Machine Learning Engineer - NLP/LLM (6-8 yrs)

Location : LRDE Layout, Doddanekundi, Bengaluru, Karnataka

Duration : 9 months (Full-Time)

Working Hours : As per company timings

Notice Period : Immediate Joiner Preferred

Experience Required : Minimum 6+ years in AI and Machine Learning

About the Role :

We are seeking an experienced AI/ML professional with a proven track record in developing and deploying advanced machine learning solutions. The ideal candidate will possess deep expertise in Large Language Models (LLMs), agentic systems, and cutting-edge AI techniques. This role requires hands-on technical expertise and the ability to work independently on challenging projects while contributing effectively to team goals.

Key Responsibilities :

NLP & LLM Expertise :

- Develop, fine-tune, and optimize Large Language Models (e.g., GPT-3/4, Claude) with a strong understanding of transformer architectures.

- Implement pretraining, fine-tuning, prompt engineering, and task adaptation for various NLP use cases.

Agentic Systems Development :

- Design and deploy goal-oriented agentic systems that leverage reinforcement learning (RL) or similar techniques for autonomous task management.

Technical Implementation :

- Write high-quality code in Python, utilizing ML libraries like Hugging Face Transformers, TensorFlow, and PyTorch.

- Employ data processing libraries such as Pandas and NumPy for large-scale data handling and preprocessing.

MLOps and Deployment :

- Implement MLOps best practices to streamline the deployment of large models and agentic systems in production environments.

- Use tools like Docker, Kubernetes, and MLFlow for model lifecycle management.

Data Management :

- Handle large datasets and enable real-time data processing for model training and performance optimization.

- Utilize cloud platforms (AWS, GCP, Azure) for scalable data storage and computing solutions.

Problem Solving and Communication :

- Solve complex AI/ML challenges independently, employing strong analytical and debugging skills.

- Communicate technical concepts and AI-driven insights effectively to non-technical stakeholders.

- Maintain comprehensive documentation for project continuity and knowledge sharing.

Required Skills and Qualifications :

Technical Skills :

- Advanced proficiency in Python and popular ML frameworks.

- Expertise in NLP and working with Large Language Models.

- Strong knowledge of reinforcement learning and agentic systems.

- Familiarity with MLOps tools and practices.

Data Handling :

- Experience managing large datasets and building data pipelines.

- Proficiency with cloud platforms such as AWS, GCP, or Azure.

Soft Skills :

- Strong analytical and independent problem-solving skills.

- Excellent communication skills for articulating complex concepts clearly.

- A proactive approach to identifying issues and risks, along with the ability to resolve them efficiently.

Preferred Personal Characteristics :

- Collaborative : Able to work both independently and as part of a team.

- Dynamic : Adaptable to changing work environments and open to continuous learning.

- Resilient : Confident yet humble, with the ability to deal with ambiguity and provide clarity in challenging situations.

- Results-Driven : Focused on achieving outcomes with a flexible and positive attitude