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Job Title
ML Engineer at Alle, based out of Bengaluru - Onsite Role
Company Details
Alle is building an AI-powered digital assistant that helps consumers with their lifestyle goals (shopping, travel, entertainment, inspiration etc.) across the information they curate online (screenshots, links, notes etc.).
Job Roles & Responsibilities
- Built recommendation systems from scratch and to a large scale.
- Develop and deploy machine learning models using PyTorch and TensorFlow to enhance organizational tools.
- Collaborate with cross-functional teams to transform ideas into actionable AI solutions.
- Optimize ML model performance and scalability for seamless integration with existing systems.
- Stay updated with the latest trends in AI/ML to propose innovative features.
- Troubleshoot and resolve issues related to ML interference in production environments.
- Contribute to improving the efficiency and effectiveness of the organization's AI-driven applications.
- Mentor junior engineers and share best practices in AI/ML development.
- Ensure a smooth transition from model development to deployment in collaboration with the ops team.
Cultural Expectations
- Embrace a fast-paced environment and adapt quickly to changes.
- Collaborate effectively within cross-functional teams to drive innovation.
- Encourage creative problem-solving and think outside the box.
- Maintain a proactive attitude and prioritize tasks efficiently.
- Communicate openly and effectively to foster a transparent work culture.
Hiring Process
R1 Profile shortlisting
R2 Tech interview
R3 Assignment
R4 General Culture fit
Job ID: 116682183
Skills:
Tensorflow, Numpy, Pytorch, Python, AWS, Scipy, Sql, React, Pandas, Gcp, Keras, Rest Apis, Azure, RNNs, Deep Learning architectures, CNNs, LLM APIs, Chain-of-Thought, distributed data processing frameworks, open-weight open-source models, classical ML algorithms, hybrid search techniques, Few-shot prompting, Vector Stores, Transformers, Advanced Prompt Engineering techniques
Skills:
BigQuery, Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, MLops, Docker, XGBoost, Flask, Keras, Python, Scikit-learn, GCP Vertex AI, Gemini, CatBoost
Skills:
Tensorflow, Pytorch, Docker, Apache Spark, Kubernetes, Python, AWS SageMaker, Scikit-learn, MLflow
Skills:
Apis, Tensorflow, Pytorch, Python, data preprocessing, scikit-learn, model training, fairness, model deployment, bias detection, reliability in AI systems, feature engineering, cloud ML platforms, containerized environments, evaluation metrics
Skills:
Git, Pytorch, Linux, Python, Cuda, NVIDIA, AMD, Intel
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