Full-Time Middle AI Engineer / Data Scientist
Miratech is hiring a remote Full-Time Middle AI Engineer / Data Scientist. The career level for this job opening is Experienced and is accepting All cities, India based applicants remotely. Read complete job description before applying.
Miratech
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We are building a new AI Deployment Engineering Team that will serve as a key link between Professional Services and Product Engineering. The team will develop customer-facing AI solutions, customize product features based on real needs, and create reusable templates that can be deployed across multiple clients.
As a Middle AI Engineer / Data Scientist, you will gain hands-on experience with NLP, machine learning, and AI systems while working closely with experienced engineers, conversation designers, and consultants. This is a unique opportunity to join a team from the ground up and grow your technical and client-facing skills.
Responsibilities:- Build and improve AI chatbots and virtual agents using real conversational data.
- Clean, prepare, and analyze text data for NLP and ML models.
- Evaluate model performance and propose improvements.
- Work directly with customers to gather requirements and communicate progress.
- Collaborate with engineers, consultants, and conversation designers.
- Develop reusable solutions and provide feedback to Product Engineering.
- 4+ years of experience with Python and ML/NLP libraries (e.g., Pandas, Scikit-learn, PyTorch, TensorFlow).
- Hands-on experience with NLP tasks: text classification, entity extraction, chatbots, or conversational AI.
- Solid understanding of ML fundamentals, statistics, and model evaluation metrics.
- Experience working with AI/LLM applications or integrating ML into production systems.
- Strong communication skills; comfortable collaborating with customers and cross-functional teams.
- Ability to work independently, handle ambiguity, and manage priorities.
- Bachelor’s degree in Computer Science, Data Science, Linguistics, or related field.
- Customer-facing experience, cloud platforms (AWS/GCP/Azure), or CI/CD for ML models.