Artificial Intelligence Lead

3 weeks ago

Amravati, India Trantor Full time

Job Description: Lead. 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)

 Overall Cloud platform experience 2+ Years

 Machine Learning Models: Experience in training, fine-tuning, and deploying machine learning

models

 Natural Language Processing (NLP): Good in NLP techniques and libraries (e.g., NLTK,

SpaCy, transformers), (5 Years experience)

 Deep learning, Computer vision

 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

 DevOps Knowledge


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

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