Job Description
We collaborate closely with clients to understand their unique needs and develop tailored solutions that drive mutual success. This role requires a deep understanding of client challenges and the ability to craft innovative, strategic responses that align with business objectives. Key responsibilities include fostering long-term partnerships, identifying growth opportunities, and ensuring seamless integration of proposed solutions. The ideal candidate will possess strong analytical skills, exceptional communication abilities, and a proactive approach to problem-solving. Experience in client-facing roles and a track record of delivering measurable results are essential.
Facilitate client discovery meetings to comprehensively assess dataset requirements, established workflow protocols, and machine learning project goals.
You will convert client requirements into structured workflows, detailed annotation guidelines, comprehensive taxonomies, and robust quality frameworks.
Deliver timely updates to clients regarding their shipments and share actionable performance insights. Additionally, offer strategic recommendations to optimize their workflows.
Support the definition of solution scope, conduct demonstrations, gather proposal inputs, and address client clarifications.
Evaluate and pinpoint avenues to enhance or broaden current initiatives.
The Program Delivery Management role is responsible for the strategic oversight and execution of program initiatives, ensuring alignment with organizational objectives and stakeholder expectations. Key responsibilities include coordinating cross-functional teams, managing timelines, mitigating risks, and delivering projects on time and within budget. This position requires a strong background in project management methodologies, excellent communication skills, and the ability to lead teams through complex challenges. The ideal candidate will have experience in program delivery, a track record of successful project outcomes, and proficiency in relevant tools and frameworks.
Responsible for managing the day-to-day operations of designated AI/ML, Computer Vision, AV/ADAS, and associated data workflows.
Deliver results that consistently meet established KPIs, SLAs, accuracy benchmarks, throughput targets, quality standards, and scheduled timelines.
Oversee the onboarding process, coordinate calibration activities, implement guideline updates, facilitate workflow transitions, and ensure production readiness.
Collaborate closely with Delivery Leads to guarantee optimal staffing levels, comprehensive training initiatives, tool readiness, and operational uniformity.
Ensure meticulous documentation and establish transparent process controls across all teams.
We are seeking a seasoned professional to oversee Quality, Analytics, and Performance Management initiatives, ensuring operational excellence and continuous improvement. The ideal candidate will possess strong analytical skills to interpret complex data, identify trends, and drive data-informed decision-making. Responsibilities include developing and implementing quality frameworks, monitoring performance metrics, and leading cross-functional teams to optimize processes. A deep understanding of performance management systems and a track record of leveraging analytics to enhance efficiency are essential. Proficiency in relevant software tools and methodologies, along with excellent communication abilities to present insights to stakeholders, is also required.
Develop and sustain reports and dashboards designed to monitor accuracy, productivity metrics, error patterns, latency, and overall program performance.
Perform thorough root-cause evaluations of quality-related discrepancies and collaborate with Quality Assurance and Training teams to institute appropriate corrective measures.
Leverage data-driven insights to enhance annotation accuracy, minimize the need for rework, and reinforce overall delivery performance.
Provide transparent performance reports to clients and internal stakeholders, ensuring timely and accurate updates on progress and outcomes.
Cross-functional collaboration involves working seamlessly with diverse teams across various departments to achieve shared objectives. It requires strong interpersonal skills, adaptability, and the ability to integrate different perspectives into cohesive solutions. Professionals in this role must effectively communicate, resolve conflicts, and align goals to drive project success and innovation. Experience in collaborative environments, such as team-based initiatives or matrix organizations, is highly valued, along with a proactive approach to problem-solving and relationship-building.
Collaborate closely with Quality Assurance, Training, Delivery, Technical Operations, Business Development, and client-facing teams to ensure cohesive project execution and alignment across all departments.
Facilitate the establishment of pilot initiatives, conduct rigorous workflow assessments, refine operational guidelines, implement schema modifications, and update ontologies as needed.
Ensure that delivery teams are fully informed of and adhere to the latest instructions and quality standards.
We are seeking a dedicated Continuous Improvement professional to drive operational excellence and foster a culture of ongoing enhancement. This role involves analyzing current processes, identifying inefficiencies, and implementing data-driven solutions to elevate performance and productivity. The ideal candidate will possess strong analytical skills, project management expertise, and experience with methodologies such as Lean, Six Sigma, or Kaiden. Additionally, the position requires excellent communication abilities to collaborate across teams, lead change initiatives, and train staff on best practices. A commitment to continuous learning and a results-oriented mindset are essential for success in this dynamic and impactful role.
Analyze data trends, client feedback, and team input to propose enhancements to existing workflows.
Leverage automation initiatives to enhance processes including pre-labeling, AI-assisted annotation, automated quality control, and refined audit methodologies.
Drive standardized approaches to operations, enhance calibration processes, and foster ongoing enhancements across all initiatives.
Bachelor’s degree in a relevant field or equivalent practical experience is required. Proficiency in specific programming languages or tools is essential. Strong problem-solving and analytical abilities are critical. Excellent communication and teamwork skills are necessary. Prior experience in a similar role is preferred. Familiarity with industry best practices and emerging trends is advantageous. The ability to manage multiple tasks and meet deadlines is important. Attention to detail and a commitment to continuous learning are valued.
A bachelor’s degree in Computer Science, Information Systems, Engineering, Data/AI, Business Operations, or a closely related discipline is required.
Candidates must possess a minimum of five years of hands-on experience in AI/ML operations, data annotation, technical delivery, program management, business process outsourcing (BPO), or comparable operational settings.
Preferred candidates will have prior experience overseeing or assisting with annotation workflows, AI data pipelines, computer vision applications, autonomous and advanced driver-assistance systems (AV/ADAS), robotics initiatives, or autonomous system development.
Demonstrated success in client-facing roles within technical delivery settings driven by key performance indicators.
Seasoned professionals with a proven track record in leading cross-functional teams, resolving high-priority escalations, optimizing operational workflows, and consistently achieving quality and productivity benchmarks are encouraged to apply.
Qualifications
BA/BSc/HND
Experience Required
5 years
