Halma India - Lead AI/ML Engineer - Python

Job Overview :

We are seeking a highly experienced Lead AI/ML Engineer to spearhead the design, development, and deployment of advanced AI and machine learning solutions. This role combines technical leadership with hands-on engineering expertise to build production-ready ML systems that deliver measurable business value. The ideal candidate will be a strategic thinker, an excellent mentor, and a skilled practitioner in machine learning, deep learning, and scalable AI architectures.

Key Responsibilities :

AI/ML Strategy & Leadership :

- Lead the end-to-end development of machine learning solutions, from ideation to deployment.

- Define the AI/ML roadmap and align with organizational goals.

- Mentor, guide, and upskill a team of AI/ML engineers and data scientists.

- Collaborate with product leaders, stakeholders, and executives to identify AI-driven opportunities.

Model Development & Deployment :

- Design, train, validate, and optimize machine learning and deep learning models.

- Implement robust pipelines for data preprocessing, feature engineering, model training, and monitoring.

- Deploy ML models in production using MLOps best practices (CI/CD for ML, retraining pipelines).

- Ensure model scalability, interpretability, and fairness.

System Design & Integration :

- Architect scalable AI/ML solutions integrated with existing backend systems.

- Work with cloud platforms such as AWS, GCP, or Azure for distributed training and deployment.

- Build APIs and services to integrate AI/ML models into customer-facing applications.

Research & Innovation :

- Stay updated with the latest AI/ML research, frameworks, and technologies.

- Experiment with emerging tools and techniques to drive innovation.

- Publish or present findings to strengthen organizational thought leadership in AI.

Qualifications and Skills :

- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD preferred).

- 8 - 12 years of experience in AI/ML engineering, with at least 3 - 4 years in a leadership role.

- Strong proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, or Keras.

- Hands-on experience with NLP, computer vision, recommendation systems, or generative AI models.

- Solid understanding of data engineering, ETL pipelines, and large-scale data processing.

- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

- Proficiency in MLOps practices and tools like MLflow, Kubeflow, Airflow, or SageMaker.

- Strong problem-solving, analytical, and communication skills.