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ML/AI Engineer - Senior Consultant

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Lingaro

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Location:
India

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Responsibility:

  • Working with Data Science teams to implement Machine Learning models into production
  • Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
  • Design, delivery and management of industrialized processing pipelines
  • Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
  • Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
  • Gathering technical requirements & estimating planned work
  • Presenting solutions, concepts and results to internal and external clients
  • Creating technical documentation

Requirements:

  • At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
  • At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
  • At least 3+ years of experience in production-ready ML-related code development
  • Practical experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI
  • Practical experience with Databricks
  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
  • Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP
  • Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
  • Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
  • Experience in designing and implementing data pipelines
  • Good communication skills
  • Ability to work in a team and support others
  • Taking responsibility for tasks and deliverables
  • Great problem-solving skills and critical thinking
  • Fluency in written and spoken English

Nice to have:

  • Experience in designing, programming ML algorithms, and data processing pipelines using Python
  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
  • Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes
What we offer:
  • Stable employment
  • “Office as an option” model
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

Additional Information:

Job Posted:
January 05, 2026

Work Type:
Remote work
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