Job Title : Engineering Manager AI/ML

Location : Hyderabad, Telangana

Experience : 8 - 12 years in Software Engineering / AI / Machine Learning

Employment Type : Full-time, Permanent

About the Role :

We are looking for an experienced Engineering Manager AI/ML to lead a team of talented engineers and data scientists in developing scalable, production-grade AI and machine learning solutions. The ideal candidate combines solid technical expertise with people leadership, fostering collaboration, innovation, and operational excellence.

In this role, you will drive end-to-end AI/ML product delivery from architecture and experimentation to deployment and monitoring while building a high-performing engineering culture that aligns with organizational goals.

Key Responsibilities :

- Lead and mentor a team of AI/ML engineers, data scientists, and MLOps specialists.
- Oversee the design, development, and deployment of machine learning and AI-powered systems at scale.
- Collaborate with cross-functional teams (Product, Data, Cloud, and Engineering) to translate business problems into technical solutions.
- Establish and enforce best practices for software development, MLOps, and model governance.
- Drive technical excellence through architecture reviews, code quality, and robust testing standards.
- Manage project delivery timelines, priorities, and stakeholder expectations.
- Foster a culture of innovation, continuous learning, and collaboration within the AI/ML engineering team.
- Stay current with emerging AI technologies,



frameworks, and tools to enhance capabilities and performance.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.
- 8 - 12 years of total experience, with at least 3+ years in a technical leadership or people management role.
- Proven experience designing, developing, and deploying AI/ML or data-driven applications in production.
- Strong programming background in Python, with hands-on experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, SageMaker, etc.).
- Deep understanding of model lifecycle management, CI/CD pipelines, and data versioning.
- Excellent problem-solving and analytical skills, with the ability to make data-driven decisions.

Preferred Qualifications :

- Experience working with Generative AI, LLMs, or NLP solutions.
- Exposure to data engineering and cloud-native AI platforms (Databricks, Azure ML, Vertex AI).
- Knowledge of AI governance, compliance, and ethical AI practices.
- Strong understanding of Agile methodologies and project management principles.

Soft Skills :

- Proven ability to lead, motivate, and develop engineering teams.
- Strong communication and stakeholder management skills.
- Ability to balance technical depth with strategic leadership.
- Proactive, adaptable, and comfortable working in a fast-paced environment.

📌 Engineering Manager - AI/ML (India)
🏢 Starvoke Consultancy Services
📍 India