Domain Consultant

Job Title :      Inside Sales Executive

CTC :         5 LPA- 8 LPA

Experience :   3-6 years

Location :      Bangalore

Working Mode : Onsite

Primary Skills : Inside Sales, B2b sales, IT product sales

Roles & Responsibilities :

•   Understand the business and the potential                                       
•  Analyzing market and sales information                                            
•  Identification of prospective clients.                                                  
•  Set up a Brand identification strategy and execution plan                                        
•  Research competitive products by identifying and evaluating product characteristics, market  share, pricing, and maintaining research databases.
•  Set and track sales targets for team                                        
•  Suggest and implement improvements in the sales administration process          
•  Coordinate department projects to meet deadlines                                                 
•  Use customer feedback to generate ideas about new features or products           
•  Research and discover methods to increase customer engagement                       
•  Ensure sales, finance and legal policies and procedures are met                            
•  Liaise with Marketing and Product Development departments to ensure brand consistency and  increase sales

TECHNICAL SKILLS:

• The candidate should have experience in the preparation and execution of a sales strategy.
• In depth Understanding of sales process
•  Sales Matrix
• B2B Product Sales experience is mandatory
• Experience in Salesforce and or other CRM tool Client Engagement

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP