Python ML developer

• Total 2 industry experience
• 3 year experience in applying machine learning techniques to real business problems

Key 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 Requirements:

• 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: