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62 Visionet Systems Jobs
Lead - Gen AI Engineer
Visionet Systems
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- B.E/BTech/M.C.A with 3-8 years of IT experience as solution architect / data scientist / ML Architect for large corporate/organizations
- Strong foundation in machine learning, deep learning, and neural networks.
- Solid understanding of data preprocessing, feature extraction, and model evaluation.
- Experience in training and optimizing neural networks on large datasets.
- Experience with cloud computing platforms like Azure for building and deploying Generative AI solutions
- Hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
- Hands-on experience in Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow etc.
- Hands-on experiences on Vector Databases (e.g. Azure AI Search Milvus , Weaviate, ChromaDB, Pinecone, or other vector stores)
- Strong problem-solving skills and a creative mindset.
- Excellent communication, presentation skills and teamwork abilities.
- As a Generative AI Engineer / Lead , you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and systems
- Design, develop, and implement cutting-edge Generative AI solutions, including Multi-Modal Retrieval-Augmented Generation (RAG) systems using Azure native technologies
- Build and deploy Generative AI solutions in production environments, ensuring scalability, reliability and efficiency of the deployed models
- Prepare and pre-process datasets to be used for training generative models. Apply techniques such as data augmentation, normalization, and transformation to ensure optimal model performance.
- Train generative models on large-scale datasets using appropriate frameworks and libraries. Optimize models for efficiency, speed, and quality of generated output.
- Fine-tune model hyper parameters to achieve optimal performance, balancing factors such as convergence speed, stability, and output diversity.
- Develop and implement metrics to evaluate the quality, diversity, and novelty of generated content. Continuously iterate on models to improve these metrics.
- Good understanding of Multi-Agent System design, including Multi agent Design patterns communication protocols, task orchestration strategies , Memory management
- Expertise in Python and Generative AI frameworks (e.g., PyTorch, TensorFlow, LangChain, LangGraph , Vector Database - Azure AI search , Milvus , Weaviate . LLM- GPT, Llama , Anthropic ).
- Knowledge of internal working of Large Language Models , Transformer Based Models
- Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
Employment Type: Full Time, Permanent
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What people at Visionet Systems are saying
AI Engineer salary at Visionet Systems
reported by
3
employees
with 2-3
years exp.
₹9
L/yr - ₹12
L/yr
16%
less
than the average AI Engineer Salary in India
View more details
What Visionet Systems employees are saying about work life
based on 826 employees
Flexible timing
Monday to Friday
No travel
Night Shift
Visionet Systems Benefits
View more benefits
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