- Python, Java/Scala: Commonly used in big data frameworks like Apache Spark.
- C++: Useful for high-performance applications, such as those needing faster execution times.
Libraries and Frameworks
- TensorFlow, PyTorch, Keras & Scikit-learn
Data Manipulation and Analysis
- Pandas, NumPy, SQL & Data Wrangling
Machine Learning Concepts
- Supervised Learning: Understanding classification and regression models.
- Unsupervised Learning: Techniques such as clustering and dimensionality reduction.
- Reinforcement Learning: Familiarity with algorithms relevant to decision-making processes.
Tools and Platforms
- Jupyter Notebook: An interactive environment for exploratory data analysis and development.
- Git: Version control for managing codebases.
- Docker: For containerization of applications, ensuring consistency across environments.
- Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure for deploying ML models.
Software Development Skills
- APIs: Creating and consuming RESTful APIs for model deployment.
- Software Development Lifecycle (SDLC):
Understanding the phases of software development and methodologies (e.g., Agile, DevOps).
- Testing and Debugging: Techniques for ensuring code quality and model performance.
Big Data Technologies
- Hadoop: For distributed data processing.
- Spark: For big data analytics and processing.
- NoSQL Databases: Such as MongoDB or Cassandra for handling unstructured data.
Must Have
- Proficiency in Python
- Libraries and Frameworks - TensorFlow, PyTorch, Keras & Scikit-learn
- Exp in Git, Jupitor Notebook
- Data Maniplation Skills - Pandas, NumPy, SQL & Data Wrangling
- Machine Learning Concepts
Experience: 3-4 Yrs
Education: BE/B.Tech/MCA
Employment Type: Full Time
Location: Bengaluru
Why Join ALTEN India
- Chance to work with leading global aerospace clients.
- Dynamic, innovation-driven environment with exposure to cutting-edge technologies.
- Continuous learning and career growth opportunities.
- Inclusive and collaborative workplace culture.
📌 SW Engineer (Python/TensorFlow) (Bengaluru)
🏢 ALTEN
📍 Bengaluru
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