Senior AI/ ML Engineer(Fulltime)

1 month ago

Trivandrum, India NeoITO Full time

NeoITO is a leading technology service provider dedicated to delivering innovative AI solutions to our clients. We specialize in harnessing the power of artificial intelligence and machine learning to solve complex business challenges and drive digital transformation across industries.


Experience- 5-8 Years

Work mode- Hybrid/Remote


Position Overview:


We are seeking a highly skilled Senior Machine Learning Engineer with expertise in integrating Language Learning Models (LLMs) into our service offerings. As a service-oriented company, we are committed to providing our clients with cutting-edge AI solutions that leverage the latest advancements in natural language processing. The ideal candidate will lead the integration of LLMs into our service portfolio, enabling us to deliver advanced language understanding and generation capabilities to our clients. This role offers an exciting opportunity to drive innovation, collaborate with cross-functional teams, and shape the future of AI-driven services.


Responsibilities:


  • Lead the integration of LLMs into our service offerings, including pre-processing, fine-tuning, and optimization for specific client use cases.
  • Collaborate with cross-functional teams to define client requirements, design service architecture, and implement solutions that leverage LLMs effectively.
  • Develop and maintain pipelines for data collection, annotation, and training of LLMs using state-of-the-art techniques and tools.
  • Conduct research and experimentation to explore the capabilities and limitations of LLMs in real-world service scenarios, identifying opportunities for improvement and innovation.
  • Evaluate and select appropriate LLM models and frameworks based on client needs, performance benchmarks, and compatibility with existing infrastructure.
  • Apply deep learning techniques, including neural network architectures, regularization methods, and optimization algorithms, to enhance the performance and robustness of LLMs within our services.
  • Implement advanced natural language processing (NLP) algorithms and techniques to address client-specific challenges such as language understanding, sentiment analysis, and entity recognition.
  • Stay updated on the latest advancements in LLM and deep learning research, methodologies, and best practices, sharing knowledge and insights with the team.
  • Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of collaboration, innovation, and continuous learning within our service team.


Qualifications:


  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • Proven experience (5-8 + Years) working as a Machine Learning Engineer, with a focus on natural language processing and LLM integration.
  • Strong proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks for machine learning and deep learning.
  • In-depth knowledge of LLM architectures, including Transformer-based models (e.g., GPT, BERT) and their applications in text generation, summarization, translation, etc.
  • Experience with data pre-processing, feature engineering, and model evaluation techniques for LLMs within a service-oriented context.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and distributed computing frameworks for large-scale service deployment and management.
  • Excellent problem-solving skills, analytical thinking, and attention to detail, with a passion for delivering innovative AI solutions to clients.
  • Effective communication skills, with the ability to collaborate with diverse teams, articulate technical concepts to non-technical stakeholders, and mentor junior engineers.


Tech Stack:


Python

TensorFlow

PyTorch

Hugging Face Transformers

AWS/GCP

Docker/Kubernetes

Git/GitHub

Jupyter Notebooks

SQL/NoSQL databases

Linux/Unix environments

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