🚀 We are Hiring: Senior Engineer – AI/ML
2 weeks ago
🚀 We are Hiring: Senior Engineer – AI/ML (Databricks Certified) | 8+ Years | Remote | Full-TimeWe’re looking for a highly skilled AI/ML Engineer with proven expertise in developing, deploying, and optimizing AI models on the MosaicAI Databricks platform for one of our client.If you’re passionate about building next-gen AI systems on distributed data platforms, this is a great opportunity to join a dynamic and forward-thinking team📍 Location: Remote (India)💼 Employment Type: Full-Time📅 Experience: 8+ Years⚡ Immediate Joiners Preferred (Notice period ≤ 15 days)🔹 Key ResponsibilitiesGenerative AI: Experience of LLM-based solutions (LlamaIndex, LangChain, RAG pipelines, or similar frameworks). Ability to integrate GenAI and Agentic AI into business workflows.Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Vector SearchDesign, build, and deploy large-scale AI/ML models using the Databricks environment.Implement data validation, lineage, and monitoring using Delta Live Tables and Unity Catalog.Leverage Databricks’ data engineering workflows for feature engineering, model training, and evaluation.Optimize training pipelines for efficiency, scalability, and accuracy.Integrate AI models into production systems using APIs and microservices.Build reusable ML pipelines using Databricks Repos, MLflow, and Feature Store.Implement robust testing, monitoring, and retraining protocols for deployed models.Ensure adherence to compliance, security, and performance standards.Stay updated on advancements in AI frameworks, distributed computing, and Databricks platform updates.🔹 Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or related field.Cerified Databricks Certified Generative AI EngineerProven experience developing AI solutions on Databricks.Strong knowledge of Python, PySpark, MLflow, Spark and Databricks Notebooks.Strong understanding and knowlege of Databricks platform features such as Unity Catalog, DLT, MosaicAI, Data Assets Bundles, etc.Experience with Transformer-based models, generative AI, and Databricks pipelines.Proficiency in integrating AI models with cloud-native architectures (AWS, Azure, or GCP).Solid understanding of MLOps practices, Data Assets bundles (CI/CD), and containerization (Docker, Kubernetes) on Databricks Platform.Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).Strong problem-solving, analytical thinking, and communication skills.📩 Interested?Please share your updated profile at career@strive4x.net with the following details:Position Applied ForNameMobile NumberTotal ExperienceCurrent & Expected CTCNotice Period (should be ≤ 15 days)Current LocationAre you Databricks Certified? (Yes/No)Do you have a valid PF account? (Yes/No)Do you have experience documents for all previous employments? (Yes/No)#Databricks #AIEngineer #GenerativeAI #MosaicAI #LLM #LangChain #LlamaIndex #RAG #MLOps #PySpark #Spark #Python #DataEngineering #UnityCatalog #DLT #DeltaLake #FeatureStore #MachineLearning #RemoteJobs #AIJobs #HiringNow #TechJobsIndia #Strive4X #FullTimeJobs #ImmediateJoiner #RemoteIndia
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