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Amantya Technolgies - Artificial Intelligence/Machine Learning Engineer
Amantya Technolgies - Artificial Intelligence/Machine Learning EngineerAmantya Technologies • Gurugram
Amantya Technolgies - Artificial Intelligence / Machine Learning Engineer

Amantya Technolgies - Artificial Intelligence / Machine Learning Engineer

Amantya Technologies • Gurugram
30+ days ago
Job description

Description : Key Qualifications :

Technical Skills :

  • Strong Work Experience of 2-5 years in AI domain
  • Strong programming skills in Python (preferred), with proficiency in libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of ML operations (MLOps) and experience in deploying models in production environments.
  • Solid understanding of traditional ML models (e.g., regression, SVM, decision trees, random forests).
  • Exposure to large language models (e.g., OpenAI GPT, Llama, BERT) and fine-tuning techniques.
  • Familiarity with NLP techniques, transformers, and generative AI models.

Data Expertise :

  • Hands-on experience with data cleanup, preprocessing, and feature engineering.
  • Proficiency with data handling tools such as Pandas, NumPy, and SQL.
  • Architecture and Systems :

  • Understanding of software architecture and experience contributing to system design.
  • Knowledge of CI / CD pipelines for AI / ML projects.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) would be a big plus .
  • Soft Skills :

  • Strong analytical and problem-solving abilities.
  • Excellent communication skills with the ability to present ideas effectively.
  • Proven ability to work collaboratively in a team-oriented environment.
  • Education :

  • B.Tech / M.Tech / MCA in first Class (CS / IT / ECE) From Tier 1 College
  • Key Responsibilities :

    AI / ML Development :

  • Design, implement, and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.
  • Develop and fine-tune traditional machine learning models and integrate them into production systems.
  • Work on cutting-edge projects involving LLMs, including prompt engineering, fine-tuning, and inference optimization.
  • Data Engineering :

  • Perform data cleanup and preprocessing, ensuring data quality and consistency.
  • Develop and implement feature engineering pipelines to enhance model performance.
  • Collaborate with data engineers to manage large-scale datasets efficiently.
  • Software Development :

  • Write clean, maintainable, and efficient code in programming languages such as Python, or Go.
  • Build scalable, robust, and maintainable solutions for AI / ML models and their deployment.
  • Contribute to architecture design and participate in code reviews to ensure best practices.
  • Collaboration and Communication :

  • Clearly communicate technical concepts and progress to both technical and non-technical stakeholders.
  • Act as a team player, contributing to a collaborative and innovative work environment.
  • Continuous Learning :

  • Stay updated on the latest developments in AI / ML, including advancements in LLMs and model optimization techniques.
  • Explore and evaluate emerging AI tools and technologies for potential integration into workflows.
  • (ref : hirist.tech)

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    Artificial Learning • Gurugram

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