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Senior Data Engineer - Gen AI

  • ON, Canada
  • Ontario, Canada, Canada

$100,000 to $110,000 USD / year · Full-time

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Job details

Pay
$100,000 to $110,000 USD / year
Job type
Full-time
Apply by
Experience
6-10 years of relevant experience in Apps Development or systems analysis role
Posting language
English
Posted

Original job description


Role description

6-10 years of relevant experience in Apps Development or systems analysis role



Core AIML Foundations


o Strong foundational knowledge in GenAI Machine Learning ML modeling Data Science Statistics and AI fundamentals including Natural Language Processing NLP Neural Networks and Large Language Models LLMs


Generative AI LLM Expertise


o Extensive handson experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other opensource LLMs


o Critical Deep working knowledge and handson experience with RetrievalAugmented Generation RAG pipelines including advanced RAG techniques and their detailed implementation


o Proven ability to build tune and deploy LLMbased applications using platforms like Vertex AI Hugging Face etc


o Expertise in developing robust prompt engineering strategies prompt tuning and creating reusable prompt templates


o Handson experience with agentic frameworkbased use case implementation


o Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features


Programming Data Engineering


o Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain and LlamaIndex


o Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools


o Handson experience with various vector databases eg PG Vector Pinecone Mongo Atlas Neo4j for efficient data storage and retrieval


o Experience in dealing with large amounts of unstructured data and designing solutions for highthroughput processing


Deployment MLOps


o Critical Handson experience deploying GenAIbased models to production environments


o Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines


o Strong expertise in CICD principles and tools eg Jenkins GitLab CI Azure DevOps ArgoCD for automated builds testing and deployments


Cloud Containerization


o Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying managing and scaling containerized applications in a cloudnative environment


Soft Skills


o Strong problemsolving abilities excellent collaboration skills for working effectively with crossfunctional teams and the capability to work independently on complex ambiguous problems

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”):


Benefits and Perks:



  • Comprehensive Medical Plan Covering Medical, Dental, Vision

  • Health Care Spending Account

  • Short Term and Long-Term Disability Coverage

  • Life Insurance

  • Annual vacation and other Paid Leaves

  • Maternity Leave Top Up Pay


The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.



Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Accessibility and Reasonable Accommodation:
LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at so that arrangements can be made for the appropriate accommodations to be in place.
More about this job

Responsibilities

The Senior Data Engineer will be responsible for building, tuning, and deploying LLM-based applications and implementing advanced RAG techniques. They will also integrate generative AI with enterprise applications and ensure robust deployment pipelines.

Requirements

Candidates should have 6-10 years of relevant experience in applications development or systems analysis, with strong foundational knowledge in GenAI and machine learning. Proficiency in Python and hands-on experience with various AI and data engineering tools are essential.

Skills

  • GenAI
  • Machine Learning
  • Data Science
  • Natural Language Processing
  • Neural Networks
  • Large Language Models
  • Retrieval-Augmented Generation
  • Prompt Engineering
  • Python
  • MLOps
  • CICD
  • Containerization
  • OpenShift
  • Kubernetes
  • Vector Databases
  • APIs

Benefits

  • Comprehensive Medical Plan
  • Covering Medical
  • Dental
  • Vision
  • Health Care Spending Account
  • Short Term and Long-Term Disability Coverage
  • Life Insurance
  • Annual Vacation and Other Paid Leaves
  • Maternity Leave Top Up Pay

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Consulting
  • Engineering

Keywords

  • GenAI
  • Machine Learning
  • Data Science
  • Natural Language Processing
  • Neural Networks
  • Large Language Models
  • Retrieval-Augmented Generation
  • Python
  • MLOps
  • CICD
  • OpenShift
  • Kubernetes
  • Vector Databases
  • APIs
  • Hugging Face
  • Vertex AI
  • Pandas
  • NumPy
  • scikit-learn
  • PyTorch
  • TensorFlow
  • Transformers
  • FastAPI
  • Seaborn
  • LangChain
  • LlamaIndex
  • Google Gemini
  • OpenAI
  • Anthropic Claude
  • Mistral

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