Data preprocessing jobs

Sr. AI Engineer

Uniphore · Posted Aug 1, 2025

Open

Palo Alto, California, United States
Senior
$170K–$234K per year
5+ years

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Sr. AI Engineer

Uniphore · Posted Aug 1, 2025

Open

Palo Alto, California, United States
Senior
$170K–$234K per year
5+ years

Apply with Referso

AI / ML Engineer

Accenture · Posted Nov 6, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
5+ years

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Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.

Responsibilities

Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.

Requirements

15 years full time education
Nice to have: GenAI models
Nice to have: deep learning
Nice to have: neural networks
Nice to have: chatbots

Skills

Python (Programming Language)TensorFlow PyTorch AWS Azure Google Cloud data preprocessing feature engineering

Data Scientist

NeuroHire · Posted Nov 6, 2026

Open

Remote, United States +1 more
Remote
Full-time · Entry
0–1 years

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An early-career Data Scientist role focused on working with structured and unstructured datasets to discover patterns, develop predictive models, and generate data-driven insights.

Locations (2)

United States
Canada

Responsibilities

Collect, clean, process, and analyze large datasets from multiple sources to identify patterns, trends, and meaningful insights.
Perform exploratory data analysis (EDA) to understand data distributions, relationships, and potential business opportunities.
Develop, train, test, and evaluate machine learning models to solve analytical and predictive problems.
Apply statistical techniques and mathematical methods to interpret data and support evidence-based decisions.
Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.

Requirements

Master's degree in Data Science

Data Scientist

McCormick & Company · Posted Nov 6, 2026

Open

Gurgaon, India

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Responsible for applying data mining techniques, completing statistical analysis, cleaning data, building predictive models, and visualizing data to solve problems and innovate new ways of working for the global business.

Responsibilities

Translate data & analytics into business insights by working with global leaders and regional functional teams
Identify, acquire, and preprocess diverse data sources; validate data integrity and quality; and design scalable, automated data collection and enrichment processes to support robust analytical and machine learning systems.
Build and train models using machine learning, Time Series and Forecasting techniques
Design and build workflows with advanced algorithms and models such as ML, Time Series, ML Ops etc. to conform to business needs
Continuously evaluate and enhance existing systems by redesigning workflows and embedding AI and machine learning models to improve performance, scalability, and business impact

Requirements

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
Master’s degree in a related field.
Nice to have: Azure
Nice to have: MLOps
Nice to have: SAP

Skills

Python Power BI Statistical modeling Data visualization Data cleaning Machine learning Time Series Forecasting Data preprocessing Data integration Data quality Data architecture Data governance Data storytelling Data analysis Data mining

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Data Science Practitioner

Accenture · Posted Nov 6, 2026

Open

Gurugram, Haryana, India
5+ years

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Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes.

Responsibilities

Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and implementation of advanced AI models to address complex business challenges.

Requirements

15 years full time education

Skills

Generative AI Designing and deploying machine learning models Data preprocessing Feature engineering Model evaluation AI frameworks and tools Optimizing AI models for scalability and performance

AI Research Engineer

trainingbasket · Posted Nov 6, 2026

Open

Noida, Uttar Pradesh, India

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Research and develop new AI and Machine Learning algorithms and models.

Responsibilities

Design, train, test, and optimize machine learning and deep learning models.
Explore advanced AI technologies, including Generative AI and Large Language Models (LLMs).
Perform data collection, preprocessing, cleaning, and feature engineering.
Conduct experiments to evaluate model performance and accuracy.
Implement research papers and convert theoretical concepts into practical solutions.

Skills

Python Machine Learning algorithms Deep Learning Neural Networks NumPy Pandas Scikit-learn TensorFlow PyTorch Statistics Linear Algebra Probability Calculus Data Preprocessing Feature Engineering NLP

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LLM Model Developer

Accenture Infrastructure and Capital Projects, LLC · Posted Nov 6, 2026

Open

Hyderabad, Telangana, India
Full-time · Mid
3+ years

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Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.

Responsibilities

Perform independently and become an SME
Active participation/contribution in team discussions
Contribute in providing solutions to work related problems
Collaborate with cross-functional teams to integrate model improvements into production environments
Document model development processes and maintain clear records of experiments and outcomes

Requirements

15 years full time education

Skills

Large Language Models (LLMs)Generative AI Agentic AI Instruction fine-tuning Domain adaptation Model evaluation metrics Data preprocessing

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Responsible AI Engineer Manager/Senior Manager

Accenture · Posted Nov 5, 2026

Open

Chicago, Illinois, United States +14 more
$87K–$294K per year
5+ years

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Lead the development and implementation of responsible AI solutions, ensuring fairness, transparency, robustness, and privacy across client engagements.

Locations (15)

Chicago, Illinois, United States
California, United States
Colorado, United States
Connecticut, United States
District of Columbia, United States

Principle Engineer-Technology Strategy

Verizon · Posted Nov 5, 2026

Open

Chennai, Tamil Nadu, India
Hybrid
Principal
10+ years

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Lead technology strategy and program management for Verizon’s Enterprise Architecture team, driving AI and generative solutions across the organization.

Responsibilities

Develop and maintain technology roadmaps aligned with strategic goals
Engage with stakeholders and senior leadership to define product priorities
Collaborate with architects to ensure architecture alignment
Research emerging technologies and propose innovative solutions
Manage vendor and partner relationships

Requirements

Master’s degree from an accredited college or university
Nice to have: Graph DB Concepts
Nice to have: CloudEra
Nice to have: Snowflake
Nice to have: DataBricks

Skills

Data Science LLM Gen AI LangGraph AutoGen LangSmith Data preprocessing

Machine Learning Engineer

SOSi · Posted Nov 5, 2026

Open

Huntsville, Alabama, United States
On-site
Full-time · Mid
3–5 years

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Support the development, integration, and deployment of machine learning capabilities for a government customer in Huntsville, Alabama.

Responsibilities

Develop, train, evaluate, and improve machine learning models for operational applications
Apply supervised and unsupervised learning techniques to structured and unstructured datasets
Perform feature engineering, data preprocessing, and dataset validation
Select appropriate algorithms and evaluation metrics based on project requirements
Conduct experiments, compare model performance, and document technical findings

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline
Nice to have: Computer vision
Nice to have: NLP
Nice to have: Classification
Nice to have: Anomaly detection

Skills

Python PyTorch TensorFlow scikit-learn SQL PostgreSQL

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