AI/ML Engineer

2 weeks ago

Gurgaon, India PVAR SERVICES Full time
Job Title: AI/ML EngineerExperience: 3+ yearsBudget: 33 LPALocation: GurgaonIndustry: Tech Product

Position Overview:

We are looking for a skilled and driven AI/ML Engineer to become a key member of our innovative team. The ideal candidate will bring a solid foundation in machine learning, data analytics, and software engineering, and will take charge of developing and implementing cutting-edge AI solutions to tackle complex challenges.

Key Responsibilities:Design, build, and refine deep learning models for Text2SQL, Text-to-Speech (TTS), and image generation tasks.Develop and optimize Generative AI models utilizing frameworks such as GPT, BERT, Anthropic, T5, and more.Work with Generative Adversarial Networks (GANs) like Wav2Lip and LipSync.Knowledge of NVIDIA frameworks, including Triton and Omniverse, is essential.Integrate AI models into various applications, ensuring scalability and high performance.Tailor models for specific industries or scenarios to enhance accuracy and operational efficiency.Stay updated on the latest machine learning and natural language processing (NLP) advancements, including diffusion models for image generation tailored to the fashion industry.Deploy, oversee, and maintain AI solutions in production settings.Ensure AI models align with ethical guidelines and minimize bias.Develop Retrieval-Augmented Generation (RAG)-based systems to improve model performance and information retrieval.Work with diverse database systems, such as vector and graph databases, to support AI functionalities.Apply basic computer vision and image processing techniques to relevant initiatives.Conduct AI model benchmarking using industry-recognized metrics and datasets to measure and improve performance across various tasks.Implement retrieval systems and evaluate them using advanced benchmarks.Analyze and enhance the performance of generative AI models through appropriate benchmarks.Collaborate with data scientists, software developers, and subject matter experts to align AI solutions with business needs.Design custom benchmarks tailored to specific retrieval and generative AI tasks relevant to organizational goals.

Skills and Qualifications:4+ years of experience in AI engineering with a focus on Large Language Models (LLMs) and Generative AI.Proficiency in programming languages such as Python, and frameworks like TensorFlow, PyTorch, and Keras.In-depth experience with training and fine-tuning LLMs (e.g., GPT-3, BERT, T5) and a strong understanding of their architecture.Practical knowledge of NLP techniques and deep learning frameworks.Strong grasp of transformer models and their practical applications.Familiarity with cloud services such as AWS, GCP, or Azure for deploying models.Experience handling large datasets and optimizing models for better performance.Excellent problem-solving and analytical skills.Familiarity with ML Ops practices is an advantage.Strong collaboration and communication abilities.Experience with RAG systems and related knowledge bases.Competency in using various database types, including relational, vector (e.g., Pinecone, Faiss), and graph databases (e.g., Neo4j, Amazon Neptune).Basic skills in computer vision and image processing with libraries such as OpenCV and PIL.

Benchmarking Expertise:Deep understanding of AI benchmarking methods and experience with well-known benchmarks across AI tasks, such as:Natural Language Processing: GLUE, SuperGLUE, SQuADMachine Translation: WMT, BLEU scoreText Summarization: ROUGEImage Classification: ImageNetObject Detection: COCO, Pascal VOCGeneral Language Understanding: MMLU (Massive Multitask Language Understanding)Capability to design and execute custom benchmarks for unique use cases and industry requirements.

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