AI/ML Engineer

Role: AI/ML Engineer

Location: Gurugram

Experience: 4+ years

Work Mode: Hybrid

Required Skills : Python, Machine Learning, Artificial Intelligence, SQL, Docker.

💡 What You’ll Do (Key Responsibilities)

• :Model Development: Develop, train, and optimize AI/ML models for diverse use cases like text summarization, image matching, and speech recognition
• .Data Engineering: Build robust feature engineering pipelines and data pre-processing modules
• .Optimization & Experimentation: Conduct rigorous experiments, document results, and continuously improve model accuracy and latency
• .Collaboration: Partner with Data Scientists and Engineers to successfully deploy AI models in production environments
• .Quality & Stability: Perform error analysis, debug models, and ensure long-term stability
• .Responsible AI: Ensure all model outputs strictly comply with data protection norms and Responsible AI guardrails

.
🛠️ Technical Toolbox (Competencies

• ):Languages: Python, C++,
• RFrameworks: PyTorch, TensorFlow, Keras, Hugging Fa
• ceLibraries: pandas, NumPy, OpenCV, spaCy, Transforme
• rsData Handling: SQL, NoSQL, and data augmentation techniqu
• esCloud & MLOps Tools: Docker, AWS SageMaker, MLflow, G
• itEvaluation Metrics: Deep understanding of $F_1$, BLEU, ROUGE, AUC, and precision-recall curv

es
🎓 What You Bring (Qualification

• s):Education: B.Tech / M.Tech in Computer Science, AI, Data Science, or an equivalent fie
• ld.Experience: 4–7 years of hands-on experience developing and fine-tuning AI/ML models with practical exposure to NLP, computer vision, or predictive analyti
• cs.Bonus Points: Professional certifications in ML/DL, published research papers, structured case studies, or significant open-source contributio