Dist Engr-AI Science

About this role

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Senior Machine Learning Engineer

S&P Global

In OfficeHyderabad

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Machine Learning Engineer

S&P Global

In OfficeHyderabad

Apply

Senior Machine Learning Engineer

S&P Global

In OfficeHyderabad

Apply

Machine Learning Engineer

S&P Global

In OfficeHyderabad

Apply

Skills you'll use

What you'll do

• Design, develop, and deploy end-to-end AI/ML solutions, including data pipelines, model training, deployment, monitoring, and optimization.
• Develop technical high level and low level architecture for generative and agentic systems
• Lead and mentor a high performing team of data scientists and AI/ML engineers, fostering a culture of collaboration and innovation.
• Stay abreast of the latest advancements and trends in Generative/Agentic AI, continuously evaluating and integrating emerging technologies.
• Collaborate closely with cross-functional teams, including product, engineering, and business stakeholders, to translate business requirements into innovative AI/ML solutions.
• Champion the adoption of AI/ML best practices, ensuring the development and deployment of secure, reliable, and ethical AI systems.

Who can apply

• You'll need to have:
• Bachelor's degree or six or more years of work experience.
• Six or more years of relevant work experience.
• Twelve or more years of experience in architecting, designing, and implementing large-scale AI/ML systems in a production environment, including implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc.
• Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals
• Ability to represent the team in leadership forums, and elevate the AI practice by creating next gen solutions and evangelizing best practices
• Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems
• Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python.
• Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face api’s.
• Working knowledge of various supervised and unsupervised ML algorithms . Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall.

About Verizon

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