Artificial Intelligence/Machine Learning Engineer

3 weeks ago

Gurugram, India PVAR Services Full time

Job Description :


Job Title : AI/ML Engineer.

Experience : 3+ years.

Location : Gurgaon.

Industry : 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., 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., Pinecone, Faiss), and graph databases (e., 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, SQuAD.


- Machine Translation : WMT, BLEU score.

- Text Summarization : ROUGE.

- Image Classification : ImageNet.

- Object Detection : COCO, Pascal VOC.

- General Language Understanding : MMLU (Massive Multitask Language Understanding).

- Capability to design and execute custom benchmarks for unique use cases and industry requirements.

(ref:hirist.tech)

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