Overview

Job Title: Senior AI/ML Engineer GenAI, LLM, Data Science & MLOpsJob Overview

Responsibilities

• Design, develop, and deploy machine learning and Generative AI solutions for business applications.
• Build and optimize applications powered by Large Language Models (LLMs).
• Develop data pipelines, feature engineering workflows, and model training frameworks.
• Fine-tune, evaluate, and monitor machine learning models to ensure performance and reliability.
• Implement MLOps best practices, including CI/CD, model versioning, and automated deployment.
• Work with structured and unstructured datasets to derive actionable insights.
• Collaborate with software engineers, product teams, and stakeholders to deliver AI solutions.
• Conduct research on emerging AI, ML, and GenAI technologies and recommend improvements.
• Ensure data quality, security, and compliance throughout the model lifecycle.
• Prepare technical documentation and share knowledge with team members.

Qualifications

• We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), Data Science, and MLOps practices. This role involves collaborating with cross-functional teams to build scalable AI-driven products, optimize machine learning pipelines, and contribute to innovative AI initiatives.
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 5+ years of experience in Machine Learning, Data Science, or AI development.
• Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with Generative AI models and LLM-based applications.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Excellent analytical, problem-solving, and communication skills.
• Knowledge of vector databases and embedding models.
• Familiarity with distributed computing and big data technologies.
• Python, SQL
• TensorFlow, PyTorch, Scikit-learn
• LLMs, Generative AI, Prompt Engineering
• LangChain, LlamaIndex, RAG Frameworks
• MLOps, CI/CD, Model Monitoring
• AWS, Azure, Google Cloud
• Docker, Kubernetes
• Git, REST APIs

Benefits

• Competitive salary package
• Professional development and learning opportunities
• Collaborative and creative work environment
• Exposure to cutting-edge AI and machine learning technologies
• Performance-based growth opportunities