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Artificial Intelligence / Machine Learning Architect

Artificial Intelligence / Machine Learning Architect

Adept Consulting PartnersMumbai
24 days ago
Job description

The Role :

We are seeking a seasoned and visionary Principal Architect with a deep specialization in Artificial Intelligence and Machine Learning to join our leadership team.

This is a highly strategic role for an individual with over 15 years of technical experience in designing, building, and scaling complex, enterprise-level AI / ML systems.

You will be the technical beacon, responsible for defining the architectural direction and ensuring our AI / ML strategy aligns seamlessly with our business goals.

You will provide technical mentorship to a team of data scientists and ML engineers, ensuring the robustness, scalability, and security of our entire technology Responsibilities :

  • Architectural Vision & Strategy : Define and own the long-term architectural roadmap for our AI / ML platform.
  • Propose and lead the adoption of new technologies and methodologies to stay ahead of industry trends in machine learning.
  • ML System Design & Governance : Design and govern highly scalable, reliable, and performant systems for data ingestion, feature engineering, model training, and serving.
  • This includes defining MLOps pipelines and ensuring model governance.
  • Technical Leadership & Mentorship : Act as a technical expert and hands-on leader, mentoring and guiding data scientists and ML engineers.
  • Foster a culture of technical excellence and help the team solve the most complex AI / ML challenges.
  • Cross-Functional Collaboration : Work closely with product management, business stakeholders, data science teams, and engineering teams to translate business requirements into viable, production-ready AI / ML solutions.
  • Innovation & Research : Stay current with emerging AI / ML technologies and research, evaluate their potential impact, and lead proof-of-concept projects to validate new algorithms, frameworks, and architectural patterns.
  • Quality & Reliability : Ensure non-functional requirements such as security, reliability, scalability, and maintainability are built into the AI / ML architecture.
  • Implement systems for continuous model monitoring, drift detection, and Qualifications :
  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 15+ years of total experience in software development, with a minimum of 5- 7 years in a dedicated Software Architect or Principal Engineer role focused on AI / ML or data-intensive systems.
  • Proven experience in designing and implementing large-scale, distributed machine learning systems, data pipelines, and MLOps architectures.
  • Expertise in at least one major cloud platform (AWS, Azure, or GCP), with strong hands-on experience in

their respective AI / ML services (e.g., AWS SageMaker, GCP Vertex AI, Azure Machine Learning).

  • Deep knowledge of machine learning algorithms, statistical modeling, and system design patterns for AI / ML.
  • Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong leadership and problem-solving skills, with a track record of successfully leading engineering teams through major technical Qualifications :
  • Experience with a diverse technology stack including Python, PyTorch / TensorFlow, Kubernetes, Spark, Kafka, and data warehouses like Snowflake or Google BigQuery.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC.
  • Relevant professional certifications (e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer).
  • Active participation in the open-source community, blogs, or technical conferences

    • (ref : hirist.tech)

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