Manager | AI

7 days ago

Bengaluru, Karnataka, India Orcapod Consulting Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI/ML Engineer & Quality Engineering

Experience: 5+ Years

Location: [Add location or mention Remote/Hybrid if applicable]

Domain: Open to all (Payments/FinTech experience preferred)

About the Role

We are seeking a highly skilled AI/ML Engineer with a strong foundation in machine learning, MLOps, and quality engineering. The ideal candidate will design and deploy scalable ML and GenAI solutions, ensuring reliability, performance, and business alignment across diverse domains.

Key Responsibilities

  • Design, develop, and deploy scalable ML models for real-world applications such as fraud detection, risk scoring, and customer analytics.
  • Work with structured and unstructured data, including preprocessing, feature engineering, and exploratory data analysis.
  • Fine-tune and implement open-source LLMs (e.g., GPT, BERT, T5, Falcon, ViT) for NLP and vision-based tasks.
  • Build and maintain GenAI solutions including chatbots, RAG-based frameworks, and agentic systems.
  • Apply MLOps practices using tools like MLflow, Kubeflow, AWS SageMaker, and Comet for model lifecycle management.
  • Implement quality engineering practices through model validation, testing, and continuous monitoring.
  • Evaluate model performance using metrics such as Precision, Recall, F1-score, and AUC-ROC.
  • Collaborate with cross-functional teams to align AI/ML solutions with business objectives and delivery timelines.
  • Monitor model drift, retraining needs, and manage feedback loops for continuous improvement.

Technical Skills

  • Programming: Python (mandatory), R, Java
  • Data Tools: SQL, Spark, Hadoop
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • GenAI & LLM Libraries: Hugging Face Transformers, LangChain, LlamaIndex
  • Containerization & Orchestration: Docker, Kubernetes
  • MLOps Tools: MLflow, Kubeflow, AWS SageMaker, Comet
  • Additional Skills: Prompt engineering and optimization for GenAI applications

Preferred Qualifications

  • Experience in the Payments or FinTech domain (UPI, credit card data preferred).
  • Prior work on fraud detection, risk scoring, or customer segmentation models.
  • Exposure to model monitoring, feedback loops, and automated retraining pipelines.
  • Strong communication skills with the ability to simplify complex technical concepts for business stakeholders.

Education

  • Bachelors or Master's degree in Computer Science, Data Science, AI/ML, or related fields.

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