AI/ML Engineer

Experience: 2+ years in AI/ML, with hands-on development & leadership

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.

Job Types: Full-time, Permanent

Pay: ₹100,000.00 - ₹500,000.00 per year

Schedule:

• Day shift

Application Question(s):

• What is your current CTC?

Experience:

• AI: 2 years (Required)
• Machine learning: 2 years (Required)

Work Location: In person