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Job Title: Machine Learning Engineer/Senior – LLM Focused

Overview: We're looking for a skilled Machine Learning Engineer to lead the development and deployment of advanced AI systems with a focus on Large Language Models (LLMs), agentic AI frameworks, and NLP. Experience with MLOps, Linux environments, and optionally Computer Vision is highly valued.

Key Responsibilities:

• Design, fine-tune, and deploy LLMs for real-world applications
• Develop autonomous agents using agentic frameworks for reasoning, planning, and execution
• Build robust NLP and Text processing pipelines .
• Collaborate with cross-functional teams to integrate ML models into production systems
• Monitor and maintain deployed models using MLOps tools (e.g., MLflow, KServe, Docker)
• Optimize models and systems for scalability and performance in Linux-based environments (Optional) Integrate Computer Vision models with multimodal LLM workflows

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• 3+ years in machine learning or applied AI roles
• Strong experience with Python, PyTorch/TensorFlow, and LLM APIs (OpenAI, HuggingFace, etc.)
• Solid understanding of prompt engineering, embeddings, and RAG pipelines
• Proficiency with Linux, Bash scripting, and cloud-based ML deployments (AWS/GCP/Azure)
• Experience with CI/CD for ML pipelines, Docker, and orchestration tools like Kubernetes
• Familiarity (Preferred) with computer vision tasks such as detection, classification, or OCR