Job Title: AIML Engineer
Job 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. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.
Responsibilities
- 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 such as TensorFlow, PyTorch, and Hugging Face Transformers.
- 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.
Essential Skills
- 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.
- Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Scikit-learn, and others.
- Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.
- Knowledge of distributed computing and parallelism for large-scale training.
Additional Skills & Qualifications
- Qualifications in Python, AI/ML, GenerativeAI, AI Agents, LLMs, RAG, Transformers, GCP.
Diversity, Equity & Inclusion
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 an equal opportunity employer.
About Actalent
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 APACwith 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. Learn more about how we can work together at actalentservices.com.
