As a Senior / Lead Backend Developer at our company based in Mangalore, you will be responsible for leveraging your expertise in .NET and T-SQL to build robust solutions and troubleshoot complex issues. With a minimum of 5+ years of professional experience in backend software development, you will focus on systems using .NET Framework / .NET Core (C#). Your role will entail proven, significant experience in backend software development utilizing the .NET framework / .NET Core, including proficiency in T-SQL for writing and optimizing complex queries, stored procedures, functions, and understanding database design principles, preferably with MS SQL Server. You will be expected to demonstrate the ability to read, understand, and analyze complex legacy code to determine functionality and troubleshoot issues effectively. Moreover, your strong analytical and problem-solving skills will be crucial in debugging and resolving production system issues. You will have the opportunity to lead technical initiatives or mentor junior engineers, with formal team lead experience being a strong advantage for a Lead level role. Your role will also require a solid understanding of the software development lifecycle (SDLC), APIs, and backend architecture patterns. Effective communication and interpersonal skills will be essential in collaborating with team members and stakeholders to deliver high-quality solutions. If you are a skilled programmer with expertise in programming and are open to working in .NET as a programming language, we are open to considering your application. Join us in creating innovative solutions and driving technical excellence in a dynamic work environment.,
As an ideal candidate for this sales position, you should have a proven track record in product sales, particularly in the enterprise sector. Your background should include a B.Tech degree and at least 7 years of experience in sales. It is essential that you are comfortable working independently and have a keen interest in contributing individually to the team's success. Additionally, experience in the CDP domain or CRM will be advantageous. The role requires a minimum of 7 years of sales experience, with a preference for candidates with 7 to 9 years of experience. The position is based in Bangalore and will be an onsite job. To qualify for this position, you must hold an undergraduate degree in engineering. An MBA from premier institutes would be considered a plus. In this role, you will be expected to leverage your consultative sales experience to drive results. A strong work ethic is crucial, as you will be responsible for meeting and exceeding sales commitments. Previous experience in selling to enterprises, particularly banks and insurance companies, will be highly valued. A deep understanding of technology and its value proposition, especially in areas such as big data analytics, machine learning, and personalization, is essential. If you meet these requirements and are excited about the opportunity to contribute to a dynamic sales team, we would love to hear from you.,
Position: AIML_Python Enginner Kothapet_Hyderabad _Hybrid.( 4 days a week onsite) Contract to hire fulltime to client. We’re mainly looking for someone who can go 4 days a week onsite in Hyderabad. Role Description: 5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment 4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc. 3+ years of development of apis using FastAPI, Flask, Django 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow. Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless Good to have experience in H2O.ai Good to have experience in containerization using Docker and Orchestration using Kubernetes.
Position: Python Engineer (Scripting ML Flow) Kothapet_Hyderabad _Hybrid.( 4 days a week onsite mandatory) Contract to hire fulltime to client. Role Description: 5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment 4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc. 3+ years of development of apis using FastAPI, Flask, Django 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow. Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless Good to have experience in H2O.ai Good to have experience in containerization using Docker and Orchestration using Kubernetes.
C2C Job Opportunity ( 6 +yrs of experience ) Mandatoty skill - Python experience and solid understanding of ML lifecycle We have an excellent opportunity for an AI/ML Python Engineer. This is a contract position with our client, Citizen Bank, located in Hyderabad. We are specifically looking for a candidate who can commit to working four days a week on-site in Hyderabad. Please find the detailed job description below for your review. Position: AIML_Python Enginner Kothapet_Hyderabad _Hybrid.( 4 days a week onsite) Contract to hire fulltime to client. 5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment 4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc. 3+ years of development of apis using FastAPI, Flask, Django 3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow. Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless Good to have experience in H2O.ai Good to have experience in containerization using Docker and Orchestration using Kubernetes.