Machine Learning Engineer

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Intelligence, Data & AnalyticsIndustries

Requirements

Candidates must possess a Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field, with over 5 years of experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python programming, AI/ML fundamentals (deep learning, optimization, NLP, LLMs), cloud computing platforms (Azure preferred), and SQL for data manipulation is essential. Excellent problem-solving, attention to detail, communication, and collaboration skills are also required, along with the ability to thrive in a fast-paced environment.

Responsibilities

The Machine Learning Engineer will develop and implement AI/GenAI models and algorithms using Python, PyTorch/Tensorflow, Pandas, and LangChain, leveraging AI/ML fundamentals such as deep learning, optimization, NLP, and LLMs. Responsibilities include collaborating with cross-functional teams to gather requirements, perform data analysis, and develop end-to-end AI pipelines. The role involves conducting experiments, evaluating models for robustness and scalability, optimizing models for performance, and deploying them on cloud platforms, preferably Azure. Additionally, the engineer will utilize SQL for ETL processes and stay updated with the latest advancements in AI/GenAI.

Skills

Python

PyTorch

TensorFlow

Pandas

LangChain

Deep Learning

Optimization Techniques

NLP

Large Language Models (LLMs)

AI/GenAI

Data Analysis

ETL

SQL

Azure

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters

1963Year Founded

$45.1MTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, ConsultingIndustries

10,001+Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Competition from digital-native analytics firms threatens Nielsen's market share.

Privacy regulations may impact Nielsen's data collection capabilities.

Private equity acquisition could lead to strategic shifts misaligned with client needs.

Differentiation

Nielsen offers comprehensive cross-platform measurement solutions, including mobile media markets.

The Diverse Media Equity program elevates diverse-owned media companies' visibility.

Nielsen Impact Score evaluates marketing value of university athletic programs.

Upsides

Acquisition of Telephia enhances Nielsen's mobile media measurement capabilities.

Partnerships with P&G and NMSDC support diverse media representation.

Collaboration with TikTok improves digital audience measurement services.

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