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Director of Engineering - AI / ML Platform

Director of Engineering - AI / ML Platform

Catalyst IQMumbai
3 days ago
Job description

Job Description :

Key Responsibilities :

  • Build, mentor, and lead high-performing engineering teams across AI, platform, and infrastructure domains.
  • Define and implement the technical vision, architecture, and roadmap to support scalable, reliable, and high-performance systems.
  • Oversee the design and development of low-latency voice AI systems, integrating ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs (Large Language Models), and NLP (Natural Language Processing) components.
  • Collaborate closely with Product, Data Science, and Design teams to develop and deliver AI-powered applications that enhance customer experiences.
  • Establish and enforce engineering best practices, including coding standards, architecture reviews, and continuous improvement frameworks.
  • Ensure high availability, reliability, and scalability of systems and infrastructure through robust design and proactive monitoring.
  • Foster a culture of accountability, innovation, and knowledge sharing within the engineering organization.
  • Drive cross-functional alignment, balancing technical trade-offs and business objectives effectively.

Required Qualifications :

  • Minimum 12 years of experience in software engineering, with at least 6 years in engineering leadership, including managing managers and multiple teams.
  • Demonstrated experience scaling complex technology platforms across different stages of growth.
  • Strong technical background in distributed systems, data pipelines, or AI / ML-based products.
  • Hands-on understanding of speech analytics, conversational AI, or large-scale SaaS platforms.
  • Proficiency in cloud environments (AWS, Azure, or GCP) and microservices-based architectures.
  • Experience leading teams working with data engineering, ML models, and real-time streaming systems.
  • Proven ability to build and mentor engineering teams, set performance goals, and develop leadership talent.
  • Excellent communication, organizational, and decision-making skills.

    • Preferred Qualifications :

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field. Alumni from IIT, NIT, BITS, or equivalent premier engineering institutes are preferred.
  • Experience in AI / ML platform development, with a focus on large-scale deployment and optimization.
  • Familiarity with modern technology stacks, including : Python, Go, FastAPI, Kafka, LangChain, PyTorch, TensorFlow, Redis, PostgreSQL, Kubernetes, and AWS / GCP.
  • Track record of leading high-impact engineering initiatives and delivering measurable business outcomes.

    • Key Attributes :

  • Technically strong, with the ability to make informed architectural and design decisions.
  • Strategic thinker with a structured approach to scaling teams and systems.
  • Strong leadership presence with a focus on collaboration and continuous improvement.
  • Deep commitment to engineering excellence, team growth, and customer-centric innovation.

    • (ref : hirist.tech)

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    Director Of Engineering • Mumbai