18519 Tuning Jobs - Page 43

Experience : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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!

Description Details Job Title Technical Lead Reporting to Senior Technical lead Location Hyderabad Working Hours/ Days 5 Days Shift 2:00 PM to 11:00 PM IST (There can be fortnightly/ monthly call between 06:30am-2pm IST) Team Size 10 Desired skills and qualification  Expert-level SQL and PL/SQL development skills  Excellent skills with SQL (advance queries, tuning)  Exposure in writing complex and optimized SQLs/Stored Good understanding of core Oracle concepts  Good knowledge of Oracle advanced querying techniques and writing high performing and optimized queries  Good Team Player Qualifications:  A strong internal drive for pursuing continuous improvement  Bachelor’s degree in Computer Science or a related field  Minimum 3 to 5 years programming experience in PL/SQL and Shell Scripting  Expert-level SQL and PL/SQL development skills  Good exposure with SQL Server, Plsql  Highly exposed with o Oracle Plsql o Shell scripting o SQL- Functions, Tirggers, Joints o My-SQL  Web service architecture and .NET web service programming techniques  T-SQL programming language and stored procedure authoring  Unit test cases automation  Ability to work as part of a scrum team, including ability and willingness to hit

Role Summary We're looking for a hands-on AI Tech Lead to architect and guide the development of cutting-edge AI/ML systems. This role blends deep technical ownership with team collaboration, with an emphasis on production-grade ML, real-time systems, and practical deployment strategies. Key Responsibilities Lead AI/ML architecture and infrastructure design, with a focus on performance and scalability Collaborate with Full Stack and Product teams to deploy ML models into production pipelines Guide research and experimentation cycles (LLMs, vision models, custom models) Mentor engineers and contribute to a high-performance AI engineering culture Requirements 6+ years in AI/ML engineering roles, 2+ in technical leadership Deep experience with LLMs, model fine-tuning, deployment (e.g., Triton, TorchServe, ONNX) Strong Python/ML stack: PyTorch, TensorFlow, HuggingFace, LangChain, etc. Strong systems thinking, with background in production-grade AI systems

Experience : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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 : 5.00 + years Salary : INR 4500000.00 / year (based on experience) Expected Notice Period : 15 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 - Portcast) What do you need for this opportunity? Must have skills required: Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL Portcast is Looking for: About the role: We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems. What You’ll Do: Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance Build, test, and deploy real-time prediction models, maintaining version control and performance tracking To thrive in this role, you must have: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field 5+ years of experience in building, deploying, and scaling machine learning models in production environments Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments Experience working in a product-based company, preferably within a startup environment with early-stage technical product development Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with real-time data processing, anomaly detection, and time-series forecasting in production Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset Engagement Type: Direct-hire Job Type: Permanent Location: Remote Working time: 9:00 AM to 6:00 PM IST 5 rounds 15 mins - HR screening call with G 30 mins - Interview with HM 3-5 days- Take Assignment 30 mins - Tech panel interview 30 mins - CEO interview (cultural fit round) 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!

