AI/ML Engineer - NLP Solutions
First seen by Alion on Oct 15, 2026.
Location : Remote / Pune
Job Type : Full-Time
Shift Timing : 2 : 00 PM - 11 : 00 PM
Job Overview :
We are seeking an experienced AI/ML Engineer to develop, deploy, and maintain production-ready machine learning and NLP solutions. The role involves integrating AI/ML models into data pipelines and microservices, building model-serving workflows, and enabling continuous model training and monitoring.
Key Responsibilities :
- Develop, deploy, and maintain machine learning models and AI-powered services in production environments.
- Build NLP pipelines to process structured and unstructured data, including healthcare claims and clinical documents.
- Integrate ML models with data pipelines and backend services using REST APIs, GraphQL, or gRPC.
- Develop data preprocessing, feature engineering, model inference, and evaluation workflows.
- Implement model deployment and serving using Vertex AI Endpoints, TensorFlow Serving, or equivalent platforms.
- Build and manage model training, retraining, and orchestration workflows using Vertex AI, Kubeflow, or similar tools.
- Collaborate with Data Engineering, MLOps, and Platform teams to operationalize models.
- Implement model monitoring, prediction logging, confidence-score tracking, and fallback mechanisms.
- Optimize model performance, reliability, scalability, and inference latency.
- Explore GenAI and LLM-based solutions, prompt workflows, and agent orchestration frameworks where applicable.
Required Qualifications :
- 4 - 6 years of experience in AI/ML engineering, machine learning development, or production ML systems.
- Strong programming skills in Python.
- Hands-on experience deploying and integrating AI/ML models into production applications.
- Experience with NLP, text processing, or machine learning workflows.
- Understanding of the end-to-end ML lifecycle, including data preparation, feature engineering, training, deployment, and inference.
- Experience building or integrating REST APIs and working with backend services.
- Familiarity with structured and unstructured datasets.
- Experience with cloud platforms, preferably GCP.
- Understanding of model monitoring, evaluation, versioning, and performance optimization.
Preferred Qualifications :
- Experience with Vertex AI, Kubeflow, TensorFlow Serving, or equivalent ML platforms.
- Exposure to healthcare analytics, claims processing, or clinical NLP.
- Familiarity with BigQuery, Kafka, and cloud-based data pipelines.
- Experience with Docker, Kubernetes, and CI/CD workflows.
- Knowledge of GenAI, LLMs, LangChain, Hugging Face Transformers, or agent orchestration frameworks.
- Exposure to MLOps practices and automated model retraining.
Education :
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
Skills
Artificial Intelligence, Machine Learning, NLP, Vertex AI, Python, Kubeflow, Tensorflow, Data Pipeline