AI/ML Engineer

4 weeks ago

Delhi, India Lingaro Full time
AI/ML Engineer – Senior ConsultantAI Engineering Group is part of Data Science & AI Competency Center and is focusing technical and engineering aspects of DS/ML/AI solutions. We are looking for experienced AI/ML Engineers to join our team to help us bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators.

Duties description:The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team. The key duties are:Building high-performing, scalable, enterprise-grade LLM/AI applications in cloud environmentWorking with Data Science teams to implement GenerativeAI and Machine Learning models into productionPractical and innovative implementations of LLM/ML/AI automation, for scale and efficiencyDesign, delivery and management of industrialized processing pipelinesDefining and implementing best practices in GenAI/ML models life cycle and ML operations/LLM operationsImplementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practicesGathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and OperationsGathering technical requirements & estimating planned workPresenting solutions, concepts and results to internal and external clientsCreating technical documentation

Must have skills:Must have skills:At least 3+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)At least 2+ years of experience in production-ready ML-related code developmentAt least 1+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval Augmented Generation concept (RAG)Good understanding and experience with GenerativeAI models APIs (Large Language Models/Large Multimodal Models)Good understanding and experience with LLM orchestrators (e.g., Langchain, etc.) and concepts (RAG, in-context learning, fine-tuning)Good understanding of LLM evaluators, validators, and guardrailsGood understanding of LLMOps concepts like GenAI operationalization\scaling (e.g., LLMs serving, performance & API Gateways, LLMs tracking & monitoring)Experience in developing GenAI apps in rapid frameworks (e.g., Streamlit)Experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAIGood understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architecturesGood understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCPGood communication skillsAbility to work in a team and support othersTaking responsibility for tasks and deliverablesGreat problem-solving skills and critical thinkingFluency in written and spoken English.

Nice to have skills & knowledge:Experience in designing, programming ML algorithms, and data processing pipelines using PythonGood 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.

We Offer:Stable employment.

On the market since 2008, 1300+ talents currently on board in 7 global sites.100% remote.Flexibility regarding working hours.Full-time positionComprehensive online onboarding program

with

a “Buddy” from day 1.Cooperation with top-tier engineers and experts.Internal Gallup Certified Strengths Coach to support your growth.Unlimited access to the Udemy

learning platform

from day 1.Certificate training programs.

Lingarians earn 500+ technology certificates yearly.Upskilling support.

Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.Grow as we grow as a company.

76% of our managers are internal promotions.A diverse, inclusive, and values-driven community.Autonomy to choose the way you work.

We trust your ideas.Create our community together.

Refer your friends to receive bonuses.Activities to support your

well-being and health.Plenty of opportunities to donate to charities and support the environment.

Application Link

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