1465 Mlflow Jobs - Page 19

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Career Level - IC4 Responsibilities We are looking for an enthusiastic AI/ML Developer with 3-5 years of experience to design, develop, and deploy AI/ML solutions. The ideal candidate is passionate about AI, skilled in machine learning, deep learning, and MLOps, and eager to work on cutting-edge projects. Key Skills & Experience: Programming: Python (TensorFlow, PyTorch, Scikit-learn, Pandas). Machine Learning: Supervised, Unsupervised, Deep Learning, NLP, Computer Vision. Model Deployment: Flask, FastAPI, AWS SageMaker, Google Vertex AI, Azure ML. MLOps & Cloud: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines. Big Data & Databases: Spark, Dask, SQL, NoSQL (PostgreSQL, MongoDB). Soft Skills: Strong analytical and problem-solving mindset. Passion for AI innovation and continuous learning. Excellent teamwork and communication abilities. Qualifications: Bachelor’s/Master’s in Computer Science, AI, Data Science, or related fields. AI/ML certifications are a plus. Diversity & Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. . Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Technical Authority In this role, you will have the opportunity to support engineering activities in all types of project sizes and complexities, under the supervision of senior engineers. Each day, you will complete the tasks cost-effectively and in accordance with contract specifications, quality standards, safety requirements, and cybersecurity policies and standards. You will also showcase your expertise by collecting data and supporting production of the engineering design. The work model for the role is: L1-Onsite This role is contributing to the Process Automation Business in Energy Industries in Bangalore, india You will be mainly accountable for: Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns. Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems. Evaluate the performance of machine learning models and fine-tune them for optimal results. Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders. Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes. Work with data engineers to integrate, transform, and store data from various sources. Qualifications for the role Engineering graduate with exposure to Data science from a reputed institution 2+ Years of experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction. Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have. Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams. More about us The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

About this role: Wells Fargo is seeking a Senior Lead Business Execution Consultant. Shared Services Operations - Operational Excellence team is seeking an Applied Data Scientist with a strong data science background to deliver traditional AI and Generative AI solutions for driving operational efficiencies, improve internal and external customer experiences with the use of AI. The candidate needs to possess a mix of technical expertise, creative problem-solving skills, and the ability to align AI solutions with business needs. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions. Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives. Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies. Familiarity with using diffusion models or multimodal AI depending on the use cases. Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud or hybrid environments. Strong hold on tokenization, embeddings, and model evaluation metrics. Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives. Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 7+ years of Data Science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, research and education. Bachelors/masters degree in a discipline such as Data Science, Computer Science, statistics, or mathematics. Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace. Experience in using ML Ops tools (e.g., MLflow, Kubeflow) for scaling and deploying models in production. Experience working with on Google Cloud Platform and expertise in using the GCP services. Expertise in Scala for processing large-scale data sets for use cases. Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs. Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications. Critical thinking and strong problem-solving skills. Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly. Ability to multi-task and prioritize between projects and able to work independently and as part of a team. Graduate degree from a top tier university (e.g., IIT, ISI, IIIT, IIM, etc.,) is preferred. Job Expectations: Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. Mentor and coach budding Data Scientists on developing and implementing AI solutions. Perform various complex activities related to neural networks and transformer-based models. Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies. Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders. Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. Experience in building quick prototypes to check feasibility and value to business. Expert in developing and maintaining modular codebase for reusability. Review and validate models and help improve the performance of the model under the preview of regulatory requirements. Work closely with technology teams to deploy the models to production. Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements.