Senior AIML Engineer

Job Title: Senior AIML Engineer Company: Litmus7 Job Category: Machine Learning Roles & Responsibilities: Responsibilities * Design, develop and optimize machine learning models for applications across different domains. * Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. * Develop and deploy cutting\-edge generative AI \& Agentic AI applications. * Implement MLOps practices \- model training, evaluation, deployment, monitoring, and maintenance. * Integrate machine learning capabilities into existing products or build new AI\-powered applications. * Perform data mining, cleaning, preparation, and augmentation for training robust ML models. * Collaborate with cross\-functional teams to translate AI requirements into technical implementations. * Ensure model performance, scalability, reliability. * Continuously research and implement state\-of\-the\-art AI/ML algorithms and techniques. * Manage the end\-to\-end ML lifecycle from data processing to production deployment. Work Location: Kochi, Kerala, India Availability: Full time

We are looking for a Senior AIML Engineer with good hands on experience in ML, DL and Gen AI with deployement. * 0-2 years of experience in machine learning engineering and AI development. * Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. * Solid experience in natural language processing (NLP) \- language models, text generation, sentiment analysis, etc. * Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. * Expertise in Agentic AI and building real world applications using the same. * Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. * Hands\-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) * Experience in MLOps and ML model deployment pipelines. * Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. * Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. * Experience with data processing, feature engineering, and model training on large datasets. * Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. * Understanding of software engineering best practices and applying them to ML systems. * Experience with an agile development environment. * Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. * Strong problem\-solving, analytical, and communication abilities. * Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Model Training, Feature Engineering, NLP Salary: Not disclosed