AI ML Engineer

Posted 2024-11-07

💎 Seniority level: Senior, 5-6 years

📍 Location: India

🔍 Industry: AI and automation

🗣️ Languages: English

⏳ Experience: 5-6 years

🪄 Skills: Machine LearningPyTorchTensorflowCommunication SkillsCollaborationProblem Solving

Master's or Ph.D. in Machine Learning, Natural Language Processing, or related fields.
5-6 years of experience in AI research, NLP, Machine Learning, or related fields.
Deep understanding of NLP AI models and techniques, including models like GPT, T5, BART.
Proficiency with AI/ML frameworks such as PyTorch, TensorFlow, and libraries like Hugging Face Transformers.
Strong problem-solving abilities.
Excellent communication skills and team collaboration.
Familiarity with deployment alongside engineering and MLOps teams.

Stay up-to-date with the latest research in Generative AI, NLP, and related fields.
Implement cutting-edge GenAI techniques to develop innovative solutions.
Build prototypes to test and validate new concepts for business problems.
Fine-tune pre-trained models for domain-specific tasks as needed.
Develop and enhance task runners within the multi-agent framework.
Collaborate with engineering and MLOps teams for model deployment.
Translate complex business problems into defined AI solutions.
Document methodologies and communicate findings to stakeholders.

Posted 2024-11-12

📍 Bangalore

🧭 Full-Time

🔍 Digital Engineering and Modernization

Bachelor’s or master’s degree in computer science, Data Science, or a related field.
5+ years of experience in AI/ML engineering, focusing on data mapping and transformation.
Strong programming skills in Python or another relevant language.
Proven experience with Azure services such as Azure Data Factory, Databricks, Azure ML, Azure Data Lake.
Hands-on experience with Snowflake data warehousing, including data loading, transformation, and querying.
Expertise in developing and implementing machine learning algorithms for data mapping and transformation tasks.
Experience with data quality tools and techniques.
Excellent communication and collaboration skills.

Design, develop, and deploy AI/ML algorithms for automated data mapping and transformation between diverse data sources.
Leverage Azure services (e.g., Azure Data Factory, Databricks, Azure ML, Azure Data Lake) and Snowflake's capabilities to build scalable and efficient data pipelines.
Develop and implement data quality checks and validation rules within the AI/ML pipeline.
Collaborate with data engineers, data analysts, and business stakeholders to ensure successful integration of solutions.
Stay current with the latest advancements in AI/ML and cloud technologies.
Contribute to development and maintenance of technical documentation related to AI/ML solutions.
Mentor junior team members and promote best practices in AI/ML development.

PythonMachine LearningSnowflakeAlgorithmsAzureData scienceCollaborationDocumentation

Posted 2024-11-12

🔧 Requirements