Hybrid Analytics Manager

at Ford Motor Company

• Job title: Analytics Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Kubernetes, Numpy, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Chennai, India

About the role

• Lead AI Engineer focused on developing cutting-edge AI/ML solutions tailored for after-sales operations. Guiding a team of AI engineers from ideation to deployment and continuous improvement.

Responsibilities

• Lead, mentor, a team of AI engineers, fostering a collaborative and innovative environment.
• Provide technical guidance and oversight throughout the AI solution development lifecycle.
• Drive best practices in MLOps, model development, testing, and deployment.
• Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.
• Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
• Develop robust, scalable, and production-ready code for AI applications.
• Perform data exploration, feature engineering, model training, evaluation, and optimization.
• Integrate AI solutions with existing enterprise systems and data pipelines.
• Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI solutions.
• Translate complex business problems into well-defined AI/ML technical requirements and architectural designs.
• Identify opportunities to leverage AI to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
• Debug and troubleshoot complex AI systems and data issues.

Requirements

• Doctorate / Bachelor's or Master's degree in Computer Science, Engineering, :Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• 5+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles.
• 2+ years of experience leading or mentoring a small team of engineers or data scientists.
• Strong hands-on programming proficiency in Python (including libraries like TensorFlow, PyTorch, scikit-learn, pandas, numpy).
• Demonstrated experience in designing, building, and deploying machine learning models into production environments.
• Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
• Experience with Natural Language Processing (NLP)/LLM/Gen AI techniques and tools.
• Experience with cloud platforms (e.g., GCP, AWS, Azure) for AI/ML development and deployment.
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Knowledge of causal inference, reinforcement learning, or optimization techniques.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Familiarity with after-sales service operations, customer support systems, or automotive industry data.
• Contributions to open-source projects or a strong portfolio of personal AI/ML projects.