Director – Artificial Intelligence / Machine Learning

Company: Hiringhood

Employment Type: Full Time

Experience: 8–12 Years

No. of Positions: 1

CTC: ₹65–110 LPA

Location: Hyderabad, Telangana

Qualification: Bachelor's Degree

Office Timings: 09:00 – 18:00

Notice Period: Immediate Joiner

Onsite Feasibility: Yes

We are seeking an experienced and visionary Director of Artificial Intelligence to lead our AI/ML initiatives and drive innovation through data-driven and generative AI solutions. The ideal candidate will have a strong background in AI/ML, GenAI, causal inference, Bayesian modeling, and agentic AI systems, along with proven leadership experience in managing high-performing technical teams. As the Director of AI/ML, you will guide the end-to-end AI strategy, from research and experimentation to deployment and scaling of production-grade models. You will collaborate closely with cross-functional teams in Engineering, Product, and Data to build intelligent, consumer-focused solutions that deliver measurable business impact. This role requires a hands-on technical leader who thrives in a fast-paced environment and is passionate about advancing AI capabilities across the organization.

Must Have Skills

* AI/ML/Data Science.

- Generative AI.
- LLMs, prompt engineering, neural network architectures.
- Python, PyTorch, FastAI, and related ML frameworks.
- Agentic AI systems, multi-component prompting (MCPs).
- Bayesian modeling and reinforcement learning.
- AWS, GCP, Azure.
- Tools – Git, CodeRabbit, Cursor.
- 8+ years of experience in AI/ML/Data Science, with at least 2+ years in Generative AI product development.
- Deep expertise in LLMs, fine-tuning, prompt engineering, and neural network architectures.
- Strong understanding of agentic AI systems, multi-component prompting (MCPs), and autonomous workflow orchestration.




- Proven experience in causal inference, Bayesian modeling, and reinforcement learning.
- Experience deploying and managing production workloads on AWS, GCP, Azure, or similar cloud platforms.
- Knowledge of model evaluation, benchmarking standards, and performance optimization.
- Proficiency in modern development tools – Git, code review platforms (e.g., CodeRabbit, Cursor), and agile practices.
- Excellent problem-solving, analytical, and communication skills.

Positive to Have Skills

* AI ethics, governance, and compliance frameworks.
- Data pipelines, MLOps.
- Familiarity with healthcare or other regulated industries is an advantage.
- Experience leading cross-functional AI strategy at an organizational level.
- Strong understanding of data pipelines, MLOps, and scalable model deployment architectures.
- Demonstrated success in mentoring and building high-performing AI teams.

Key Responsibilities

* Define and execute the organization’s AI/ML strategy and roadmap, aligning with business objectives.
- Lead and mentor a team of AI/ML engineers and data scientists to design, develop, and deploy scalable AI solutions.
- Drive innovation using Generative AI, LLMs, and agentic AI frameworks to enhance automation and product capabilities.
- Oversee model lifecycle management — from data collection and model training to deployment, optimization, and monitoring.
- Collaborate with Product and Engineering teams to integrate AI capabilities into production-grade applications.




- Ensure AI models meet industry standards for accuracy, fairness, explainability, and compliance.
- Foster a culture of experimentation, innovation, and continuous learning within the AI team.
- Partner with leadership to evaluate and adopt emerging AI technologies and tools.
- Contribute to strategic decision-making by providing insights derived from advanced analytics and causal inference models.

Required Skills & Experience

* 8+ years of experience in AI/ML/Data Science, with at least 2+ years in Generative AI product development.
- Deep expertise in LLMs, fine-tuning, prompt engineering, and neural network architectures.
- Hands-on experience with Python, PyTorch, FastAI, and related ML frameworks.
- Strong understanding of agentic AI systems, multi-component prompting (MCPs), and autonomous workflow orchestration.
- Proven experience in causal inference, Bayesian modeling, and reinforcement learning.
- Experience deploying and managing production workloads on AWS, GCP, Azure, or similar cloud platforms.
- Knowledge of model evaluation, benchmarking standards, and performance optimization.
- Familiarity with healthcare or other regulated industries is an advantage.
- Proficiency in modern development tools – Git, code review platforms (e.g., CodeRabbit, Cursor), and agile practices.
- Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

* Experience leading cross-functional AI strategy at an organizational level.
- Exposure to AI ethics, governance, and compliance frameworks.
- Strong understanding of data pipelines, MLOps, and scalable model deployment architectures.
- Demonstrated success in mentoring and building high-performing AI teams.

Pay: ₹6,500,000.00 - ₹11,000,000.00 per month

Work Location: In person

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