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    Home/Jobs/AIML Engineer

    AIML Engineer

    Actalent

    Chennai
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    GPT
    Transformers
    Hugging Face
    BERT
    T5
    PyTorch
    TensorFlow
    Python
    Deep Learning
    Machine Learning
    NLP

    Description

    As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI.

    Company: Actalent

    Role: AIML Engineer

    Location: Chennai, Tamil Nādu, India

    Experience:

    • Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models
    • Strong expertise in training, fine-tuning, and optimizing LLMs for real-world applications
    • Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.
    • Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning
    • Practical knowledge of deploying AI models at scale in production environments
    • Expertise in deep learning and machine learning algorithms, particularly in the context of generative models

    Key Skills:

    • Python
    • TensorFlow
    • PyTorch
    • Hugging Face Transformers
    • NumPy
    • Scikit-learn
    • AWS
    • GCP
    • Azure
    • Transformers
    • LLMs
    • RAG
    • GenerativeAI
    • AI Agents

    Qualification:

    • Qualifications in Python, AI/ML, GenerativeAI, AI Agents, LLMs, RAG, Transformers, GCP

    Role Focus:

    • Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures
    • Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks
    • Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging modern machine learning frameworks
    • Work on scaling, optimizing, and improving the efficiency of large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs)
    • Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models

    Other:

    • At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I is embedded into our culture through: Hiring diverse talent, Maintaining an inclusive environment through persistent self-reflection, Building a culture of care, engagement, and recognition with clear outcomes, Ensuring growth opportunities for our people
    • Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day.
    • Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands.

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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