Lead AI/ML Engineer

Job Summary

We are looking for an experienced Lead AI/ML Engineer to drive the design, development, and deployment of scalable AI/ML solutions. The ideal candidate will have strong expertise in machine learning, deep learning, and modern AI technologies including Generative AI and LLMs. This role involves leading a team, defining architecture, and delivering end-to-end AI solutions aligned with business goals.

Key Responsibilities

• Lead the design and development of AI/ML models and systems for real-world applications
• Architect scalable and production-ready ML pipelines and data workflows
• Work on advanced AI areas such as Generative AI, LLMs, NLP, and Computer Vision
• Collaborate with cross-functional teams including product, engineering, and business stakeholders
• Mentor and guide junior AI/ML engineers and data scientists
• Ensure best practices in model development, evaluation, deployment, and monitoring
• Drive model optimization, performance tuning, and scalability improvements
• Stay updated with the latest advancements in AI/ML and implement innovative solutions
• Handle end-to-end lifecycle: data preprocessing, model training, validation, deployment, and monitoring.

Required Skills & Qualifications

• 8-10 years of experience in AI/ML or Data Science roles
• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Hands-on experience with Generative AI, LLMs (e.g., GPT, BERT)
• Solid understanding of Machine Learning, Deep Learning, NLP, and Statistics
• Experience with model deployment (Docker, Kubernetes, REST APIs)
• Strong knowledge of data structures, algorithms, and system design
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
• Strong problem-solving and leadership skills.

Preferred Qualifications

• Experience in building AI-driven products at scale
• Exposure to RAG (Retrieval-Augmented Generation) and vector databases
• Knowledge of LangChain, LlamaIndex, or similar frameworks
• Prior experience in leading teams or projects
• Understanding of CI/CD pipelines for ML systems

Education

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
• PhD is a plus

Soft Skills

• Strong leadership and mentoring ability
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced, dynamic environment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.