AI/ML Developer

Role:

Experience: 1+

Key Responsibilities:

• Architect, develop, and deploy AI/ML solutions across various business domains.
• Research and implement cutting-edge deep learning, NLP, and computer vision models.
• Optimize AI models for performance, scalability, and real-time inference.
• Develop and manage data pipelines, model training, and inference workflows.
• Integrate AI solutions into microservices and APIs using scalable architectures.
• Lead AI-driven automation and decision-making systems.
• Ensure model monitoring, explainability, and continuous improvement in production.
• Collaborate with data engineering, software development, and DevOps teams.
• Stay updated with LLMs, transformers, federated learning, and AI ethics.
• Mentor AI engineers and drive AI research & development initiatives.

Technical Requirements:

• Programming:

  Python (NumPy, Pandas, Scikit-learn).

• Deep Learning Frameworks:

  TensorFlow, PyTorch, JAX.

• NLP & LLMs:

  Hugging Face Transformers, BERT, GPT models, RAG, fine-tuning LLMs.

• Computer Vision:

  OpenCV, YOLO, Faster R-CNN, Vision Transformers (ViTs).

• Data Engineering:

  Spark, Dask, Apache Kafka, SQL/NoSQL databases.

• Cloud & MLOps:

  AWS/GCP/Azure, Kubernetes, Docker, CI/CD for ML pipelines.

• Optimization & Scaling:

  Model quantization, pruning, knowledge distillation.

• Big Data & Distributed Computing:

  Ray, Dask, TensorRT, ONNX.

• Security & Ethics:

  Responsible AI, Bias detection, Model explainability (SHAP, LIME).

Preferred Qualifications:

• Experience with real-time AI applications, reinforcement learning, or edge AI.
• Contributions to AI research (publications, open-source contributions).
• Experience integrating AI with ERP, CRM, or enterprise solutions.