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Antino Labs - AI / ML Engineer - Data Modeling

Antino Labs - AI / ML Engineer - Data Modeling

Antino Labs Private LimitedIndia
30+ days ago
Job description

Key Responsibilities :

  • Lead the design and development of scalable AI / ML solutions across diverse enterprise use cases.
  • Architect robust data pipelines, model training workflows, and deployment strategies aligned with MLOps best practices.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Prototype and evaluate a range of AI models, including traditional machine learning, deep learning, and generative AI architectures.
  • Define and implement rigorous testing, validation, and monitoring frameworks to ensure model performance and reliability.
  • Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Stay current with the latest AI tools and technologies and identify opportunities to leverage them in current and future projects.
  • Set strategic goals, define project milestones, and ensure timely delivery of AI projects aligned with initiative objectives.
  • Ensure the teams compliance to Zeniths ethical, privacy, regulatory, and quality standards.

Qualifications :

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
  • 5+ years experience in AI / ML engineering or data science roles, with 2+ years experience in technical or team leadership roles.
  • Proven experience successfully leading AI and ML projects from concept to production.
  • Strong programming skills in Python and experience with ML algorithms, tools, and frameworks (e. Scikit-learn, SciPy, PyTorch).
  • Experience cloud-based AI / ML services (AWS, GCP, or Azure).
  • Experience working cross-functionally with, and ability to influence, product, engineering, and business stakeholders.
  • Excellent problem-solving and analytical skills.
  • Effective communication and strong leadership abilities.
  • Comfortable working with ambiguous or evolving requirements in a fast-paced environment.
  • Desired Skills :

  • Hands-on experience deploying GenAI systems in Microsoft Azure, including Azure Foundry and Azure AI Search.
  • Experience with prompt engineering and prompt lifecycle management.
  • Proficiency in Java and SQL.
  • Familiarity with big data technologies (e. PySpark, Hadoop).
  • Understanding of LLM architectures such as Transformers and Auto-Encoders.
  • Experience with LLM frameworks such as LangChain and Hugging Face Transformers.
  • Knowledge of AI ethics and data privacy regulations.
  • Strong project management skills with the ability to manage multiple initiatives simultaneously
  • (ref : hirist.tech)

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