with expertise in Large Language Model training, deployment, and optimization to join our cutting-edge AI/ML team. The ideal candidate will have hands-on experience in developing, fine-tuning, and deploying LLM models while building scalable AI solutions. You will work on innovative projects involving natural language processing, computer vision, and generative AI applications that drive business value and enhance user experiences.
As an LLM Engineer, you will collaborate with cross-functional teams to design and implement AI-powered solutions, from research and development to production deployment. This role requires deep technical expertise in machine learning frameworks, cloud platforms, and full-stack development capabilities to create end-to-end AI applications.
Key Responsibilities
LLM Development & Training:
Design, train, and fine-tune Large Language Models for specific business use cases
Implement model optimization techniques including quantization, pruning, and knowledge distillation
Conduct experiments with different architectures and hyperparameter tuning
Evaluate model performance using appropriate metrics and benchmarking techniques
AI/ML Implementation:
Develop and deploy machine learning models using deep learning frameworks (TensorFlow, PyTorch, Hugging Face)
Implement NLP solutions including text classification, sentiment analysis, named entity recognition, and text generation
Build computer vision applications for image recognition, object detection, and image processing
Work with generative AI models and prompt engineering techniques
Full-Stack Development:
Develop web applications using Python frameworks (Flask, Django) to showcase AI capabilities
Design and implement APIs for model serving and integration
Create user interfaces for AI applications with seamless user experiences
Integrate AI models with existing systems and databases
Data Management & Infrastructure:
Design and manage databases for storing training data, model artifacts, and application data
Implement data preprocessing pipelines and feature engineering workflows
Work with SQL databases for data extraction, transformation, and analysis
Ensure data quality, security, and compliance with privacy regulations
Cloud & Deployment:
Deploy ML models on cloud platforms (AWS, Azure, Google Cloud)
Implement MLOps practices for continuous integration and deployment of ML models
Set up monitoring, logging, and performance tracking for production models
Optimize model inference for scalability and cost-effectiveness
Required Skills & QualificationsTechnical Expertise:
3+ years
of hands-on experience in machine learning and AI development
Strong proficiency in
Python
and AI/ML libraries (NumPy, Pandas, Scikit-learn, NLTK, SpaCy)
Extensive experience with
Deep Learning Frameworks
(TensorFlow, PyTorch, Keras)
Proven experience in
LLM training, fine-tuning, and deployment
Expert knowledge in
Natural Language Processing
and
Computer Vision
techniques
Strong
SQL
skills for database management and data analysis
Experience with
Generative AI
and prompt engineering
Proficiency in
Python web frameworks
(Flask, Django)
Hands-on experience with
cloud platforms
(AWS/Azure/Google Cloud)
Full-stack development
capabilities including frontend and backend development
Professional Skills:
Strong problem-solving and analytical thinking abilities
Excellent communication skills and ability to explain complex AI concepts
Experience with version control systems (Git) and collaborative development
Knowledge of software development best practices and agile methodologies
Ability to work independently and manage multiple projects simultaneously
Preferred Qualifications:
Master's degree in Computer Science, AI/ML, or related field
Experience with MLOps tools and practices
Knowledge of containerization (Docker, Kubernetes)
Familiarity with big data technologies (Spark, Hadoop)
Publications or contributions to open-source AI/ML projects
Experience with A/B testing and model evaluation in production environments
Job Type: Full-time
Pay: ₹16,817.97 per month
Work Location: In person
Speak with the employer
+91 8148614356
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