Senior Artificial Intelligence/Machine Learning Engineer

4 weeks ago

Bengaluru, Karnataka, India Nasugroup Full time

We are seeking a highly skilled and motivated Senior AI/ML Developer to join our team in Bangalore. This role is ideal for professionals with 4 to 5 years of hands-on experience in core AI/ML development who are passionate about building scalable and impactful machine learning solutions. As a Senior Developer, you will play a critical role in designing, developing, and deploying advanced models that directly drive business outcomes. You will work closely with cross-functional teams, mentor junior engineers, and stay at the forefront of emerging technologies in the AI/ML Design, develop, and implement machine learning models and algorithms.

- Create new models from scratch based on business requirements and data.

- Train, fine-tune, and evaluate machine learning models to ensure optimal performance.

- Deploy machine learning models into production environments.

- Measure and analyze the performance of machine learning models using metrics such as accuracy, precision, recall, F1 score, and ROC-AUC etc, and iteratively optimize models to meet business objectives.

- Conduct performance benchmarking and testing for deployed models, ensuring reliability and scalability in production environments.

- Collaborate with cross-functional teams to understand business needs and provide AI/ML solutions.

- Optimize and improve performance of existing models.

- Conduct research to identify new methodologies for applying AI/ML within the organization.

- Mentor junior engineers and provide technical guidance.

- Stay updated with the latest advancements in AI/ML technologies and methodologies.

Technical Skills:

- Machine Learning: Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

- Model Development: Experience in developing machine learning models from scratch, including data preprocessing, feature engineering, and model selection.

- Deep Learning: Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.

- Natural Language Processing and generation: Experience with NLP techniques and tools, including large language models (LLMs) like GPT, BERT, llama etc.

- Programming: Proficiency in Python and familiarity with other languages such as Java or C++ is a plus.

- Tools and Libraries: Experience with ML libraries and tools such as Scikit-learn, Pandas, NumPy, and SciPy.

- Cloud Platforms: Experience with cloud-based ML platforms such as AWS SageMaker, Google Cloud AI, or Azure ML.

- MLOps: Knowledge of MLOps practices for model versioning, monitoring, and continuous integration/continuous deployment (CI/CD).

- Visualization: Proficiency with data visualization tools such as Matplotlib, Seaborn, or Tableau.

- Hugging Face: Familiarity with Hugging Faces ecosystem, including Transformers library for pre-trained models, datasets library for handling and processing datasets, and the Model Hub for sharing and discovering models.

(ref:hirist.tech)

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