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AI/ML Architect @ Agilisium

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 AI/ML Architect

Job Description

Role & responsibilities


As a Data Architect with Generative AI expertise, you will:

  • Design and implement robust data architectures that support AI and machine learning (ML) workloads, including Generative AI applications.
  • Develop and optimize data pipelines for training, validating, and deploying AI models efficiently and securely.
  • Integrate AI frameworks into data platforms, ensuring scalability, low latency, and high throughput.
  • Collaborate with data scientists, AI engineers, and stakeholders to align data strategies with business goals.
  • Lead initiatives to ensure data governance, security, and compliance standards (e.g., GDPR, CCPA) are met in AI-driven environments.
  • Prototype and implement architectures that utilize generative models (e.g., GPT, Stable Diffusion) to enhance business processes.
  • Stay up to date with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations.

Preferred candidate profile

  • A bachelors degree in Computer Science, Data Engineering, or a related field (masters preferred).
  • 5+ years of experience in data architecture, with a focus on AI/ML-enabled systems.
  • Hands-on experience with Generative AI models (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
  • Proficiency in data engineering tools and frameworks, such as Apache Spark, Hadoop, and Kafka.
  • Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Strong understanding of data governance, MLOps, and AI model lifecycle management.
  • Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch.
  • Excellent problem-solving and communication skills, with a demonstrated ability to lead cross-functional teams.

Preferred Skills

  • Familiarity with LLM fine-tuning, prompt engineering, and embedding models.
  • Strong domain expertise in Life Science Industry
  • Experience integrating generative AI solutions into production-level applications.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
  • Expertise in APIs for AI models, such as OpenAI API or Hugging Face Transformers.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Agilisium
Location(s): Chennai

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Keyskills:   Generative Ai Python Kubernetes Tensorflow Agentic Ai LangGraph MLOps Langchain Fast Api AWS SQL

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Agilisium

Agilisium is a Los Angeles based AWS Advanced Consulting Partner with Big Data, EMR and Redshift competency. Agilisium exists to help organizations accelerate their Data-to-Insights-Leap. To this end, Agilisium has invested in all stages of data journey: Data Architecture Consulting, Data Integratio...

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