Gen AI
- Infogain
- 6 - 9 years
- Bengaluru
- 5 months ago
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Job Description
Job Summary:
Provides technical leadership and strategic direction for the AI/ML team. Designs and implements AI/ML solutions that meet business needs and drive innovation.
Job Description:
Key Responsibilities
- Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn
- Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence.
- Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration.
- Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory.
- Implement caching, queuing, and background processing systems to ensure performance and reliability at scale.
- Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions
- Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data.
- Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment
- Collaborate with cross-functional teams to integrate AI solutions into business processes
- Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation
- Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks
Required Skills & Qualifications
- Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers
- Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling
- Practical experience working with and fine-tuning LLMs and foundation models
- Deep understanding of vector search, embeddings, and semantic retrieval techniques.
- Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection
- Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc.
- Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: InfogainLocation(s): Bengaluru+ View Contact
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