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3 jobs found

2d ago

Gen AI and Agentic AI Engineer

Infosys Charlotte, NC

Charlotte, NC

2d ago

Full time Agentic Ai Artificial Intelligence Data Analytics

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Job Description

Infosys is seeking a Gen AI and Agentic AI Engineer in Charlotte, NC onsite to build, deploy, and refine data driven models and analytics solutions, including LLM based approaches, with emphasis on data readiness, governance, and knowledge transfer.

Responsibilities

Develop data preparation tasks and identify patterns or anomalies to guide modeling efforts.
Ensure data readiness for advanced modeling through cleaning, validation, and organization of sources.
Design and implement models for complex use cases such as forecasting and LLM based solutions, refine algorithms to meet business needs, and deploy into scalable, production ready systems.
Test and optimize algorithms for performance, reliability, and scalability; mentor teammates on best practices.
Design and develop predictive models and data driven analyses to address business challenges; translate insights into action.
Build, evaluate, and deploy models; standardize code and contribute to knowledge management and reuse.
Leverage SAS, R and Python to create reusable customizations for non ML, ML, and deep learning tasks, while enhancing analytics including LLM capabilities and delivering cost effective solutions.
Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
Proactively maintain models and implement improvements for accuracy and reliability.
Apply governance controls to mitigate risk and ensure compliance across analytics initiatives.
Analyze performance trends, recommend improvements, and document discrepancies for escalation.
Maintain comprehensive documentation standards and participate in knowledge transfer sessions.
Engage with stakeholders to refine requirements, provide insights, and guide implementation of models.
Apply the predefined quality measurement framework at the task level within projects.
Deploy complex analytics tools or multi system integrations, validating deployment success.
Develop scripts or templates to streamline repeated deployment tasks.
Contribute to analytic solutions, IP asset creation, and training initiatives.
Contribute to thought leadership through papers, proofs of concepts, and exploration of non ML, ML, deep learning or LLM models.
Participate in and deliver analytics training, while contributing to content creation.
Provide input for segment and unit level business plans.
Deliver scalable, high quality analytics solutions aligned to business needs.
Demonstrate a knack for optimization, deployment and performance improvement of models.
Drive innovation through advanced analytics, automation and thought leadership.
Enable team growth through knowledge sharing, training and standardization.
Support business planning with data driven insights.

Technologies

SAS
R
Python

Your contribution to the team

Deliver scalable, high quality analytics solutions aligned to business needs.
Demonstrate a knack for optimization, deployment, and performance improvement of models.
Drive innovation through advanced analytics, automation and thought leadership.
Enable team growth through knowledge sharing, training, and standardization.
Support business planning with data driven insights.

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2d ago

AI Engineer

Infosys Hartford, CT

Hartford, CT

2d ago

Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

Infosys invites you to join onsite in Hartford, CT as an AI Engineer. This role focuses on turning data into actionable insights through end-to-end analytics work, from data extraction and transformation to preparing data, building models, testing, validating, and deploying analytics tools. You will partner with business and technology teams to translate requirements into practical models and clearly communicate results. This is a collaborative environment that values continuous learning, knowledge sharing, and contributing to team development.

In this position, you will contribute to data quality initiatives, help operationalize analytics solutions, and participate in the development of advanced analytics, including machine learning, deep learning, and large language models. You will work with predefined processes and tools such as SAS, R, and Python, and draw data from RDBMS to support client-facing analytics. The role emphasizes documentation for reproducibility and ongoing improvement of model performance, with opportunities to influence how analytics capabilities are delivered in test and production environments.

Responsibilities

Contribute to end-to-end data extraction activities
Support data transformation and data preparation efforts
Identify and resolve common data issues to maintain data quality
Ensure data quality informs model development
Assist in developing models using statistical methods and machine learning techniques
Collaborate with technology teams to operationalize models into analytics tools or scripts
Participate in model testing and validation processes
Choose algorithms that perform best based on statistical metrics and business goals
Contribute to the development of advanced analytics and ML or DL models, including LLMs
Use predefined processes and tools, including SAS and R/Python
Help define analytics problems and framing
Execute visualization, analysis, and predictive modeling with guidance from senior colleagues
Identify data sources and extract data from RDBMS
Contribute to UI/UX development for client usage
Monitor model performance and implement minor adjustments as needed
Escalate risks or compliance concerns as appropriate
Generate reports on deviations or schedule slippages
Document model development, testing, and deployment activities to support reproducibility
Work closely with business and technology teams to translate requirements into actionable models
Communicate results effectively to stakeholders
Apply any predefined quality measurement frameworks to project tasks
Participate in deploying analytics tools in both test and production environments
Ensure analytics solutions meet operational requirements

