tools (Pandas, Spark, Airflow, Kafka).<br/><br/>- Hands-on with cloud-native ML deployments (AWS Sagemaker, Azure ML, GCP Vertex AI).<br/><br/>- Familiarity with MLOps pipelines (Kubeflow, MLflow, DVC, CI/CD).<br/><br/>- Knowledge of SQL & NoSQL databases (Postgres, MongoDB, Redis).<br/><br/>- Strong understanding of AI/ML lifecycle - from model training to monitoring in production.<br/><br/>- Exposure to generative AI, NLP, or computer vision is a strong Skills : </b></p><p><br/>- Ability to deliver under tight timelines without compromising quality.</p><br/>- Strong problem-solving and debugging mindset.<br/><br/>- Excellent client-facing and communication skills.<br/><br/>- Leadership ability in a cross-functional, fast-paced : </b><br/><br/>- Bachelor's/Master's degree in Computer/Data Science, AI, or related field.<br/><br/>- Certifications in AI/ML, Cloud, or Data Engineering are Join Us?</b></p><br/>- Work on cutting-edge AI, ML, and generative AI projects for global clients.<br/><br/>- Fast-track career growth in a rapidly scaling IT services company.<br/><br/>- Opportunity to shape AI/ML delivery frameworks for enterprise clients.<br/><br/>- Competitive compensation + performance bonuses.</p><br/></p> (ref:hirist.tech)


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