Lead / Senior Machine Learning Engineer

7 days ago

Lahore, Punjab, Pakistan Tkxel Full time $120,000 - $200,000 per year

About the Role
Tkxel is seeking a
Lead/Senior Machine Learning Engineer
with advanced hands-on expertise across the Machine Learning spectrum—including classical ML, Time Series Analysis, Deep Learning, Computer Vision, NLP, and Agentic AI systems. In this strategic leadership role, you'll drive end-to-end development and deployment of innovative LLM and ML solutions, manage high-performing teams, and collaborate deeply with research and product leaders to transform state-of-the-art AI into business value.

Key Responsibilities

  • Lead, mentor, and inspire a cross-functional team of ML engineers, data scientists, and MLOps experts.
  • Architect and oversee the lifecycle of advanced ML/LLM projects—from data acquisition, pre-processing, classical modeling, and deep learning to robust production deployment.
  • Drive initiatives in Agentic AI, Time Series Forecasting, Computer Vision, and NLP, championing best practices for each domain.
  • Collaborate closely across Research, Product, and Infrastructure teams to define objectives, timelines, and measurable success metrics.
  • Set technical direction in large-scale model training, distributed systems, model optimization, and ML infrastructure design.
  • Ensure adoption of MLOps best practices including experiment tracking, governance, CI/CD, automated testing, and model monitoring.
  • Manage and optimize compute resources (GPU/TPU), budgets, and enforce responsible AI standards with a focus on security and compliance.
  • Communicate technical visions, project milestones, risks, and insights to both technical and non-technical stakeholders with clarity and impact.

Required Skills & Qualifications

  • 5+ years hands-on experience in Machine Learning (including classical ML, time series, deep learning, NLP, and Computer Vision).
  • Advanced knowledge of LLMs, Transformers, and modern deep learning architectures.
  • Proven leadership managing and scaling teams delivering high-impact ML/LLM solutions.
  • Extensive experience with frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face, DeepSpeed.
  • Deep understanding of MLOps tools (MLflow, Kubeflow, Vertex AI) and cloud platforms (AWS, GCP, Azure).
  • Demonstrated expertise in distributed training, GPU/TPU optimization, and agentic AI workflows.
  • Strong coding skills. Comfortable optimizing pipelines and delivering proof-of-concepts to production.
  • Track record of successful cross-functional collaboration and exceptional communication.
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Preferred / Nice to Have

  • Experience building, fine-tuning, or scaling foundation models/LLMs.
  • Contributions to open-source ML/LLM frameworks or libraries.
  • Demonstrated understanding of Responsible AI, bias mitigation, model interpretability, and fairness.
  • Prior success in deploying time series, agentic AI, or computer vision systems at scale.

Why Tkxel?
Join a cutting-edge environment pushing the boundaries of applied AI, with global impact and an organizational culture deeply committed to innovation, collaboration, and continuous learning.

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