AI/ML Developer

3 days ago

Noida, Uttar Pradesh, India Alpha Lion Trucking Full time ₹ 12,00,000 - ₹ 36,00,000 per year

AI/ML Developer Roles and Responsibilities

1. AI Agent & Automation Development

  • Design, build, and deploy AI-driven agents and automation systems for internal operations and client use cases.
  • Integrate AI models (OpenAI, Anthropic, Hugging Face, etc.) into applications or workflows.
  • Develop autonomous or semi-autonomous agents capable of decision-making, data retrieval, and process execution.

2. Machine Learning Model Development

  • Collect, preprocess, and analyze datasets for model training and evaluation.
  • Build, fine-tune, and deploy machine learning models (classification, regression, NLP, computer vision, etc.).
  • Optimize models for accuracy, latency, and scalability.

3. API & System Integration

  • Work with APIs (REST, WebSocket, etc.) to integrate AI models with existing systems or third-party tools.
  • Develop backend logic for AI-powered features (e.g., chatbots, predictive analytics, recommendation engines).

4. Data Engineering & Pipeline Management

  • Create data pipelines for training and inference workflows.
  • Ensure data integrity, security, and performance optimization.
  • Automate repetitive ML tasks using orchestration tools or Python scripts.

5. Research & Experimentation

  • Explore and evaluate new AI frameworks, LLMs, and vector databases (like LangChain, Pinecone, or FAISS).
  • Conduct experiments to improve model performance or reduce inference costs.
  • Stay updated with the latest trends in generative AI and MLOps.

6. Deployment & Monitoring

  • Deploy models to production using cloud services (AWS, GCP, Azure, or local servers).
  • Monitor model performance and retrain when necessary.
  • Implement logging, monitoring, and continuous improvement practices.

7. Collaboration & Documentation

  • Work closely with product, data, and engineering teams to deliver AI-powered features.
  • Document model architecture, code, and implementation details for scalability.
  • Communicate progress and results to non-technical stakeholders.

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