Job Title: ML/AI Engineer | GenAI Engineer
Location
- India (Remote)
About Lingaro
Lingaro Group is an end-to-end data services partner for global brands and enterprises. Since 2008, Lingaro has been recognized for innovation, technology excellence, and delivering top-quality data services. Our environment attracts top global data talent.
About DS/AI Competency Center
- Focuses on leveraging data, analytics, and AI technologies.
- Develops insights, predictive models, and AI-powered solutions.
- Utilizes Exploratory Data Analysis, Statistical Modeling, Machine Learning, Model Deployment & Monitoring.
Website
Key Duties
- Building high-performing, scalable, enterprise-grade LLM/AI applications in cloud environments.
- Collaborate with Data Science teams to implement Generative AI and Machine Learning models.
- Innovate and implement automation for LLM/ML/AI for efficiency.
- Design, delivery, and manage processing pipelines.
- Define and implement best practices in ML/AI model lifecycle and operations.
- Support Data Science teams with MLOps/LLMOps frameworks.
- Gather modern techniques, tools, and frameworks knowledge.
- Gather technical requirements and estimate work.
- Present solutions and results to clients.
- Create technical documentation.
Requirements
Must Have
- 4+ years of production-ready Python code development (microservices, APIs).
- 2+ years of ML-related code development.
- 1+ years of LLM-related code development, preferably with Retrieval Augmented Generation.
- Experience with Generative AI models & APIs.
- Familiarity with LLM orchestrators like Langchain.
- Knowledge of LLM evaluators, validators, and guardrails.
- Understanding of LLMOps concepts.
- Experience with GenAI applications in frameworks like Streamlit.
- Experience with MLOps/LLMOps tools (AzureML, GCP VertexAI).
- Good understanding of ML/AI concepts and cloud architectures.
- Excellent communication skills.
- Teamwork and responsibility.
- Critical thinking and problem-solving.
- Fluency in English.
Nice to Have
- Experience with Python-based ML algorithms and pipelines.
- Knowledge of CI/CD, DevOps tools.
- Experience in productizing solutions using Spark, Databricks, Docker, Kubernetes.
Why Join Us
- Stable employment since 2008.
- 100% remote work.
- Flexible hours.
- Full-time.
- Online onboarding with a Buddy.
- Collaborate with top-tier engineers.
- Access to Udemy platform.
- Certification programs.
- Upskilling and development programs.
- Internal promotions.
- Diverse community.
- Autonomy and ideas-driven.
- Community and charity support activities.
Application
Click here to apply.
Job Highlights
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