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 setting 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?
Opportunity to work with leading global aerospace clients.
Dynamic, innovation-driven environment with exposure to cutting-edge technologies.
Continuous learning and career growth opportunitie
📌 SW Engineer (Bengaluru)
🏢 ALTEN India
📍 Bengaluru
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