AI Data Engineer
2 weeks ago
Responsibilites ● Own data pipelines end-to-end: Design, build, and operate batch/streaming ETL/ELT (positions, trades, prices, fundamentals, benchmarks, corporate actions, CRM, clickstream).● ML feature platform: Stand up and maintain offline/online features (e.g., client risk signals, asset factors, churn/upsell, RIA productivity), versioning, and lineage.● Model training & MLOps: Productionize models (forecasting, personalisation, anomaly/fraud detection, NLP document processing) with automated training, CI/CD, canary deploys, and drift/quality monitoring.● Data quality & governance: Implement contracts, unit tests, expectations, schema registry, lineage, catalogue, PII tokenisation, and role-based access.● Serving & APIs: Expose model/feature services with low-latency endpoints and scalable infra; partner with backend to integrate into advisor & client apps.● Cross-functional impact: Collaborate with Quant/Research, Product, and Compliance to translate business problems into robust data/ML solutions and measurable outcomes. What you’ve shipped ● 5+ years in data engineering/ML engineering (or equivalent), including owning production pipelines and shipping ML into production.● Expert in Python and one of SQL/Scala; strong with Spark/PySpark and a workflow orchestrator (Airflow/Prefect/Dagster).● Hands-on with cloud data stacks (AWS preferred: S3, Glue, EMR, Lambda/ECS/EKS, Step Functions; or GCP/Azure equivalents) and DBT or similar for transformations.● Built streaming systems with Kafka/Kinesis/PubSub; comfortable with event schemas and backfills.● MLOps experience with feature stores (Feast/Tecton), experiment tracking (MLflow/W&B), model registry, and model serving (SageMaker, Vertex AI, Triton, Ray Serve, or KFServing).● Production monitoring: data drift, model performance, alerting (Prometheus/Grafana, CloudWatch, Datadog).● Security basics: IAM, VPC segmentation, KMS, secrets, least-privilege, PII handling.Clear communicator who can turn ambiguous wealth-use cases into roadmaps and ship.
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AI Engineer
1 week ago
junagadh, India Optimeleon AI Full timeWhy Work With Us?Optimeleon is a fast-growing European startup at the forefront of website optimization, using cutting-edge AI to transform visitor experiences into conversions. We leverage the latest in AI technology, including large language models (LLMs) and multi-agent systems, to push the boundaries of what's possible in digital personalization. Join a...
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Senior ml engineer
4 weeks ago
Junagadh, India Soojh AI Full timeCompany Description Soojh AI is a leading AI services and consulting firm dedicated to helping businesses leverage the power of Artificial Intelligence and Generative AI for scalable efficiency. We offer end-to-end expertise for integrating AI into operations, building AI-driven products, or setting up in-house AI Labs and AI teams. Our track record includes...
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AI Data Architect
2 weeks ago
junagadh, India beBeeMachineLearning Full timeJob Summary:We are seeking a highly skilled AI/ML Engineer to lead our data engineering team.Lead architecture and deployment of AI solutions (LLM at scale).Drive automation of infrastructure, model lifecycle, and inference pipelines.Oversee CI/CD processes for AI workloads.Design secure, scalable cloud infrastructures.Act as technical advisor for...
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Senior Data Engineer
2 weeks ago
Junagadh, India Ironbook AI Full timeRole SummaryWe are looking for a Senior Data Engineer to design, build, and optimize high-performance data pipelines and data systems. The ideal candidate will have strong experience with cloud platforms, modern ETL/ELT tools, and deep technical skills in Python, SQL, and distributed data frameworks.Key ResponsibilitiesDesign, develop, and maintain scalable...
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AI Engineer
2 weeks ago
junagadh, India DesignNBuy Full timeAI Engineer – DesignO PlatformLocation: Ahmedabad / RemoteExperience: 2–5 yearsCompany: DesignNBuyRole OverviewDesignNBuy is adding AI-driven features in DesignO, including:- Artwork & template generation- Image editing and enhancement- Workflow automation- On-the-fly content and data storiesWe are looking for an engineer skilled in Python or Node.js who...
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Generative AI Engineer
2 weeks ago
Junagadh, India Live Connections Full timeRole - Generative AI EngineerExperience - 10 to 18 yearsWork Location - RemoteRequired Notice Period - Immediate Joiners or Serving Notice or 30 daysMust Have- Bachelor’s in CS/ML/AI or related field; Master’s or PhD preferred.- 5+ years of experience in ML/Data Science with a focus on generative AI, LLMs, or computer vision.- Expertise in large-scale...
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AI Engineer
7 days ago
junagadh, India TechKareer Full timeRole: AI Engineer Experience: 1–3 years Location: Mumbai / Bengaluru / Gurgaon (Hybrid: 3 days/week in office) Remote option for exceptional candidates. About the Role We're building production-grade AI workflows and agentic applications that power real user experiences. As an AI Engineer, you'll ship features end-to-end—from prompt design and evaluation...
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AI/ML engineer
2 weeks ago
Junagadh, India COZZERA INTERNATIONAL LLP Full timeJD: AI/ML Python Engineer – RAG & LLM SystemsLocation: Pune (On-Site)Experience: 4+ yearsJob DescriptionWe are looking for a highly skilled AI/ML Python Engineer with hands-on experience in LLMs (Llama), RAG pipelines, vector databases, and backend API development. The ideal candidate is strong in Python, machine learning workflows, embeddings, and...
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AI Data Specialist
5 days ago
junagadh, India beBeeAnnotation Full timeWe are seeking detail-oriented and skilled professionals to join our global remote teams as AI Data Annotation Analysts.As an Analyst, you will perform annotations across various modalities including text, image, and video to deliver high-quality datasets essential for training cutting-edge Generative AI models.Annotate high-quality training data across...
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AI-Powered Data Solutions Architect
2 weeks ago
junagadh, India beBeeData Full timeAbout the Role: This is a high-impact opportunity to design, build, and operationalise AI-powered workflows, agents, and applications that are deeply integrated into critical business domains. The programme focuses on leveraging retrieval-augmented generation (RAG), ontology-augmented generation (OAG), and advanced data engineering pipelines to transform how...