Senior AI/ML engineer

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

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Location:

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About the Role

AI/ML Architect


Core Competencies Required

  • 10–14 years in software architecture, with 5–6 years in AI/ML or data platform roles.
  • 5–6 years in enterprise AI or large-scale data product management, with recent delivery experience.
  • Strong grasp of classical ML, Transformers, embeddings, and GenAI architectures.
  • Hands-on experience with LLMs (GPT, Claude), RAG pipelines, and agentic frameworks (CrewAI, AutoGen, LangChain).
  • Expertise in data modeling, schema design, and managing batch/streaming ingestion pipelines.
  • Ability to interpret and act on model performance metrics (accuracy, latency, drift, ROI).
  • Proven experience balancing performance, governance, and scalability in cloud-native environments.
  • Familiarity with vector databases (FAISS, Chroma), personalization engines, and real-time streaming platforms (Kafka, Flink).
  • Experience with MLOps frameworks (MLflow, DVC) and observability tools (Prometheus, Grafana).
  • Exposure to value realization frameworks and revenue impact analysis for AI products.
  • Strong analytical mindset and ability to simplify complex AI concepts for business stakeholders.
  • Effective cross-functional leadership and stakeholder management.
  • Excellent communication, storytelling, and prioritization skills.
  • Empathy for end users with a focus on trust, explainability, and adoption.
  • Ability to balance technical trade-offs with business outcomes and drive measurable ROI.


Nice-to-Have Tools & Technologies

  • AI/ML:

    Transformers, LLMs (GPT, Claude, Gemma), Hugging Face, PyTorch, TensorFlow
  • GenAI & Retrieval:

    RAG pipelines, prompt engineering, FAISS, Chroma, CrewAI, AutoGen, LangChain
  • Storage & Modeling (any 2):

    PostgreSQL, MongoDB, Cassandra, S3, ADLS, Redshift, BigQuery
  • Cloud Platforms:

    Azure OpenAI, AWS SageMaker
  • Serving & Orchestration:

    KFServing, RedisAI, Kubernetes, Docker
  • Explainability & Observability:

    WhyLabs, Prometheus, Grafana
  • Analytics & ROI:

    PowerBI, Tableau
  • Collaboration:

    Jira, Confluence, GitHub, CI/CD (Jenkins, GitLab CI)


Company Description-

Indsafri believes in the limitless potential of individuals to create and build anything imaginable. They leverage their deep industry experience and cutting-edge technology to help organizations transform for growth. They work with some of the best organizations around the world and have a global network of partners and talents. Indsafri believes that technology is at its best when it makes people smile. This is a place where with passion and intelligence, anything is possible.


sowjanya.dommaraju@indsafri.com

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