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Strategic Leadership Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. Collaborate with executive leadership to align AI strategy with overall business goals. Technology & Research Oversight Lead architecture and development of intelligent agent frameworks (e.g., goal-driven, tool-using agents). Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). Team Management & Collaboration Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. Foster a strong interdisciplinary culture of innovation and experimentation. Collaborate cross-functionally with data engineering, product, legal, and design teams. Operational Excellence Oversee data pipelines, model training, inference infrastructure, and model governance. Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. Ensure ethical and responsible AI development practices are followed. Mandatory Skill Sets GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). Preferred Skill Sets Lang Experience in industries such as finance, consulting Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI system Years Of Experience Required 14-17 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Influence, Innovation, Intellectual Curiosity {+ 37 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Hi, We are having an opening for Network Security Operations Manager at our Mumbai location. Job Summary : We are looking for a highly capable Network Security Operations Manager to lead, manage, and enhance the organizations network security infrastructure and operations. This role will be responsible for managing key security technologies such as firewalls, proxies, VPNs, NAC, DNS security, WAF , EDR & Data Security and ensuring operational governance and compliance. The ideal candidate should have hands-on experience managing large-scale network security operations and coordinating with cross-functional and incident response teams. Areas Of Responsibility : Security Operations Management Lead day-to-day operations of all network security tools and platforms , including: Firewalls (NGFW Palo Alto, Fortinet, Cisco)- Policy governance, segmentation, and high-availability Web Proxy & Cloud Proxy (e.g., Zscaler, Netskope)- URL filtering, threat prevention, and data leak protection VPN (IPSec, SSL VPN, Remote Access Solutions)- Strong encryption and access control for workforce and partner Network Access Control (NAC)- Role-based access, posture checks, and OT/IoT security DNS Security & Filtering- DNS-layer protection, malicious domain filtering, and response management Web Application Firewall (WAF) On-prem & Cloud-based- Protection of patient data, portals, financial apps, and APIs Ensure continuous monitoring, tuning, and updating of policies and signatures across platforms. Manage security device configurations, rule optimization, and lifecycle management. Compliance, Audit & Governance Ensure adherence to security compliance requirements such as ISO 27001, NIST, GDPR, and internal IT security policies . Ensure full compliance with sector-specific regulations ( Pharma: GxP, 21 CFR Part 11, HIPAA) Prepare and present periodic audit reports, incident reports, and configuration review summaries . Drive risk assessments and remediation plans for security operations. Maintain security documentation, SOPs, and audit trails Team & Vendor Management Lead and mentor a team of network security engineers and analysts. Oversee vendor engagements, support contracts, SLAs, and AMC renewals for security technologies. Engage with audit, QA, compliance, and legal teams for incident reporting and regulatory inspections Coordinate with for integrated security coverage (EDR/DS, if escalation/overlap arises). Incident Response & Troubleshooting Collaborate with SOC for effective investigation and response to network security incidents . Coordinate the response to security incidents, including detection, analysis, containment, eradication, and recovery. Lead root cause analysis and containment for network-based threats (e.g., suspicious VPN activity, firewall rule violations). Manage escalations and coordinate with external vendors or OEMs for critical issues. Projects & Improvements Drive security hardening and optimization projects related to network security tools. Lead or support security hardening, firewall rule optimization, and proxy architecture redesign projects Lead or contribute to technology upgrades, migration projects, mergers, acquisitions, data center shifts. Maintain security documentation, playbooks, and standard operating procedures. Prepare and validate BOM, BOQ, and risk registers for new deployments Educational Qualification : Bachelor's or Masters in Computer Science, Information Security, or related field Specific Certification : CISSP, CISM, CCNP Security, CP, Palo Alto PCNSE, Fortinet NSE, ISO 27001 LA Experience : 10-12 years of experience in network operations, with 3-5 years in leadership or managerial role Skill (Functional & Behavioural): Firewalls: Checkpoint, Fortinet, Palo Alto, Cisco Firepower Proxies: Netskope, Forcepoint, Zscaler VPN: Cloudflare, Cisco AnyConnect, FortiClient, GlobalProtect NAC: Forescout, Cisco ISE, Aruba ClearPass DNS Security: Cisco Umbrella, Infoblox, Cloudflare DNS WAF: AWS/Azure WAF, F5, Imperva, Akamai, Cloudflare EDR & DS: Crowdstrike, Falcon, Trellix, MS Defender, Sentinel, etc

