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, NLP, and computer vision
- Experience with Generative AI, LLMs, prompt engineering, and RAG 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 Noida-based edtech platform that provides advanced IT training and certification to individuals and organizations worldwide. It offers online and offline learning in technology fields including networking, operating systems, cloud computing, programming, and coding. Its courses emphasize industry-relevant skills and career readiness, with instructor-led classes, practical projects, recognized certificates, and placement support. The company’s mission is to bridge the gap between education and industry.
_0.jpg)
