[Remote] Senior AI Engineer at YipitData

India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Market Research, AnalyticsIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
Basic understanding of machine learning algorithms and deep learning models
Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch)
Familiarity with data processing libraries like Pandas, NumPy, and regular expressions
Understanding of model evaluation techniques and performance metrics

Responsibilities

Assist in the development, training, and fine-tuning of machine learning (ML) models
Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning
Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
Support research and development of AI applications in natural language processing (NLP) and predictive analytics
Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services
Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases
Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques

Skills

Key technologies and capabilities for this role

TensorFlowPyTorchScikit-learnDockerKubernetesNLPMachine LearningData PipelinesLLMPrompt EngineeringTransformer ModelsQuantizationPruningDistillation

Questions & Answers

Common questions about this position

Is this a remote position and what are the work hours?

This is a fully-remote opportunity based in India with standard work hours from 10 am to 7 pm IST.

What is the salary range for this Senior AI Engineer role?

This information is not specified in the job description.

What are the key required skills for this position?

Candidates need a Bachelor’s or Master’s in Computer Science, AI, or related field, basic understanding of machine learning and deep learning, hands-on Python experience with TensorFlow or PyTorch, and familiarity with Pandas, NumPy, and regex.

What is the company culture like at YipitData?

YipitData cultivates a people-centric culture focused on mastery, ownership, and transparency, and has been recognized as one of Inc’s Best Workplaces for three years.

What benefits does YipitData offer?

The compensation package includes comprehensive benefits, perks, competitive salary, vacation time, parental leave, team events, learning reimbursement, and more.

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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