Engineer - Machine Learning

Description

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree
• Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
• 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++
• 2+ years of experience in machine learning, deep learning, and natural language processing
• 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
• 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
• 2+ years of experience with cloud-native DevOps, CI/CD
• 1+ years of experience with Generative AI/LLMs
• Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
• Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
• Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
• Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
• Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
• Experience with generative models such as GANs, VAEs, and autoregressive models
• Prompt engineering
• Ability to design and craft prompts that evoke desired responses from LLMs
• LLM evaluation
• Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
• LLM debugging
• Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
• LLM deployment
• Ability to deploy LLMs in production environments and ensure that they are reliable and secure
• Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
• Must be legally authorized to work in India for any employer without sponsorship
• Must be fluent in English and Hindi (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Master's degree
• Computer Science or related STEM field