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Machine Learning Engineer (MLops)

Machine Learning Engineer (MLops)

ConfidentialBengaluru / Bangalore
30+ days ago
Job description
  • domain specific data.
  • Experience with RAG, Prompt Engineering concepts and fundamentals (Vector DBs).
  • Experience with containerization and orchestration technologies (Kubernetes, Docker).
  • In depth knowledge of machine learning, deep learning, and NLP.
  • Manage prioritization and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM.
  • Strong understanding of NLP techniques and framework such as BERT,GPT or Transformer models.
  • Create and manage best practices for ML models integration, orchestration, and deployment, that will ensure secure including data versioning, ingress and model output egress, CI / CD pipelines for MLOps and LLMOps.
  • Solid understanding of Machine learning concept and algorithm including supervised and unsupervised learning, model evaluation and deployment strategies in production environment.
  • Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system.

    • Skills Required  / Qualification

    • At least 8-10 years of experience in deploying end to end data science focused solutions.
    • Should be strong technical background eg B.Tech / M.Tech from top tier institutes.
    • Expertise in training and fine tune LLMs using popular framework such as (TensorFlow, PyTorch or hugging face transformer) and deployment tools (eg Docker, Kubeflow)
    • Good exposure in Python.
    • Knowledge in SQL, Pandas or Pyspark.
    • Good to have understanding knowledge on GitHub, Confluence and JIRA
    • Cloud Platforms knowledge have to : Azure / GCP
    • Experience of senior stakeholder management and strong communication / presentation skills
    • Excellent verbal and written communication skills.
    • Present technical solutions, capabilities, considerations, and features in business terms.

      • We offer :

    • A work culture focused on innovation and building lasting value for our clients and employees
    • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
    • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
    • A diverse, inclusive, meritocratic culture
    • Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement

      • Skills Required

      Orchestration, Github

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    Machine Learning Engineer • Bengaluru / Bangalore