Sr. Python Developer

We are looking for a highly skilled Senior Python Developer with strong experience in Data Science, Machine Learning, and AI to design, develop, and deploy scalable data-driven applications. The ideal candidate will have deep expertise in Python programming, data pipelines, model development, and production-grade AI systems.

The core responsibilities for the job include the following:

Python Development:

• Design, develop, and maintain robust, scalable Python applications.
• Write clean, efficient, reusable, and testable code.
• Optimize applications for maximum performance and scalability.

Data Engineering and Processing:

• Build and manage ETL pipelines for large-scale data processing.
• Work with structured and unstructured data.
• Integrate data from multiple sources (APIs, databases, cloud platforms).

Machine Learning and AI:

• Develop, train, and deploy machine learning models.
• Implement algorithms for predictive analytics, NLP, computer vision, etc.
• Perform model evaluation, tuning, and optimization.
• Deploy models into production using APIs or microservices.

Data Science and Analytics:

• Perform exploratory data analysis (EDA) and statistical modeling.
• Extract insights from large datasets to support business decisions.
• Create dashboards, reports, and visualizations.

System Design and Architecture:

• Architect end-to-end AI/ML solutions.
• Design scalable microservices and RESTful APIs.
• Collaborate with DevOps for CI/CD and deployment pipelines.

Collaboration:

• Work closely with product managers, data scientists, and engineers.
• Mentor junior developers and review code.
• Participate in Agile/Scrum processes.

Key Deliverables:

• High-quality scalable Python applications.
• Production-ready ML models.
• Efficient data pipelines.
• Actionable insights from data.

Requirements:

• Experience: 4-7 Years.
• Bachelor's/Master's degree in Computer Science, Data Science, or a related field.

Technical Skills:

• Strong proficiency in Python (5+ years).
• Machine Learning libraries: Scikit-learn, TensorFlow, PyTorch.
• Experience with NLP (NLTK, SpaCy, Transformers), Deep Learning concepts.
• Database knowledge: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), API development (REST, GraphQL).
• Cloud platforms: AWS / GCP / Azure.
• Containerization: Docker, Kubernetes.

Experience with frameworks:

• Web: Flask / FastAPI / Django.
• Data: Pandas, NumPy.

Preferred Qualifications:

• Experience with MLOps tools (MLflow, Kubeflow, Airflow).
• Knowledge of big data technologies (Spark, Hadoop).
• Experience in building recommendation systems or AI products.
• Familiarity with LLMs and Generative AI.
• Experience with vector databases (FAISS, Pinecone).
• Exposure to CI/CD pipelines.

Soft Skills:

• Strong problem-solving and analytical thinking.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment.
• Leadership and mentoring capabilities.

Nice to Have:

• Contributions to open-source projects.
• Research publications in AI/ML.
• Experience with real-time data processing.