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Trantor - Senior AI Engineer - Machine Learning
7 days ago
Job Description : Senior AI Engineer.
Summary :
- We are looking for a Senior AI Engineer, a seasoned professional with over 7+ years of experience in AI/ML engineering.
- The role primarily focuses on designing, developing, and deploying AI solutions to extract insights from large datasets.
- Strong Python coding skills, expertise in AI/ML libraries, and proficiency with cloud platforms (Microsoft Azure, AWS or GCP) are essential.
- The candidate should possess hands-on experience in data processing, including data cleaning, preprocessing, and feature engineering.
- Additionally, expertise in NLP techniques, large language models, and SQL/NoSQL databases is required.
Must-have Skills :
- Overall 7+ years experience in AI/ML engineering.
- Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g. , TensorFlow, PyTorch, scikit-learn).
- Experience with Data Processing: Hands-on experience with Databricks related to data cleaning, preprocessing, and feature engineering.
Cloud Platforms :
- Must have experience with Microsoft Azure.
- Overall Cloud platform experience 3+ Years.
Machine Learning Models :
- Experience in training, fine-tuning, and deploying machine learning models.
Natural Language Processing (NLP) :
- Expertise in NLP techniques and libraries (e.g., NLTK, SpaCy, transformers), (5 Years experience).
Large Language Models (LLMs) :
- Familiarity with integrating and fine-tuning LLMs, (6month+ experience).
- SQL/NoSQL Databases: Strong experience with databases and data retrieval.
Data Visualization :
- Ability to create meaningful visualizations to communicate insights (e.g, using tools like Power BI, Tableau, Matplotlib, Seaborn).
- Problem-solving Skills : Excellent analytical and problem-solving abilities.
- Communication Skills: Strong written and verbal communication skills to convey technical concepts to non-technical stakeholders.
- The candidate is expected to comply with the company's policies and procedures.
Good-to-have Skills :
Vector Databases :
- Experience working with vector databases for semantic search and similarity matching.
Containerization :
- Experience with containerization technologies like Docker and Kubernetes.
Big Data Tools :
- Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop).
- AI Ethics and Fairness: Understanding of ethical considerations and best practices in AI.
Responsibilities :
- Design, develop, and deploy AI solutions to extract insights from large datasets.
- Work with stakeholders to identify key business problems and determine how AI can address them.
- Implement and optimize machine learning models and algorithms.
- Collaborate with data engineers to ensure data pipelines are robust and scalable.
- Create dashboards and reports to communicate findings to business stakeholders.
- Stay up-to-date with the latest AI trends and technologies to continually enhance solution offerings.
Preferred Qualifications :
- Bachelor's Degree in IT, Computer Science or related field.
- Certifications: Relevant certifications in AI/ML or cloud computing.
- Experience in a domain-specific AI application (Restaurant or Payment or Loyalty or Surveys).
- Microsoft Certified: Azure AI Engineer Associate.
- Exp 7 to 9 years. Remote
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