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " We are looking for a Senior Data Engineer with deep experience in SnapLogic, SQL, ETL pipelines, and data warehousing, along with at least 3-4 years of hands-on experience with Databricks. The ideal candidate has a strong background in designing scalable data solutions and working across cloud and big data environments. Familiarity with Python is a strong plus. Responsibilities Design, build, and maintain data integration and ETL pipelines using SnapLogic Develop and optimize complex SQL queries to support business analytics and reporting Work with structured and unstructured data in large-scale data warehouse environments Leverage Databricks for advanced data processing, transformation, and analytics Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements Ensure data quality, integrity, and governance across platforms Create clear documentation for data workflows, architecture, and processes Participate in code reviews and promote best practices in data engineering Required Qualifications: 5+ years of experience with SnapLogic in enterprise-level data integration projects 6+ years of experience with ETL pipeline development and data warehousing Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) Solid understanding of cloud data ecosystems and data modeling principles Excellent problem-solving and communication skills Preferred / Nice-to-Have Skills: Experience with Python for scripting or data processing tasks Familiarity with CI/CD practices Knowledge of data governance, privacy, and compliance best practices SAC JD: Solution Design & Development: o Design, develop, and implement SAP SAC solutions. o Create data models, stories, and dashboards in SAC. o Develop custom SAC applications using scripting and advanced analytics features. Data Integration & Management: o Integrate SAC with various data sources including SAP HANA, BW, S/4HANA, and other external sources. o Ensure data accuracy, consistency, and quality in SAC solutions. Stakeholder Collaboration: o Work closely with business stakeholders to gather requirements and translate them into technical specifications. o Collaborate with cross-functional teams to deliver end-to-end analytics solutions. Performance Optimization: o Optimize SAC solutions for performance and scalability. o Troubleshoot and resolve issues related to SAC solutions. Documentation & Training: o Document SAC solutions, including data models, design specifications, and user manuals. o Provide training and support to end-users and other team members. Proficiency in SAP SAC, including data modeling, story creation, and dashboard development. Strong understanding of SAC data connectivity options and integration with various data sources. Experience with SAP HANA, SAP BW, and S/4HANA. Proficient in SAC scripting and advanced analytics capabilities. Solid understanding of data visualization principles and best practices. Mandatory Skills Sets CSV Preferred Skills Sets LIMS/QMS Years Of Experience Required 4-8 years Education Qualifications B.Tech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Creating Shared Value (CSV) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Experience - 5-8 years Notice Period - Immediate Joiner only F2F Drive on 1st August 5 years hands on experience in ReactJSNodejs React class based component and life cycle methods React function based component and React Hooks methods Redux framework and state management Express JS middleware authentication and authorization JESTEnzyme for unit test case Styled component in CSS CSS preprocessor less HTTP network request REST API Proficient in HTML responsive CSS JavaScript JSON data handling Proficient in asynchronous programming Promise asyncawait callback Should be good with debugging in JavaScript Hands on experience for Jenkin GIT SonarQube Checkmarks Nexus Goods to have performance tuning MongoDB This job is provided by Shine.com

Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models Design and develop prompts suiting project needs Lead and manage team of prompt engineers Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering Key Responsibilities Strategy As the ML Engineer of AI ML Delivery team, the candidate is expected to solutionise, Develop Models and Integrate pipeline for Delivery of AIML Use cases. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage terms of project assignments and deadlines Work with the team dedicated for models related unstructured and structured data. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills And Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Managemen Must Have Hands on experience in Kubernetes and Docker Hands on in Azure Cloud services (VMSS, Blob, AKS, Azure LB) Azure Devops tools CI/CD Hands on in Terraform Good To Have Azure OpenAI Grafana and monitoring Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience Strong proficiency with Python, DJANGO framework and REGEX Good understanding of Machine learning framework Pytorch and Tensorflow Knowledge of Generative AI and RAG Pipeline Good in microservice design pattern and developing scalable application. Ability to build and consume REST API Fine tune and perform code optimization for better performance. Strong understanding on OOP and design thinking Understanding the nature of asynchronous programming and its quirks and workarounds Good understanding of server-side templating languages Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments Integration of APIs, multiple data sources and databases into one system Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server. Understanding fundamental design principles behind a scalable and distributed application Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment. Implementing automated testing platforms, unit tests, and CICD Pipeline About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Synechron is a leading digital consulting firm with 15000+ collaborative employees across 55 global offices across 20+ countries. From our solid financial services industry foundation, we have become a prominent global digital consulting firm for large financial services and technology firms. With a key focus on trust, and in partnership with our clients, we’re leading modernization and digital optimization journeys with expertise that spans Consulting, Data, Design, Cloud and Engineering across various industries. We can provide you with customized end-to-end solutions that drive business value. We are looking for an experienced and motivated Full stack developer who can join us less than 30 days in our Dubai office . Would you like to develop your skills and refine your craft in a pioneering technology company, where you'll join a highly collaborative, growing team and support their cutting-edge core platform? Experience Minimum 5 years of coding experience in NodeJS, JavaScript & TypeScript and NoSQL Databases. · Developing and implementing highly responsive user interface components using React concepts. (self-contained, reusable, and testable modules and components) · Minimum 5 years of coding experience in ReactJS (TypeScript), HTML, CSS-Pre-processors, or CSS-in-JS in creating Enterprise Applications with high performance for Responsive Web Applications. · Architecting and automating the build process for production, using task runners or scripts · Knowledge of Data Structures for TypeScript. · Monitoring and improving front-end performance. · Banking or Retail domains knowledge is good to have. · Hands on experience in performance tuning, debugging, monitoring. Technical Skills Excellent knowledge developing scalable and highly available Restful APIs using NodeJS technologies Well versed with CI/CD principles, and actively involved in solving, troubleshooting issues in distributed services ecosystem Understanding of containerization, experienced in Dockers, Kubernetes. Exposed to API gateway integrations like 3Scale. Understanding of Single-Sign-on or token-based authentication (Rest, JWT, OAuth) Possess expert knowledge of task/message queues include but not limited to: AWS, Microsoft Azure, Pushpin and Kafka. Practical experience with GraphQL is good to have. Writing tested, idiomatic, and documented JavaScript, HTML and CSS Experiencing in Developing responsive web-based UI Have experience on Styled Components, Tailwind CSS, Material UI and other CSS-in-JS techniques Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Documenting the code inline using JSDoc or other conventions Thorough understanding of React.js and its core principles Familiarity with modern front-end build pipelines and tools Experience with popular React.js workflows (such as Flux or Redux or ContextAPI or Data Structures) A knack for benchmarking and optimization Proficient with the latest versions of ECMAScript (JavaScript or TypeScript) Knowledge of React and common tools used in the wider React ecosystem, such as npm, yarn etc Familiarity with common programming tools such as RESTful APIs, TypeScript, version control software, and remote deployment tools, CI/CD tools An understanding of common programming paradigms and fundamental React principles, such as React components, hooks, and the React lifecycle Unit testing using Jest, Enzyme, Jasmine or equivalent framework Understanding of linter libraries (TSLINT, Prettier etc) We are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmer to support our global workforce. Empowerment and collaboration are at the core of how we operate.

