Management Trainee - LLM’s Ops

Lali Sheetalay
Gurugram
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 1 yearMin. 1 year

Job Description

Management Trainee - LLM’s Ops

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Management Trainee - LLM’s Ops

We are seeking a highly skilled and experienced Data Scientist to join our team. As a LLMOps Manager, you will be responsible for utilizing your expertise in Python, Large Language Models, , Azure Cognitive Services, Azure Search, Azure Machine Learning (Azure ML), Whisper, Time Series Forecasting, Natural Language Processing (NLP), Postgres (DB), Machine Learning (ML), Deep Learning (DL),. The ideal candidate should have a strong background in Python, Open AI LLM, statistical analysis, and Machine Learning Responsibilities:

• Develop and implement data-driven solutions using Python, Large Language Models, and Deep Learning techniques. • Experience with large-scale data processing and distributed computing frameworks (e.g., Apache Spark, Hadoop). • Apply Natural Language Processing (NLP) techniques to analyze and interpret unstructured text data. • Build and deploy machine learning models using Azure Cognitive Services and Azure Machine Learning (Azure ML). • Work with Whisper for anomaly detection and monitoring in time series data. • Collaborate with cross-functional teams to identify and address business challenges through data analysis. • Develop and maintain databases using Postgres (DB) for efficient data storage and retrieval. • Deploy and maintain Flask-Fastapi-Restapi for building scalable and efficient APIs

Qualifications we seek in you! Minimum Qualifications

• Bachelor or Master degree in computer science, Statistics, Mathematics, or a related field. • Relevant of experience in Python Development. • Strong proficiency in SQL and experience with data warehousing and ETL processes • Familiarity with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn. • Excellent analytical and problem-solving skills. • Strong communication and collaboration skills. • Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications • Proficiency in SQL and database management • Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

Job role

Work location
Work locationGurugram Gurugram
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 1 year

About company

Name
NameLali Sheetalay
Job posted by Lali Sheetalay

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