
AI/ML Engineer
3 days ago
We are seeking a highly motivated and technically proficient AI Engineer with 2 to 6 years of experience to join our innovation-driven team. The ideal candidate should possess a strong foundation in Computer Vision, Machine Learning, Deep Learning, Time Series Forecasting, and advanced Generative AI frameworks, including Lang Chain, Lang Graph, and AI agents. This role requires a proactive individual who can also engage confidently in client meetings and contribute to no-code/low-code automation workflows using platforms like n8n.
Key Responsibilities:
- Design, build, and deploy AI/ML models with a focus on computer vision and time series forecasting applications.
- Develop and integrate LLM-powered RAG pipelines and AI agent frameworks using LangChain and LangGraph.
- Create intelligent workflows and automations using n8n and other no-code platforms to streamline business processes.
- Build end-to-end AI applications including data ingestion, preprocessing, training, evaluation, and deployment.
- Collaborate with clients to understand requirements, provide expert AI guidance, and present technical solutions clearly.
- Work cross-functionally with product, engineering, and operations teams to translate ideas into scalable AI solutions.
- Stay up to date with the latest in LLMs, GenAI, automation, and agentic systems to continuously innovate and improve solutions.
Required Skills:
- Programming: Strong in Python; experience with libraries like PyTorch, TensorFlow, Hugging Face, scikit-learn.
- Computer Vision: Object detection, segmentation, OCR, feature extraction, and model evaluation.
- Machine Learning & Deep Learning: End-to-end pipeline design, hyperparameter tuning, and model optimization.
- Time Series Forecasting: Familiarity with models like ARIMA, LSTM, Prophet, etc.
RAG & Agents:
- LangChain and LangGraph for building agentic workflows and knowledge retrieval systems.
- Understanding of embeddings, vector stores (e.g., FAISS, Pinecone, ChromaDB), and prompt chaining.
- Automation Platforms: Hands-on experience with n8n and other no-code/low-code platforms for automation and workflow orchestration.
- Client Interaction: Strong communication skills and ability to manage client discussions and technical presentations.
Nice-to-Have:
- Experience with cloud platforms (AWS, GCP, Azure).
- Familiarity with tools like MLflow, DVC, and Docker for versioning and deployment.
- Exposure to API integrations and orchestration of multiple AI services.
Education:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Job Type: Full-time
Pay: Rs80, Rs100,000.00 per month
Work Location: In person
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