As a Senior AI/ML Engineer, you will be responsible for designing, developing, and continuously improving AI and machine learning solutions. Your main tasks will include ensuring the scalability, accuracy, and reliability of models, collaborating with team members, and providing technical expertise to drive success. You will be involved in various key responsibilities including model development where you will design, develop, and deploy machine learning models to address complex business problems. Data analysis is another crucial aspect where you will analyze datasets to uncover trends, patterns, and insights while ensuring data quality for model training. Algorithm optimization will also be a significant part of your role as you continuously enhance machine learning models for performance, scalability, and efficiency to meet business and technical requirements. Collaboration will be essential as you work closely with cross-functional teams to integrate machine learning models into production systems. Staying updated with the latest AI/ML trends and research, applying innovative approaches, and solutions to improve models and processes will be part of your research and innovation duties. You will also be responsible for model evaluation, tuning, automation, mentorship, documentation, performance monitoring, and ensuring ethical AI development. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science or a related field with at least 8+ years of experience in software development. Proficiency in Machine Learning (Supervised, Unsupervised, and Reinforcement Learning), programming languages like Python, TensorFlow, PyTorch, and cloud platforms such as AWS/Azure/GCP is required. Experience with SQL / NoSQL databases, Natural Language Processing (NLP), Design patterns, Metrics, Model Deployment metrics evaluation, and familiarity with ML OPS and Agile/Scrum methodologies are also desirable. Strong problem-solving, debugging skills, excellent communication, interpersonal skills, and the ability to work effectively in a collaborative team environment are essential for this role.,
Company Description: Voxai is a 20-year-old US-based tech company with a strong footprint in India, specializing in next-gen customer experience (CX) and contact center solutions powered by AI and cloud technologies. With offices in Texas and Hyderabad, Voxai blends global innovation with local talent to deliver impactful, scalable solutions. Role Description: Role summary: We are seeking a highly skilled and innovative AI/ML professional to architect and implement Large Language Model (LLM)-driven solutions that redefine customer experience (CX) in the contact center space Key Responsibilities: · Architect and implement LLM-driven applications to power CX innovations. · Design and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, or Qdrant. · Recommend and define best-fit AI/ML architectures, balancing scalability, accuracy, and cost-effectiveness. · Develop, test, and validate AI agents and CX insights using structured evaluation frameworks, A/B testing, and human-in-the-loop methods. · Experiment with Agentic AI systems capable of multi-step reasoning, tool use, and dynamic orchestration. · Build and maintain MLOps pipelines (training, testing, deployment, monitoring) using tools like MLflow, Kubeflow, Docker, and Kubernetes. · Analyze contact center data (e.g., transcripts, IVR logs, feedback) to extract insights on intent, sentiment, resolution, SLA breaches, and automation opportunities. · Collaborate with cross-functional teams (product, engineering, CX) to deliver real-world AI applications. · Mentor junior engineers and help define technical standards for AI/ML development at Voxai. Qualifications: Strong foundation in Computer Science, Algorithms, and Data Structures. Proficiency in Statistics, Data Analysis, and Machine Learning. Hands-on experience in developing and deploying ML models in production. Familiarity with LLMs, RAG pipelines, and vector databases. Experience with MLOps tools and cloud-native deployment. Excellent problem-solving, analytical, and communication skills. Ability to work collaboratively in a fast-paced, cross-functional team environment. Master’s or Ph.D. in Computer Science, Engineering, or a related field. Experience in enterprise software, contact center technologies, or customer experience platforms.
As an AI/ML professional at Voxai, you will play a crucial role in architecting and implementing Large Language Model (LLM)-driven solutions that revolutionize customer experience in the contact center domain. Your responsibilities will include designing and optimizing Retrieval-Augmented Generation (RAG) pipelines, recommending AI/ML architectures, developing AI agents, experimenting with Agentic AI systems, and building MLOps pipelines. You will collaborate with cross-functional teams to deliver real-world AI applications, analyze contact center data to derive actionable insights, and mentor junior engineers. Your qualifications should include a strong foundation in Computer Science, proficiency in Statistics and Machine Learning, hands-on experience in deploying ML models, familiarity with LLMs and vector databases, and expertise in MLOps tools and cloud-native deployment. Additionally, excellent problem-solving, analytical, and communication skills are essential for this role. Ideally, you should hold a Masters or Ph.D. in Computer Science or a related field, have experience in enterprise software or customer experience platforms, and be able to work effectively in a fast-paced, collaborative environment. Join Voxai to be at the forefront of CX innovation and make a significant impact in the tech industry.,