Note: The job is a remote job and is open to candidates in USA. Take2 Consulting, LLC is seeking a Technical Lead – AI & Analytics to lead Data Scientists and Data Engineers in building scalable machine learning solutions, data platforms, and analytics products using Microsoft Azure and Microsoft Fabric. The role combines hands-on technical leadership and team management across machine learning architecture, data engineering, enterprise analytics, stakeholder management, and team development.
Responsibilities
- Lead, mentor, and develop Data Scientists and Data Engineers while establishing clear expectations, priorities, and delivery timelines
- Oversee assignments, track project milestones, ensure quality deliverables, and provide timely, constructive feedback to team members
- Partner with technical and business stakeholders to communicate project status, risks, dependencies, and technical trade-offs
- Lead the complete machine learning lifecycle, including feature engineering, model development, training, validation, deployment, and ongoing performance monitoring
- Provide technical direction on machine learning algorithms, model architecture, hyperparameter optimization, and evaluation methodologies
- Guide the development of predictive analytics solutions using project management and enterprise business data
- Design and implement scalable, reliable data pipelines using Databricks, Apache Airflow, Fabric Data Factory, and Microsoft Fabric
- Lead data architecture, modeling, and warehousing initiatives using Medallion Architecture and Fabric Lakehouse
- Define and enforce engineering standards for ETL/ELT development, coding practices, source control, CI/CD, security, and data governance
- Implement appropriate row-level and object-level security controls across enterprise data and analytics environments
- Participate in and facilitate Agile ceremonies, sprint planning, estimation, backlog refinement, and technical discussions
- Maintain accurate technical documentation, architectural standards, and project artifacts
- Research emerging AI, machine learning, and data engineering technologies and recommend solutions that improve team capabilities and delivery efficiency
- Support recruiting activities, technical interviews, onboarding, and development of new team members
Skills
- Data Engineering: Strong expertise in ETL/ELT, data warehousing, data modeling, Medallion Architecture, data pipelines, and orchestration technologies. Experience leading enterprise-scale data engineering initiatives and teams
- Machine Learning & Data Science: Working knowledge of ML architecture and model development, including supervised and unsupervised learning, deep learning, NLP, and time-series forecasting. Experience partnering closely with Data Science teams
- Technical Leadership: Demonstrated ability to lead technical teams, establish expectations, manage workloads, track deliverables, provide feedback, and maintain accountability for results
- Stakeholder Management: Strong ability to communicate technical concepts, project status, risks, and recommendations to both technical and business stakeholders
- Problem Solving: Strong analytical and troubleshooting skills with the ability to decompose complex technical challenges and develop practical, scalable solutions
- Collaboration & Communication: Excellent communication skills with the ability to work effectively across engineering, data science, product, and business teams
- Agile Delivery: Experience working within Agile development environments, including sprint planning, estimation, ceremonies, and iterative delivery
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