Gen AI
- Infogain
- 6 - 9 years
- Bengaluru
- 9 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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Infogain is a Silicon Valley headquartered company with software platform engineering and deep domain expertise in the travel, retail, insurance and high technology industries. We accelerate the delivery of digital customer engagement systems using digital technologies such as cloud, mic...
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