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Infineon Technologies

Compare

3.9

based on 204 Reviews

138 Infineon Technologies Jobs

Staff Engineer Design

Infineon Technologies Pvt Ltd

3.9

based on 204 Reviews

4-6 years

Bangalore / Bengaluru

1 vacancy

Staff Engineer Design

Infineon Technologies

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning Web Analytics Neural Networks

+ 2 more

Job Description

In your new role you will:

Formulate approaches to solve problems using AI and ML in the context of customer, engineering and basic needs and come with innovative solutions to address the customer challenges.
Dive into the data to find key insights that impact the business.
Design algorithms, train model and deploy to production.
Technically Lead other data scientist to work with engineers and product manager to deliver solution\/product on time.
Coach, mentor, and develop staff, including overseeing new employee on-boarding and providing career development planning and opportunities.
Ability to serve as a knowledgeable resource to the organizations management team that provides leadership and direction.
Establish scalable, efficient, automated process for large scale data analysis, and model deployment, validation and implementation.
Peer review and publish work under IEEE conferences. You are best equipped for this task if you have:
- Bachelors \/ Master Degree in Computer Science, Electrical\/Electronic Engineering.
- 4+ year of professional experience in application of machine learning, deep learning, data science and large data analysis.
- 4+ years of experience in at least one of the DL frameworks like PyTorch, TensorFlow etc.
- 3+ year of experience in RNN, LSTM, GRU Networks.
- 3+ year of experience in at least one of the programming languages like Python\/R.
- Experience in CNN (Convolutional Neural Network), GAN (Generative Adversarial Network), DCGAN etc.
- Hands-on experience using OpenCV.
- Good understanding of modern clouds, server architectures and their components (CPU, RAM, Storage etc.), integration with OS and cloud environment.
- Working knowledge of Deep-learning models like BERT, LLM, Multi-Modals etc.
- Experience in building RAG pipelines using AI Agents, Different LLMetc.
- Experience with scientific and machine learning libraries e.g., SciPy, SciKit-learn, numPy.
- Experience building large scale data processing pipelines.
- Ability to explain and present analyses and machine learning concepts to a broad technical audience.
- 2+ years of experience in doing statistical analysis and designing ML models in one or more of the following: casual inference, A\/B testing, statistical significance in complex scenarios, pattern discovery, Markov chains, process analytics, neural networks and deep learning techniques in technology applications.
- Working proficiency in SQL\/ No-SQL\/ ElasticSearch
- Expertise in machine learning supervised and unsupervised : Forecasting, Classification, Data\/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms and Reinforcement Learning
- Experience in statistical learning: Predictive Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic \/ Causal Model, Statistical Learning, Guided Decisions, Topic Modelling
- Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
- Experience in leading Junior Data Scientists on approach and results.