
AI Model Developer
2 days ago
We are seeking a skilled Machine Learning/AI Engineer to join our team. The ideal candidate will have hands-on experience working with advanced AI models, modern ML frameworks, and cloud-native environments.
The selected individual should be proficient in designing, developing, and optimizing machine learning and deep learning models for supervised, unsupervised, and reinforcement learning use cases.
Key Responsibilities:- Develop and optimize machine learning and deep learning models.
- Implement feature engineering, data preprocessing pipelines, and advanced techniques such as embeddings, transfer learning, and dimensionality reduction.
- Deploy ML models at scale using Docker, Kubernetes, or other suitable tools.
The ideal candidate should possess the following skills and qualifications:
- 4+ years of hands-on experience in ML/AI model development and deployment.
- Strong programming skills in Python with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, Hugging Face Transformers.
- Proficiency in data manipulation tools (Pandas, NumPy, Spark, Dask).
- Hands-on expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML offerings.
- Experience with MLOps tools: MLflow, Kubeflow, Airflow, or Vertex AI.
- Knowledge of DevOps practices: Docker, Kubernetes, Git, CI/CD pipelines.
- Strong understanding of statistics, probability, linear algebra, and optimization methods.
This role offers a unique opportunity to work on cutting-edge AI/ML projects and collaborate with cross-functional teams to design AI-driven solutions.
OthersCandidates with experience in Generative AI, LLMs, and advanced NLP techniques will be given preference.
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