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On-site

Job Type

Full Time

Job Description

Job Information

    Number of Positions

    1

    Date Opened

    12/01/2025

    Target Date

    11/20/2025

    Job Type

    Full time

    Industry

    IT Services

    Work Experience

    5-8 years

    Last Activity Time

    12/17/2025 11:26

    City

    Bangalore

    State/Province

    Karnataka

    Country

    India

    Zip/Postal Code

    560068

Lead/Sr AI Engineer


We are seeking a passionate and driven AI engineer with a proven track record of building and deploying cutting- edge AI solutions. As a leader you will be the driving force behind our AI strategy, providing technical guidance, fostering innovation and ensuring the successful delivery of AI projects.


Location
- Bangalore


Responsibilities


  • Drive the AI roadmap in alignment with the company’s strategic objectives.

  • Mentor junior AI engineers and data scientists, fostering a culture of continuous learning and innovation.

  • Ensure compliance with ethical AI principles, including bias mitigation, model explain ability, and data privacy.

  • Champion AI governance frameworks to align with internal and external regulatory requirements.

  • Collaborate with business leaders, product managers, and domain experts to identify high-impact AI opportunities.

  • Translate business requirements into technical specifications and deliverable solutions.

  • Architect scalable AI pipelines for production-grade applications.

  • Optimize inference performance, model latency, and compute efficiency across cloud and edge environments.

  • Implement robust model monitoring systems for drift detection, retraining, and feedback loops.

  • Ensure AIOps/MLOps best practices for lifecycle management and versioning.

  • Experience designing end-to-end AI solutions across multiple domains (e.g., computer vision, NLP, forecasting).

  • Hands-on experience with vector databases, RAG architectures, prompt engineering, or agentic workflows (e.g., LangChain or LlamaIndex).

  • Track and report on the business value generated by AI initiatives (ROI, efficiency gains, etc.).

  • Support in building business cases for AI investments.

  • Designing and implementing AI and machine learning models to solve business problems

  • Collaborating with cross-functional teams to understand requirements and deliver tailored AI solutions

  • Conducting research and prototyping new AI algorithms and techniques

  • Developing and maintaining AI models to improve performance and accuracy

  • Analysing and interpreting complex data sets to extract meaningful insights

  • Documenting and presenting technical solutions to both technical and non-technical stakeholders

  • Keeping up-to-date with the latest advancements in AI and machine learning technologies


Requirements

Requirements


  • Bachelor’s or Master's Degree in Computer Science or other related fields.

  • Strong technical & analytical skill (Python OR R, SQL, predictive modelling, NLP/AI, Cloud, Generative AI, MLops, AIops etc)

  • Experience with Large Language Models like OpenAI API, ChatGPT, GPT-4, Bard and Langchain, HuggingFace Transformers etc

  • Proven experience in developing and implementing Gen AI algorithms and models

  • Solid background in machine learning, deep learning, and natural language processing

  • Experience with AI frameworks such as TensorFlow, PyTorch, or Keras

  • Proficient in handling and analysing large datasets using SQL or NoSQL databases

  • Strong programming skills in Python.

  • Experience in model deployment & operation using CI/CD and cloud platforms (AWS, Azure,)

  • Strong problem-solving and analytical skills

  • Excellent communication and teamwork abilities

  • Client Interaction

  • Project Handling experience

  • Apache Spark, Databricks, Apache Airflow, Prefect, Kafka, Delta Lake, dbt (data build tool)

  • Worked on tools like MLflow, Kubeflow, BentoML, Seldon, Ray Serve, Amazon SageMaker, Azure ML, Google Vertex AI, Weights & Biases (W&B), Neptune.ai, Arize AI (model monitoring)

  • LangChain, LlamaIndex (for RAG applications), Haystack, Rasa (for chatbots), OpenAI APIs, Anthropic Claude, Mistral, Embedding Models: OpenAI, Cohere, Sentence Transformers, Vector DBs: Pinecone, Weaviate, FAISS, Qdrant

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