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AI / ML Engineer - Data Modeling

AI / ML Engineer - Data Modeling

Winning EdgeBangalore
30+ days ago
Job description

Responsibilities :

  • Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
  • Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets.
  • Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions.
  • Architect and deploy scalable AI / ML models, including large language models (LLMs) and transformer-based architectures.
  • Implement MLOps best practices for CI / CD, automated model retraining, and lifecycle management.
  • Optimize AI / ML pipelines for distributed computing, leveraging cloud platforms and

accelerators (GPUs / TPUs).

  • Develop and maintain scalable advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT).
  • Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy.
  • Stay at the forefront of AI / ML advancements and integrate cutting-edge techniques into existing and new projects.
  • Mentor and provide technical guidance to junior developers and team members.
  • Author and maintain detailed documentation of processes, methodologies, and best practices.
  • Implement and optimize cutting-edge deep learning models, such as Generative Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT).
  • Explore and implement federated learning approaches to build AI / ML models while preserving patient data privacy and security.
  • Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models.
  • Translate complex AI concepts into actionable insights for business stakeholders.
  • Required Qualifications :

  • Bachelor's, Master's in Computer Science, AI, ML, Data Science, or related fields.
  • 7+ years of experience with AI / ML solutions
  • Extensive experience in developing and deploying machine learning models in a production
  • environment.

  • Expertise in Python (NumPy, Pandas, scikit-learn), and proficiency in Java, Scala, or similar
  • languages.

  • Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers).
  • Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI / CD, and model monitoring.
  • Well versed with Agentic AI.
  • Deep understanding on Langchain ecosystem.
  • Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing.
  • Proficiency in vector databases (FAISS, Chroma DB, Pinecone) for efficient similarity search.
  • Strong expertise in fine-tuning transformer models, hyperparameter optimization, and
  • reinforcement learning.

  • In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
  • Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives.
  • Preferred Qualifications :

  • Experience in regulated industries such as healthcare, biopharma.
  • Contributions to AI research, open-source projects, or top-tier AI conferences.
  • Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks.
  • Proven ability to scale AI teams and lead complex AI projects in high-growth environments
  • (ref : hirist.tech)

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    Data Engineer • Bangalore

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