Leading Jewellery Brand requires Area manager( Operations)- Mumbai/Thane/ Navi Mumbai We are looking out for Area manager( Operations) for Mumbai/ Thane or Navi Mumbai locations PFB the JD and details- Customer Focus Cultivating Customer Loyalty Champion a customer-centric culture by prioritizing customer satisfaction and loyalty across all retail stores. Drive the Customer Experience (CX) governance frameworks to standardize service quality across all retail stores. Benchmark and adopt best practices for improving customer engagement, fostering customer loyalty. Ensure seamless execution of loyalty programs, promotions, and customer feedback mechanisms. Train team members, including Cluster Managers, Store Managers, on customer service best practices to maintain high standards of service quality. Sales Mastery -Drive PL management, maximising profitability (EBITA) while optimizing costs and resources.- Develop and execute strategic sales plans to achieve revenue targets and store profitability. Conduct comprehensive market, season and competitor analysis to identify trends and refine sales approaches. Developing plans and value-added solutions designed to assure achievement of agreed to the volume, market share and profit objectives. Conceptualizing implementing development strategies for acquiring business from clients and effectively using existing accounts. Analysing latest marketing trends and tracking competitors activities and providing valuable inputs for fine tuning sales marketing strategies. Leading, training monitoring the performance of team members to ensure efficiency in service operations and meeting of individual group targets. Creating and sustaining a dynamic environment that fosters career development opportunities and motivates high performance amongst team members. Skills Qualifications Experience in sales, with a focus on working with channel partners, retailers, and in the Jewelry industry. A Masters or bachelor's degree in business, sales, marketing, or a related field. Proven track record of meeting or exceeding sales targets in a similar role. Strong verbal and written communication skills. Ability to engage and influence key stakeholders across multiple industries. Ability to build and maintain strong professional relationships with diverse groups of clients and partners. Strong ability to identify challenges and provide innovative solutions to drive business growth Skills Qualification Experience Must have excellent English communication skills and good knowledge in computer, Advanced Excel Any Graduate 7- 12 years relevant of relevant experience. in only jewellery industry If the position interests you and you find a fitment kindly share your cv at career@megmaservices.co.in or contact Pranav- 7011354635 Also share the following details current ctc n notice period Expected ctc Current and preferred location Relevant experience in managing multiple jewellery retail stores This job is provided by Shine.com