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Lead the design, development, testing, and deployment of AI/ML models and solutions.
Define AI/ML strategies and technical roadmaps aligned with business objectives.
Build and optimize machine learning and deep learning models for real-world applications.
Oversee data preprocessing, feature engineering, model training, validation, and evaluation.
Work with algorithms for classification, regression, clustering, and predictive analytics.
Explore and implement Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions.
Develop scalable AI pipelines and production-ready ML applications.
Implement MLOps practices for model deployment, monitoring, versioning, and retraining.
Collaborate with data engineers, software developers, product managers, and business stakeholders.
Mentor and guide AI/ML engineers and ensure high-quality technical delivery.
Monitor model performance, accuracy, scalability, and reliability.
Ensure data privacy, model security, responsible AI practices, and compliance.
Evaluate emerging AI technologies and recommend suitable tools and frameworks.
Communicate project progress, technical insights, and business impact to stakeholders.
Requirements
Strong programming skills in Python.
Expertise in machine learning libraries such as Scikit-learn, TensorFlow, and PyTorch.
Strong understanding of statistics, probability, linear algebra, and optimization.
Experience with data processing and analysis using Pandas, NumPy, and SQL.
Knowledge of deep learning, NLP, and computer vision.
Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
Familiarity with frameworks such as LangChain or LlamaIndex.
Experience with model deployment using FastAPI, Flask, or REST APIs.
Knowledge of MLOps tools, Docker, Kubernetes, and CI/CD pipelines.
Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Strong leadership, problem-solving, communication, and project management skills.
Skills Required
- Strong programming skills in Python
- Expertise with Scikit-learn, TensorFlow, and PyTorch
- Strong understanding of statistics, probability, linear algebra, and optimization
- Experience with data processing and analysis using Pandas, NumPy, and SQL
- Knowledge of deep learning, natural language processing, and computer vision
- Experience with Generative AI, large language models, prompt engineering, and retrieval-augmented generation architectures
- Familiarity with LangChain or LlamaIndex
- Experience deploying models using FastAPI, Flask, or REST APIs
- Knowledge of MLOps tools, Docker, Kubernetes, and CI/CD pipelines
- Familiarity with AWS, Microsoft Azure, or Google Cloud
- Strong leadership, problem-solving, communication, and project management skills
What We Do
Training Basket is a global provider of advanced IT Training and Certification Programs for individuals and organizations. Our primary objective is to bridge the gap between corporations seeking skilled professionals and students aspiring to secure satisfying employment. We strive to create a win-win situation for all stakeholders involved. At Training Basket, we understand the evolving needs of the IT industry and the importance of staying updated with the latest technologies and skills. Our comprehensive IT Certification Courses are designed to equip students and professionals with the knowledge and expertise required to excel in today's competitive job market. Remember, success is not a destination; it's a journey and we are here to walk that path with you. Dare to dream and strive for greatness; together, we will create a future that knows no bounds. Welcome to Training Basket – where passion meets excellence!
Why Work With Us
Industry-Vetted Curriculum: The courses are meticulously designed to provide a comprehensive understanding of the subject matter, ensuring students receive a well-rounded education in their chosen field.
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