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Alined Consulting Group

Alined Consulting Group

www.alinedconsulting.com

2 Jobs

20 Employees

About the Company

We're redefining what it means to be a true partner in IT execution. We combine the speed and agility of elite staffing with the discipline and precision of enterprise-grade consulting--delivering rapid momentum today and building capability for tomorrow. We're not a resume shop. We're not inflated consultants. We're fueled by our network. We're operators--seasoned professionals who roll up our sleeves and get to work. From mission-critical project teams to data-driven roadmaps to last-mile hires, we move with intent: Execute Fast. Build for Scale. Lead with Purpose.

Listed Jobs

Company background Company brand
Company Name
Alined Consulting Group
Job Title
Machine Learning Engineer
Job Description
**Job Title** Machine Learning Engineer **Role Summary** Design, develop, and maintain scalable self‑service tools and automated workflows that enable teams to ingest, manage, and leverage data. Support data pipelines, machine learning workflows, and advanced analytics to empower data‑driven decision making. **Expectations** - Collaborate with senior engineers to extend platform capabilities and reduce friction for diverse data products. - Ensure system reliability, scalability, and adaptability while delivering high‑impact projects. - Continuously improve platform usability and performance for internal partners. **Key Responsibilities** - Design, build, and support scalable, self‑service data ingestion and sharing tools. - Develop automated workflows for data processing and machine learning pipeline orchestration. - Optimize data processes to improve efficiency and platform usability. - Maintain platform reliability, scalability, and security across all components. - Work with stakeholders to understand requirements and translate them into technical solutions. **Required Skills** - Strong software engineering skills (Python, Java, or similar). - Experience building distributed data pipelines (e.g., Airflow, Prefect, Dagster). - Knowledge of ML workflow orchestration and model deployment. - Familiarity with containerization (Docker) and cloud services (AWS, GCP, Azure). - Proficiency in version control (Git) and CI/CD pipelines. - Ability to troubleshoot performance issues and implement scalable solutions. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience). - Certifications in cloud platforms or data engineering (e.g., AWS Solutions Architect, GCP Professional Data Engineer) are a plus.
Chicago, United states
Hybrid
19-11-2025
Company background Company brand
Company Name
Alined Consulting Group
Job Title
Data Scientist
Job Description
**Job Title:** Data Scientist **Role Summary:** Lead data science initiatives to drive business impact through advanced analytics, machine learning, and data-driven decision-making. Develop and deploy predictive models, leveraging deep learning, NLP, and GenAI tools to solve complex business problems. Collaborate cross-functionally to translate strategic goals into technical solutions. **Expectations:** - 5+ years leading impactful data science projects or PhD in quantitative field + 3+ years experience. - 5+ years applying machine learning, data mining, and statistical methods for business decisions. - 2+ years of hands-on deep learning, LLMs, GenAI, and NLP implementation. **Key Responsibilities:** - Design, build, and deploy predictive models in cloud environments (AWS, GCP). - Mentor teams on machine learning methodologies, model evaluation, and optimization. - Translate business challenges into data science project plans and deliver actionable insights. - Collaborate with stakeholders to align technical strategies with business goals. - Analyze large datasets using Python and SQL to generate predictive analytics. **Required Skills:** - Proficiency in Python for data processing and model development. - Expertise in SQL for querying cloud-hosted data platforms. - Deep knowledge of machine learning, statistical analysis, and model deployment. - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP tools. - Strong cross-functional communication and collaboration abilities. **Required Education & Certifications:** - PhD in Statistics, Data Science, Computer Science, or related field, or equivalent industry experience.
Chicago, United states
Hybrid
Mid level
30-12-2025