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Python ML developer

Python ML developer

Infosys

3 - 8 years

5 - 9 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

sql tensorflow debugging python relational databases kubernetes algorithms sales docker containerization deep learning spark pytorch keras api big data ml snowflake public cloud oracle data processing bert machine learning r lambda expressions aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Educational
Bachelor of Engineering Service Line
Data & Analytics Unit Responsibilities
- Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.- Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution.- Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency- Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models- Automate data processing and extraction- Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions.- Develop reusable ML models and assets into production. Technical and Professional :
- Excellent Python programming and debugging skills. (Refer to Pytho JD given below)- Proficiency with SQL, relational databases, & non-relational databases- Passion for API design and software architecture.- Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners- Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems.- Experience with modern large language model (Chat GPT/BERT) and applications.- Expertise with performance optimization.- Experience or knowledge in public cloud AWS services - S3, Lambda.- Familiarity with distributed databases, such as Snowflake, Oracle.- Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Preferred
Skills:

Technology-Big Data - Data Processing-Spark Technology-Machine Learning-R Technology-Machine Learning-Python

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Python ML developer