AI/Data Scientist

Genesis Tech Engineers Pvt. Ltd.; Chandler (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

Genesis Tech Engineers Inc. is seeking two AI/Data Science Engineers to join its Industrial Engineering group onsite. You will analyze processes, build AI/ML solutions, and transform data into actionable insights while collaborating with US-based clients and cross-functional teams.

You’ll develop data pipelines, predictive models, dashboards with Power BI, and ensure scalable, secure AI deployments across manufacturing and operations environments.

Qualifications

• Bachelor's or Master’s degree in Data Science, Industrial Engineering, Computer Science, Operations Research, Statistics, Applied Mathematics, Engineering, or related field.
• Hands-on experience in Data Science, AI, ML, statistics, or optimization.
• Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL databases, data modeling, transformation, and processing.
• Experience building dashboards and analytical apps using Power BI or similar tools.

Responsibilities

• Observe, analyze, document existing processes, data sources, reports, and procedures.
• Identify inefficiencies, bottlenecks, and opportunities for automation and optimization.
• Develop and implement AI/ML, statistical, simulation, optimization, and automation solutions for industrial engineering.
• Build predictive models and analytical tools to support forecasting and capacity planning.
• Develop and maintain data pipelines, preparation routines, validation processes, and reusable datasets.
• Work with Python and data science libraries to develop AI-based solutions.
• Utilize SQL and data modeling to extract, transform, and analyze data.
• Collaborate with engineers, data teams, IT, and stakeholders to deliver scalable solutions.
• Create interactive dashboards and self-service analytics with Power BI and other tools.
• Translate complex data into actionable insights to support decisions.
• Prototype, test, deploy, and monitor AI-enabled solutions with good reliability and security.
• Explore Generative AI, LLMs, RAG, intelligent agents to improve workflows.
• Document methodologies, assumptions, model logic, data definitions, and SOPs.
• Train end users on new tools and data-driven workflows.
• Stay updated on AI/DS advances and practical uses in industrial contexts.

Skills

Python

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Power BI

English

Data Science

Education

Bachelor's or Master's in Data Science / IE / CS / OR / Stats / Applied Math / Engineering

Tools

Power BI

SQL

Job description

Job Category - Artificial Intelligence / Data Science / Industrial Engineering

Work Mode - On-site

Experience - Intermediate, Professional

An exceptional career opportunity awaits you at Genesis Tech Engineers Inc., a company with a strong engineering focus and expertise in solving complex engineering challenges. We are looking for two AI / Data Science Engineers to join our Industrial Engineering group.

In this role, you will work closely with industrial engineering teams to analyze existing business processes, data workflows, and operational systems. You will identify opportunities to improve efficiency, accuracy, productivity, and decision-making through Artificial Intelligence, Machine Learning, Data Science, and Automation.

You will be responsible for developing practical AI-driven solutions, building predictive and analytical models, optimizing data flows, and transforming complex datasets into actionable business insights. You will also collaborate with US-based clients and internal cross-functional teams to deliver innovative engineering and technology solutions.

Responsibilities

• Observe, analyze, and document existing business processes, analytical workflows, data sources, reports, and operational procedures.
• Identify inefficiencies, manual tasks, data quality issues, process bottlenecks, and opportunities for automation and optimization.
• Develop and implement AI, Machine Learning, statistical, simulation, optimization, and automation solutions for industrial engineering applications.
• Build predictive models and analytical tools to support forecasting, capacity planning, process optimization, operational performance tracking, and scenario analysis.
• Develop and maintain data pipelines, data preparation routines, validation processes, and reusable datasets.
• Work with Python and relevant data science libraries to develop, test, and implement analytical and AI-based solutions.
• Utilize SQL and data modeling techniques to extract, transform, analyze, and manage structured and unstructured datasets.
• Collaborate with industrial engineers, data engineers, IT teams, project managers, and business stakeholders to understand requirements and develop scalable technical solutions.
• Develop interactive dashboards, reports, and self-service analytics solutions using Power BI and other visualization tools.
• Convert complex datasets and analytical results into meaningful insights to support management decisions.
• Prototype, test, deploy, and monitor AI-enabled solutions, ensuring accuracy, reliability, security, and maintainability.
• Explore and implement Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, and AI copilots to improve business workflows.
• Document technical methodologies, assumptions, model logic, data definitions, and standard operating procedures.
• Conduct regular validation and quality checks to ensure the accuracy and effectiveness of developed models and analytical solutions.
• Train and support end users in adopting new analytical tools, AI solutions, and improved data-driven workflows.
• Continuously research emerging AI and Data Science technologies and recommend their practical implementation in industrial engineering environments.

Minimum Qualifications

• Bachelor's or Master's degree in Data Science, Industrial Engineering, Computer Science, Operations Research, Statistics, Applied Mathematics, Engineering, or a related field.
• Hands‑on experience in Data Science, Artificial Intelligence, Machine Learning, Statistical Analysis, or Optimization.
• Strong proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit‑learn, TensorFlow, or PyTorch.
• Experience working with SQL databases, data modeling, data transformation, and data processing.
• Knowledge of structured and unstructured datasets and the ability to integrate data from multiple sources.
• Ability to analyze business processes, identify root causes, and recommend practical process improvements.
• Experience developing dashboards and analytical applications using Power BI or similar visualization tools.
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Excellent communication (verbal/written/oral) in English and teamwork skills.
• Ability to manage multiple assignments simultaneously and meet project deadlines.

Preferred Qualifications

• Experience in manufacturing, semiconductor, supply chain, factory operations, or industrial engineering environments.
• Knowledge of Lean Manufacturing, Six Sigma, Value Stream Mapping, Standard Work, Capacity Modeling, Time Studies, or Process Simulation.
• Experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), AI Agents, or AI Copilots.
• Familiarity with data governance, data quality management, responsible AI, model monitoring, and secure data handling.
• Experience integrating AI and analytics solutions with existing business systems, collaboration platforms, and workflow automation tools.
• Experience developing end-to‑end AI/ML applications and deploying models into production environments.

Working Model

• This role will be an onsite role based at any of the above 2 given locations.

Additional Information

• This is an exciting opportunity to work on innovative AI and Data Science applications within industrial engineering, collaborate with cross-functional engineering teams, and contribute to technology-driven process improvements.
• Candidates will have the opportunity to work on real-world industrial engineering challenges and develop solutions involving AI, Machine Learning, Data Analytics, and Automation.
• Genesis Tech Engineers Inc. is an equal opportunity employer and values diversity in our workforce. We encourage candidates from all backgrounds and experiences to apply.