ML/AI Engineer – Classical ML

🔥 12 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Work with Data Science teams to implement Machine Learning models into production • Develop practical and innovative LLM/ML/AI automation implementations for scale and efficiency • Design, deliver, and manage industrialized processing pipelines • Define and implement best practices for ML model life cycles and ML operations/LLM operations • Implement AI/MLOps/LLMOps frameworks and support Data Science teams with best practices • Gather and apply knowledge of modern ML Architecture and Operations techniques, tools, and frameworks • Gather technical requirements and estimate planned work • Present solutions, concepts, and results to internal and external clients • Create technical documentation

🎯 Requirements

• At least 5+ years of Data engineering experience, including the last 3 years building data processing • Practical experience in ML-based production recommendation systems • At least 5+ years of experience developing production-ready Python code, such as microservices and APIs • At least 3+ years of experience developing production-ready ML-related code • Practical experience with MLOps/LLMOps tools such as AzureML/AzureAI or GCP VertexAI • Practical experience with Databricks • Good understanding of ML/AI concepts, including algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures • Good understanding of cloud concepts and architectures, with working knowledge of selected cloud services, preferably Azure or GCP • Experience in at least one of: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, or MLOps • Practical experience with Spark/PySpark and Hive within Big Data Platforms such as Databricks, EMR, or similar • Experience designing and implementing data pipelines • Good communication skills • Ability to work in a team and support others • Responsibility for tasks and deliverables • Problem-solving skills and critical thinking • Fluency in written and spoken English

🏖️ Benefits

• Stable employment with a company on the market since 2008 • 100% remote • Flexibility regarding working hours • Full-time position • 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, capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and 110+ training opportunities yearly • Opportunities for internal career growth • Diverse, inclusive, and values-driven community • Autonomy to choose the way you work • Referral bonuses • Activities to support well-being and health • Opportunities to donate to charities and support the environment