Senior Artificial Intelligence/Machine Learning Engineer - LLM

7 - 9 years

0 Lacs

Posted:1 week ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

Job Title :

Senior AI/ML Engineer (7+ Years)

Location :

Hyderabad (Onsite/Hybrid)

Experience Required :

7+ Years

About The Role

We are seeking a highly skilled Senior AI/ML Engineer with extensive hands-on experience in designing, developing, and deploying advanced AI/ML solutions. The ideal candidate will have a strong foundation in Machine Learning, Deep Learning, Generative AI, and LLMs, along with proven expertise in deploying models in production environments.

Key Responsibilities

  • Design and implement end-to-end ML/DL models for real-world business problems.
  • Develop solutions in Generative AI, LLMs, NLP, Computer Vision, and Predictive Analytics.
  • Collaborate with cross-functional teams (data engineering, product, business) to build scalable AI products.
  • Optimize models for performance, scalability, and deployment on cloud platforms.
  • Integrate AI/ML pipelines with modern MLOps practices.
  • Stay updated with the latest AI/ML research, frameworks, and tools to bring innovation to projects.

Must-Have Skills

  • Strong programming expertise in Python and SQL.
  • Hands-on experience with TensorFlow / PyTorch and ML lifecycle management.
  • Proven experience with Generative AI, LLMs (LangChain, HuggingFace, VectorDBs, RAG).
  • Cloud proficiency in AWS / Azure / GCP with deployment knowledge.
  • Containerization and orchestration using Docker / Kubernetes.
  • Experience delivering production-grade AI/ML solutions.

Good-to-Have Skills

  • Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI.
  • Experience with data engineering pipelines and ETL processes.
  • Knowledge of model optimization techniques (quantization, pruning).
  • Contribution to open-source AI/ML projects.

Why Join Us

  • Opportunity to work on cutting-edge AI/ML projects in Generative AI and LLMs.
  • Collaborative, innovative, and growth-driven work environment.
  • Hybrid work flexibility in Hyderabad.
  • Competitive compensation and benefits.
(ref:hirist.tech)

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