Associate Director – AI/ML Engineering

**Company:** Hiringhood

**Employment Type:** Full Time

**Experience:** 12–15 Years

**No. of Positions:** 1

**CTC:** ₹75–125 LPA

**Location:** Hyderabad, Telangana

**Qualification:** Bachelor's Degree

**Department:** Technology / Data Science

**Office Timings:** 09:00 – 18:00

**Notice Period:** Immediate Joiner

**Onsite Feasibility:** Yes

Job Description

We are seeking an accomplished and visionary Associate Director of AI/ML Engineering to lead the organization’s AI and Machine Learning initiatives. This role is responsible for driving technical excellence, building high-performing teams, and ensuring the successful delivery of AI/ML solutions at enterprise scale. The ideal candidate is a hands-on leader with deep expertise in AI/ML platforms, Generative AI, and MLOps, combined with proven experience managing engineering teams and developing scalable AI systems. This role provides a unique opportunity to shape the AI strategy, foster innovation, and build enterprise-grade AI capabilities that drive business transformation.

Must Have Skills

* Python, R, TensorFlow, PyTorch.

* Expertise in statistical modeling (P1), NLP (P1), deep learning (P1), and reinforcement learning (P2).

* Cloud AI platforms: AWS, Azure, GCP.

* ML pipelines and data architectures.

* Proven experience in building and deploying AI platforms and applications at scale.

* Expertise with frameworks such as TensorFlow, PyTorch, Scikit-learn, and modern LLMs (GPT, BERT, Llama, Claude, Mistral).

* Strong understanding of MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker, Azure ML).

* Proficiency in programming languages such as Python, R, or Scala.

* Hands-on experience with cloud environments (AWS, Azure, GCP).

* Demonstrated success managing cross-functional teams and delivering complex AI/ML projects.

Good to Have Skills

* Generative AI, LLMs, and AI ethics frameworks.

* Expertise on governance, security, and ethical compliance in AI systems.

* Experience in regulated industries such as healthcare, life sciences, or biotechnology.

* Familiarity with AI observability, data governance, and ethical AI frameworks.

* Exposure to cloud-native AI/ML services (Databricks, AWS AI, Azure ML, Google Vertex AI).

* Experience in NLP, computer vision, or reinforcement learning.

* Professional certifications such as:

* Google Professional ML Engineer

* AWS Certified Machine Learning – Specialty

* Azure AI Engineer Associate

* Databricks Certified Generative AI Engineer

Key Responsibilities

Leadership & Talent Development

* Lead, mentor, and grow a high-performing AI/ML engineering team, fostering a culture of learning, innovation, and technical excellence.

* Define and execute a talent strategy focused on recruitment, training, retention, and career development.

* Promote diversity, inclusion, and collaboration within the engineering function.

AI/ML Strategy & Delivery

* Develop and execute the AI/ML engineering roadmap aligned with organizational goals.

* Oversee the end-to-end lifecycle of AI/ML initiatives — from ideation and experimentation to deployment and monitoring.

* Drive the adoption of MLOps best practices including model versioning, testing, CI/CD pipelines, and observability.

* Ensure scalability, security, and compliance in all AI/ML systems and processes.

Collaboration & Evangelism

* Partner with Product, Data Science, and Software Engineering teams to deliver AI solutions that generate measurable business impact.

* Act as an AI/ML evangelist, promoting awareness, education, and adoption of AI technologies across the organization.

* Collaborate with executive leadership to prioritize AI opportunities and ensure alignment with enterprise strategy.

Innovation & Technical Leadership

* Provide hands-on technical guidance in AI/ML frameworks, architectures, and deployment methodologies.

* Lead innovation efforts by exploring emerging technologies such as LLMs, Generative AI, NLP, and autonomous agents.

* Stay updated on AI advancements, tools, and regulatory considerations (e.g., data privacy, ethical AI).

Required Qualifications

* Master’s degree with 12–14 years of experience, or Bachelor’s degree with 14–18 years in Computer Science, AI, ML, or related fields.

* Proven experience in building and deploying AI platforms and applications at scale.

* Expertise with frameworks such as TensorFlow, PyTorch, Scikit-learn, and modern LLMs (GPT, BERT, Llama, Claude, Mistral).

* Strong understanding of MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker, Azure ML).

* Proficiency in programming languages such as Python, R, or Scala.

* Hands-on experience with cloud environments (AWS, Azure, GCP).

* Demonstrated success managing cross-functional teams and delivering complex AI/ML projects.

Preferred Qualifications

* Experience in regulated industries such as healthcare, life sciences, or biotechnology.

* Familiarity with AI observability, data governance, and ethical AI frameworks.

* Exposure to cloud-native AI/ML services (Databricks, AWS AI, Azure ML, Google Vertex AI).

* Experience in NLP, computer vision, or reinforcement learning.

* Professional certifications such as:

* Google Professional ML Engineer

* AWS Certified Machine Learning – Specialty

* Azure AI Engineer Associate

* Databricks Certified Generative AI Engineer

Soft Skills

* Excellent leadership and communication skills, with the ability to translate complex concepts for non-technical stakeholders.

* Strong strategic thinking and problem-solving abilities.

* High initiative, adaptability, and a passion for innovation.

* Ability to inspire, mentor, and guide team members toward success.

Pay: ₹7,500,000.00 - ₹12,500,000.00 per year

Work Location: In person