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Ai Ml Engineer

2 weeks ago

Ahmedabad, Gujarat, India Ahura Web Services Full time US$ 1,20,000 - US$ 2,00,000 per year

Job description

We're seeking an experienced AI/ML Engineer who thrives on curiosity and innovation to join our dynamic engineering team. This role offers an exciting chance to tackle impactful real-world machine learning challenges and play a key part in developing advanced, state-of-the-art AI solutions.

Experience in developing Generative AI models

Role & responsibilities :

Architect, train, fine-tune, andstill LLMs and deep-learning models for NLP, generative AI, and agentic AI applications.

  • Assist in designing, developing, and training machine learning models using structured and unstructured data
  • Conduct thorough testing, evaluation, benchmarking, and validation to ensure performance and robustness
  • Deploy models into production using MLOps pipelines (CI/CD, versioning, monitoring)
  • Optimize models and inference pipelines for latency, throughput, and compute efficiency
  • Mentor junior engineers and collaborate cross-functionally with data engineers, DevOps, product managers
  • Curate, cleanse, and transform extensive datasets to prepare them for robust model development.
  • Conduct insightful exploratory data analysis and apply advanced statistical modeling techniques.
  • Execute systematic experiments, optimize hyperparameters, and rigorously assess models using established performance metrics.
  • Maintain comprehensive documentation detailing model architectures, data pipelines, and experimental outcomes.
  • Develop and integrate AI-enhanced tools including web-search functionalities, intelligent image editing, and related applications.
  • Support in integrating AI/ML models into production environments

Skill Sets We Require-

  • Frameworks: PyTorch (latest, including TorchDynamo), TensorFlow 2.x
  • Finetuning & Distillation: Implement teacherstudent training, supervised finetuning, responsebased distillation and Transorfermers.
  • Model Lifecycle
  • Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy.
  • Understanding of probability, statistics, and linear algebra
  • APIs & Storage: RESTful APIs, ONNX, SQL/NoSQL databases, S3 Buckets.
  • CI/CD: Git, GitHub Actions, Docker Registry, automated testing & deployment (Good to have)

Required Qualifications-

  • Btech/BE in Computer Science or Equivalent Field
  • 4+ years of hands-on experience in training, tuning, and deploying LLMs and deep-learning models.
  • Proficient with PyTorch, Transformer frameworks