AI / ML Engineer – Fresher
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Job Description
AI/ML & GenAI Enablement
- AI/ML & GenAI Enablement
- Design and develop AI/ML models for prediction, anomaly detection, and optimization (e.g., Timeseries forecasting using TimeGPT, Scikit-learn, TensorFlow, etc.).
- Implement and fine-tune GenAI solutions (ChatGPT, OpenAI APIs, LangChain, etc.) for use cases such as smart assistants, data summarization, document generation, code copilots, and more.
- Build AI workflows for CMMS, SCADA, industrial edge devices, and dashboard intelligence.
- Research and prototype AI agents tailored for industrial use cases. Full Stack & Backend Engineering-
- Build scalable microservices using Python (FastAPI/Flask) or Node.js.
- Design REST APIs to serve AI models and data pipelines.
- Manage data ingestion from MQTT, REST, databases, and file-based sources.
- Deploy models and services on AWS/Azure, Docker, or Kubernetes environments. Frontend & UX Involvement-
- Develop intuitive dashboards or tools using React.js, Syncfusion, or similar libraries.
- Create AI-powered UI features (e.g., natural language queries, AI-driven reports).
- Collaborate with design teams to provide real-time AI results to users.
Requirements
- Strong Python programming
experience
(including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
- (including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
- Solid
experience
with OpenAI, HuggingFace, or similar GenAI platforms.
- with OpenAI, HuggingFace, or similar GenAI platforms.
- Full-stack web development using React.js + REST APIs (Flask/FastAPI/Node.js).
- Understanding of data pipelines, JSON processing, and data lake integrations (like S3/Athena). ·
Experience
working with MQTT, industrial data protocols, or time-series databases is a plus.
- working with MQTT, industrial data protocols, or time-series databases is a plus.
- Familiarity with tools like Git, Docker, Postgres/MongoDB, Redis, etc.
Key Requirements & Skills
- Strong Python programming
experience
(including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
- (including Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch).
- Solid
experience
with OpenAI, HuggingFace, or similar GenAI platforms.
- with OpenAI, HuggingFace, or similar GenAI platforms.
- Full-stack web development using React.js + REST APIs (Flask/FastAPI/Node.js).
- Understanding of data pipelines, JSON processing, and data lake integrations (like S3/Athena). ·
Experience
working with MQTT, industrial data protocols, or time-series databases is a plus.
- working with MQTT, industrial data protocols, or time-series databases is a plus.
- Familiarity with tools like Git, Docker, Postgres/MongoDB, Redis, etc.
Frequently Asked Questions
How to apply for AI / ML Engineer – Fresher at Total Automation Solutions?
Click the "Apply via CareerScan" button on this page.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
Entry of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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