Senior Python Developer

3 weeks ago

Delhi, Delhi, India MindBrain Full time

Experience : 10+ Years (Minimum 5+ Years in AI/ML).

Location : Remote.

Duration : Contract.

Notice Period : Immediate Joiners Preferred.

Job Description :.

We are looking for a highly experienced Senior Python Developer with expertise in AI/ML to join our dynamic team.

The ideal candidate will have a solid background in leading AI/ML projects, building data pipelines, and deploying production-grade models.

This role requires strong technical leadership and hands-on experience in Python development, machine learning, and data engineering.

Key Responsibilities :

AI/ML & Data Science :

- Perform exploratory data analysis (EDA) to uncover patterns and insights.

- Build, validate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, PyTorch.

- Apply statistical methods, hypothesis testing, and model evaluation techniques to solve real-world problems.

- Conduct data preprocessing, feature engineering, and model optimization.

Data Engineering :

- Design and implement scalable ETL/data pipelines for large-scale data processing.

- Collaborate with data engineers to maintain high data quality and pipeline reliability.

- Optimize data storage and access strategies to ensure efficient data querying and analysis.

Software Development :

- Develop clean, modular, and well-documented Python code.

- Create and maintain REST APIs to serve machine learning models and analytics.

- Implement best practices in version control (Git), CI/CD, unit testing, and code review.

- Ensure deployment and monitoring of ML models in production environments.

Team Leadership :

- Provide technical mentorship to junior engineers and data scientists.

- Lead AI/ML project initiatives, ensuring timely delivery and quality standards.

- Drive collaboration across cross-functional teams including data engineering, product, and DevOps.

Good to Have :

Gen AI Skills :

- Experience with Gene AI tools or frameworks for enhancing analytical workflows.

- Ability to integrate Gene AI solutions into existing systems and data pipelines.

- Awareness of current trends and innovations in Gene AI and their application in business.

Must-Have Skills :.

- Python (Advanced)

- Machine Learning (scikit-learn, TensorFlow, PyTorch).

- Data Analysis & EDA.

- API Development.

- Data Engineering / ETL Pipelines.

- Model Deployment (CI/CD).

- Strong Team Leadership and Communication.

(ref:hirist.tech)

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