Machine learning
6 days ago
Job Description: Machine Learning & Generative AI Engineer Role: Machine Learning & Generative AI Engineer Job Location: Bangalore (Hybrid – 2-3 days from office) Experience: 3-7 years We value diverse perspectives and encourage applications from women in technology About the Role We are seeking a highly skilled Machine Learning & Generative AI Engineer to design, build, and deploy advanced ML and Gen AI solutions. This role provides the opportunity to work on cutting-edge AI technologies such as LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG) , and enterprise-scale ML systems. The ideal candidate will combine strong technical expertise with innovative thinking to deliver impactful AI solutions aligned with business needs. Required Skills & Qualifications · 3–7 years of experience in Machine Learning, Deep Learning, and AI model development · Strong proficiency in Python and ML frameworks: Py Torch, Tensor Flow, Scikit-Learn, MLflow · Expertise in Transformer architectures (BERT, GPT, T5, LLa MA, Falcon, etc.) and attention mechanisms · Hands-on experience with Generative AI : LLM fine-tuning (Lo RA, QLo RA, PEFT, full model tuning), instruction tuning, and prompt optimization · Experience with RAG pipelines – embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows · Strong foundation in statistics, probability, and optimization techniques · Proficiency with cloud ML platforms (Azure ML / Azure Open AI, AWS Sage Maker / Bedrock, GCP Vertex AI)· Familiarity with Big Data & Data Engineering : Spark, Hadoop, Databricks, SQL/No SQL databases · Hands-on experience with CI/CD, MLOps, and automation pipelines (Airflow, Kubeflow, MLflow)· Experience with Docker, Kubernetes for scalable ML/LLM deployment Preferred Qualifications · Experience in NLP & Computer Vision (Transformers, BERT/GPT models, YOLO, Open CV)· Knowledge of vector search & embeddings for enterprise-scale Gen AI solutions · Exposure to multimodal AI (text + image/video/audio) and Edge AI / federated learning · Familiarity with RLHF (Reinforcement Learning with Human Feedback) for LLMs · Understanding of real-time ML applications and low-latency model serving Key Responsibilities · Design, build, and deploy end-to-end ML pipelines including data preprocessing, feature engineering, model training, and deployment · Develop and optimize LLM-based solutions leveraging Transformer architectures for enterprise applications · Implement RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs · Fine-tune LLMs on custom datasets (text corpora, Q& A, conversational data, structured-to-text) for specialized tasks · Ensure scalable deployment of ML & LLM models on cloud environments with monitoring, versioning, and performance optimization · Collaborate with data scientists, domain experts, and software engineers to deliver AI-driven business impact What We’re Looking For Beyond technical skills, the ideal candidate should excel in: · Real-world AI application & deployment · Prompt engineering & model evaluation · Fine-tuning & customization of LLMs · Understanding of LLM internals & ecosystem tools · Creativity, problem-solving & innovation · Business alignment, security, and ethical AI practices Integers. Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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