AI / ML engineers

About the Role

Techsara Solutions is expanding its Training & Placement programs and hiring trainers who can deliver hands-on, job-ready upskilling across AI / ML, Business Analysis, Data Analytics, and Project Management . You’ll design curricula, run cohort classes, mentor learners, and partner with our Marketing & Onboarding teams to maximize placements.

What You’ll Do

• Curriculum & Delivery : Build outcome-oriented modules, lesson plans, labs, and capstones; conduct live sessions, workshops, office hours, and assessments.
• Job-Readiness : Coach on interview prep, resumes / portfolios, live case studies, and real-world project simulations aligned to U.S. roles.
• Measurement : Track attendance, progress, and competency; publish weekly MIS; drive certification pass rates, placement conversion, and NPS.
• Cross-Team Collaboration : Coordinate with Onboarding, Marketing, and Interview Support to ensure smooth learner handoffs and timely interventions.
• Content Quality : Continuously update content to current industry tools, best practices, and hiring trends; maintain LMS hygiene.

Core Tracks (You can specialize in one or more)

AI / ML : Python, data prep, feature engineering, classical ML (scikit-learn), evaluation, basic MLOps / experiment tracking, intro to LLMs & prompt workflows.

Business Analysis : Requirements elicitation, user stories / AC, BPMN, process mapping, wireframing (Figma / Balsamiq), UAT, JIRA / Confluence, stakeholder comms.

Data Analytics : SQL, Python (pandas), Excel / Google Sheets, data cleaning / EDA, visualization & dashboards (Power BI / Tableau), basic stats & A / B thinking.

Project Management : Agile / Scrum / Kanban, sprint ceremonies, RAID / RACI, risk & dependency mgmt, release readiness, JIRA reporting, stakeholder updates.

Must-Have Skills

Nice to Have (Plus)

Success Metrics You’ll Own

Location & Work Setup