Requirements

A strong analytical mindset with hands-on experience in model development
Ability to translate business needs into actionable analytics solutions
Focus on data quality, validation, and performance optimization
Effective collaboration with both business and technology stakeholders
Commitment to continuous learning, knowledge sharing, and fostering team development

Technologies

SAS
R
Python
RDBMS

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25d ago

Senior Mechanical Engineer

Ecotope, Inc. Seattle, WA

Seattle, WA

25d ago

$106k - $164k/yr Full time Senior AutoCAD BIM

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Job Description

Senior Mechanical Engineer responsible for leading design initiatives that decarbonize the building sector, with a hybrid Seattle office arrangement.

Responsibilities

Lead mechanical design projects from kickoff through construction, collaborating across teams to deliver high‑quality, efficient, and cost‑effective solutions within client expectations, budgets, and timelines.
Design HVAC systems, including load Calculations, equipment and system selection, and layout development.
Coordinate mechanical designs with plumbing and electrical system work.
Prepare project drawings and specifications; develop design packages from Schematic Design to Construction Documents.
Present design options to project stakeholders.
Conduct Construction Administration tasks such as submittal reviews, RFI responses, site observations, and coordination with installing contractors.
Act as the primary contact for assigned projects and clients; lead coordination between external and internal teams and attend client meetings.
Perform Life Cycle Cost Analysis to inform payback for energy measures.
Survey existing buildings to identify opportunities for improvement.
Stay current with emerging technologies, evolving building codes, and green building standards.
Collaborate with Ecotope’s research department to demonstrate, monitor, and validate new technologies.
Apply and refine internal project management and quality control processes.
Ensure final internal QA/QC of reports, calculations, drawings, and specifications.
Mentor and develop junior staff through guidance and training.
Assist with business development and scoping of new projects.

Requirements

Bachelor’s degree (or equivalent) in engineering, science, or mathematics with 6+ years of experience, or a master’s degree with 5+ years of experience.
Professional Engineer (PE) license required.
Minimum of one year of project management experience.
Strong knowledge of building codes and green building rating systems (LEED, ESDS, LBC, etc).
Proficiency with AutoCAD 2D, Revit, Trane/Trace, Microsoft 365, Bluebeam Revu.
HVAC Mechanical Engineering experience: 6 years required.
Ability to commute to Seattle, WA 98101 (required).

Technologies

AutoCAD 2D
Revit
Trane/Trace
Microsoft 365
Bluebeam Revu
EnergyPlus
eQuest
IES
Python
R
MATLAB

Benefits

High-trust, low-stress workplace with strong work-life balance
160 hours of annual vacation plus a paid winter break closure during the last week of the year
Paid safe and sick leave
Eight company holidays
Four-week paid sabbatical once every six years after the 10-year anniversary
100% paid medical benefits for the employee
3% safe harbor to 401(k) regardless of employee contribution
Complimentary unlimited ORCA transit card
Up to $2,000 annual training and development funds
401(k) plan with employer matching
Dental insurance
Flexible spending account
Vision insurance
Paid time off and professional development assistance

The biggest challenges that you will face

Develop simple solutions to complex, multi-party requirements
Manage a range of projects spanning MEP design, code development, energy modeling, and emerging technologies
Deliver assignments on time and within budget while maintaining strong client relationships
Coordinate workload amid shifting schedules and project timelines

Valuable abilities / attributes to excel in this position

Practical engineering design sense to integrate new technologies into real-world buildings
Flexible, collaborative mindset with a focus on simple, effective solutions
Ability to apply first principles physics, heat transfer, and thermodynamics to energy use in buildings
Effective cross-disciplinary communication with engineers, developers, owners, architects, analysts, policy experts, etc
Strong ability to communicate within the team and across departments

Work arrangement

Hybrid schedule with a minimum of three days per week in the downtown Seattle office

Compensation

Salary range: $106,290 – $164,402 per year
Eligible for profit-sharing bonuses

How to apply

Send your resume and cover letter to talent@ecotope.com with the subject line: Senior Mechanical Engineer Applicant – Ecotope
Submit a single PDF file containing both the cover letter (required) and resume

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