About Biz-Tech Analytics

At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure.

We are looking for a Senior Machine Learning Engineer / AI Project Manager who combines strong technical expertise in Computer Vision and Machine Learning with proven project management, product ownership, team leadership, and stakeholder management experience.

- The ideal candidate should have hands-on experience working with AI/ML systems while also being capable of leading teams, managing end-to-end projects, coordinating technical execution, defining requirements, working with clients, and ensuring successful delivery of production-grade AI solutions.

Key Responsibilities Technical & AI/ML Leadership

- Lead the design, development, deployment, and optimisation of Computer Vision and Machine Learning solutions for real-world production applications.
- Oversee solutions involving object detection, object tracking, human activity analysis, visual quality control, image/video analysis, facial recognition, and automated inspection systems.
- Work closely with ML engineers and technical teams to define technical approaches, architecture, models, datasets, evaluation methods, and deployment strategies.
- Review technical solutions and ensure that models meet requirements for accuracy, latency, scalability, reliability, and production performance.
- Evaluate and introduce relevant Computer Vision and AI technologies, including Vision Transformers (ViTs), SAM, Grounding DINO, multimodal models, and Generative AI workflows.
- Guide the development of image and video data pipelines across camera, sensor, edge, and cloud environments.
- Ensure effective MLOps practices, including model deployment, monitoring, versioning, experimentation, and performance optimisation.

Project & Product Management

- Own the end-to-end planning and execution of AI/ML projects, from initial problem definition and requirements gathering through development, deployment, and post-deployment monitoring.
- Translate business and client requirements into clear technical requirements, project scopes, milestones, deliverables, and execution plans.
- Work closely with engineering, data, product, and business teams to ensure projects remain aligned with objectives,



timelines, and quality standards.
- Define project priorities, dependencies, resources, timelines, and deliverables.
- Track project progress, identify risks and blockers, and drive timely resolution with the relevant teams.
- Manage multiple AI/ML projects and priorities simultaneously while ensuring effective resource allocation.
- Participate in PoCs, product development, solution design, and client consulting engagements.
- Help identify opportunities to convert AI/ML capabilities into scalable products and repeatable solutions.
- Collaborate with stakeholders to define product requirements, success metrics, acceptance criteria, and expected business outcomes.

Team Leadership & People Management

- Lead and manage a team of ML Engineers, Computer Vision Engineers, and other technical contributors.
- Mentor engineers and provide technical and project-level guidance throughout the development lifecycle.
- Assign responsibilities based on team capabilities, project requirements, and timelines.
- Conduct regular project and team reviews to track progress, quality, and performance.
- Establish high technical and execution standards across the team.
- Identify skill gaps and support team members through mentoring, knowledge sharing, and structured development.
- Act as the bridge between technical teams, product/business stakeholders, and clients.

Client & Stakeholder Management

- Work directly with clients and internal stakeholders to understand business problems and translate them into practical AI/ML solutions.
- Lead technical discussions, requirement-gathering sessions, solution presentations, and project updates.
- Communicate complex AI/ML concepts clearly to both technical and non-technical stakeholders.
- Manage expectations around project scope, timelines, technical feasibility, and deliverables.
- Present project progress, risks, outcomes, and recommendations to senior stakeholders.
- Build strong working relationships with clients and internal teams throughout the project lifecycle.

Qualifications





- 3+ years of experience working in Machine Learning, Computer Vision, AI Engineering, Technical Product Management, or AI/ML Project Management, with meaningful experience in production environments.
- Strong understanding of Computer Vision and Machine Learning, including experience with areas such as object detection, tracking, image/video analysis, defect detection, facial recognition, or visual inspection.
- Strong proficiency in Python and familiarity with frameworks and libraries such as PyTorch, TensorFlow, OpenCV, or equivalent.
- Proven experience managing AI/ML projects or products from problem definition through development and production deployment.
- Demonstrated experience in leading technical teams, mentoring engineers, allocating work, and managing project deliverables.
- Strong understanding of MLOps, data pipelines, model deployment, cloud/edge infrastructure, and production ML systems.
- Experience working with cross-functional teams including engineering, product, data, business, and client-facing teams.
- Strong project management skills, including planning, prioritisation, resource management, risk management, timelines, and delivery tracking.
- Ability to understand technical architecture and make informed decisions without necessarily being the primary hands-on developer for every component.
- Excellent communication and stakeholder-management skills.
- Comfortable working in a fast-paced, startup-like environment that requires ownership, adaptability, and independent problem-solving.

Valuable to Have

- Experience managing or delivering vision-based automation projects in manufacturing, industrial, retail, logistics, or other operational environments.
- Experience with real-time Computer Vision systems and edge AI.
- Experience with Generative AI, Large Language Models (LLMs), and multimodal AI systems.
- Experience building or managing multimodal AI pipelines combining vision, language, and structured data.
- Experience with AI product management or taking AI capabilities from PoC to production product.
- Understanding of AI governance, data privacy, compliance, security, and responsible AI practices.
- Experience working directly with enterprise clients on AI consulting, solutioning, or implementation projects.
- Familiarity with Agile/Scrum methodologies and project management tools.

📌 Senior ML/AI Project Manager - Computer Vision (Delhi)
🏢 Biz-Tech Analytics
📍 Delhi