- Location
- Pune Division, Maharashtra, India
- Job type
- Full-time
Required skills
- Python
- Airflow
- AWS
- Azure
- clustering
- communication skills
- containerization
- data ingestion
- deep learning
- Django
- Docker
- ETL
- Flask
- GCP
- Kubernetes
- machine learning
- NoSQL
- NumPy
- Pandas
- regression
- Spark
- TensorFlow
- Pytorch
- RESTful
About the role
Rectitude Consulting Services
Website:
rectitudecs.com
Job details:
Vacancy for Python AI/ML Developer
Job Summary
Short Profile :
pydev123
No. Of Vacancy
2
Location :
Pune
Category
Development
Position
Python Developer
Responsibilities
Job Description
- Design, develop, and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Build and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
- Develop and implement RESTful APIs for model serving and integration with other systems.
- Collaborate with data scientists to explore data, identify patterns, and develop innovative solutions.
- Work closely with engineering teams to deploy and monitor models in production environments.
- Optimize model performance and ensure scalability and reliability.
- Contribute to the development of our AI/ML infrastructure and best practices.
- Stay up-to-date with the latest advancements in AI/ML research and technologies.
- Participate in code reviews and contribute to the overall quality of our codebase.
- Document code and models effectively.
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
- 3+ years of professional experience in Python development, with a focus on AI/ML.
- Strong proficiency in Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience building and deploying machine learning models in production environments.
- Solid understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning).
- Experience with data pipeline development and ETL tools (e.g., Airflow, Spark).
- Knowledge of data warehousing concepts and technologies.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience building RESTful APIs using frameworks like Django or Flask.
- Familiarity with NoSQL databases (e.g., MongoDB).
- Excellent problem-solving and communication skills.
- Ability to work effectively in a team environment.
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