Machine Learning Engineer - NLP/Python @ LTIMindtree

Job Description

[Recro]: ML Engineer (Drive) Requirements: bachelor, and/or master's degree in computer science, engineering, or a related field. Proven experience in developing and deploying applications utilizing azure openai and redis as a vector database. Solid understanding of language model technologies, including langchain, openai python sdk, lammaindex, olamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as ml flow, lane smith, long fuse, weight, bias, etc. Strong programming skills in languages such as python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e. g. , docker, kubernetes). excellent problem-solving and communication skills. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world. Verifying data quality, and/or ensuring it via data cleaning. Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML. To design and develop Machine Learning systems and schemes. To perform statistical analysis and fine-tune models using test results. To train and retrain ML systems and models as and when necessary. To deploy ML models in production and maintain the cost of cloud infrastructure. To develop Machine Learning apps according to client and data scientist requirements. To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective. Salary - 12-20 LPA (ref:hirist.tech

Employement Category:

Employement Type: Full time
Industry: Recruitment Services
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Machine Learning Engineer - NLP/Python

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Keyskills:   Azure Redis Python Containerization Docker Kubernetes Data Visualization Statistical Analysis OpenAI Language Model Technologies ML Flow