Machine Learning Engineer - Lead
Machine Learning Engineer - Lead
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Job Description
Tasks
Evaluate and adapt state-of-the-art machine learning (ML) computer vision (CV) generative AI and time series forecasting algorithms to meet product and client objectives.
Research design and implement innovative ML algorithms for image video multimodal and temporal data.
Architect and develop full-stack ML pipelinesfrom data acquisition and preprocessing to training evaluation and deployment in cloud (AWS) or edge environments.
Prototype and validate proof-of-concept (POC) solutions for vision generative AI and time-series forecasting problems.
Translate customer requirements into actionable tasks ensuring a clear understanding of objectives scope and expected outcomes.
Analyze structured and unstructured data to uncover trends patterns and anomalies. Apply ML and statistical methods for prediction and forecasting.
Prepare detailed technical documentation reports and presentations for internal and external stakeholders.
Communicate complex technical topics effectively to both technical and non-technical stakeholders including clients and business partners.
Lead projects from prototype to production ensuring scalability reliability and performance of solutions.
Requirements
Strong hands-on experience in delivering ML solutions including production-grade computer vision and forecasting models.
Proven expertise in forecasting and time series data handling (e.g. ARIMA LSTM temporal convolutional networks).
Proficiency in image and video processing including segmentation pose estimation object detection and multimodal data fusion.
Experience with generative AI models such as diffusion-based text-to-image/video multimodal LLMs and prompt engineering.
Skilled in reading interpreting and applying insights from academic research papers.
Expertise in deep learning frameworks like PyTorch or TensorFlow.
Strong object-oriented programming skills with clean production-quality Python code.
Familiarity with Vision Transformers (ViTs) especially for action recognition object tracking and video understanding tasks.
Cloud deployment experience particularly with AWS.
Excellent communication skills in English (C1 or higher) both written and spoken.
Strong ability to work independently prioritize tasks and manage multiple projects simultaneously.
Nice to Have
Masters or Ph.D. degree in Machine Learning Computer Science Mathematics or a related field. Contributions to open-source ML or CV libraries or participation in Kaggle competitions.
Employment Type
Full Time
