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Altruist Technologies - AI / ML Engineer

Altruist Technologies - AI / ML Engineer

Altriust Technology Pvt.LtdChennai
5 hours ago
Job description

Job Description :

We are seeking a highly skilled and innovative AI / ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role involves transforming complex data into actionable insights and robust, production-ready models across various domains, including NLP, Computer Vision, and predictive analytics.

Key Responsibilities :

Model Development & Implementation :

  • Design and develop AI / ML models from inception to deployment using powerful tools and libraries such as Python, TensorFlow, PyTorch, and scikit-learn.
  • Research, prototype, and implement advanced algorithms in key areas including Natural Language Processing (NLP), Computer Vision (CV), recommendation systems, time-series forecasting, and other forms of predictive analytics.

Data Management & Preprocessing :

  • Collect, clean, and preprocess data from multiple internal and external sources, ensuring data quality, integrity, and readiness for model training.
  • Perform exploratory data analysis (EDA) to derive insights and inform feature engineering strategies.
  • Deployment & MLOps :

  • Collaborate closely with data engineers, software developers, and product teams to seamlessly deploy AI solutions into production environments.
  • Integrate models into existing software systems and define API specifications for model serving.
  • Performance & Optimization :

  • Evaluate model performance rigorously using relevant metrics and continuously optimize models for improved accuracy, efficiency, scalability, and fairness.
  • Establish monitoring strategies for deployed models to detect and address model drift or performance degradation.
  • Research & Documentation :

  • Stay up to date with the latest developments in AI / ML research and technology, assessing their potential application to business challenges.
  • Thoroughly document solutions, methodologies, and best practices for model development and deployment, facilitating knowledge sharing across functional and technical teams.
  • (ref : hirist.tech)

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