5 - 8 years

12 - 23 Lacs

Posted:8 hours ago| Platform: Foundit logo

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Skills Required

cloud ai platforms (aws/azure/gcp) python & ml/dl libraries (numpy llms & generative ai mlops & ci/cd deployment (docker/kubernetes/mlflow) vector databases (faiss/pinecone/chroma) data preprocessing & feature engineering

Work Mode

On-site

Job Type

Full Time

Job Description

AI/ML Engineer

Key Responsibilities

  • Develop, train, and optimize ML/DL models for real-world applications.
  • Build GenAI applications using LLMs, embedding models, and vector databases.
  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Deploy ML models into production using CI/CD and MLOps frameworks.
  • Work closely with data engineers, product teams, and cloud architects to deliver AI-driven features.
  • Monitor model performance and implement continuous improvement strategies.
  • Evaluate new AI frameworks, libraries, and research papers to enhance the AI roadmap.
  • Build APIs, pipelines, and scalable inference systems.

Required Skills

Core Technical Skills

  • Strong Python programming (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
  • Hands-on experience with LLMs, RAG, prompt engineering, fine-tuning, and model evaluation.
  • Expertise in ML algorithms, deep learning, NLP, and generative AI techniques.
  • Proficiency in data pipelines: Airflow, Spark, Kafka (optional).
  • Experience in MLOps: Docker, Kubernetes, MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Familiarity with vector DBs (FAISS, Pinecone, Chroma).
  • Cloud: AWS/Azure/GCP (any one mandatory).

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