inside sales executive[female]

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

Dear Professionals!

We are HiringGENAIML Developer!

Key Skills & Qualifications

• Strong proficiency in Python, with a focus on GenAI best practices and frameworks.
• Expertise in machine learning algorithms, data modeling, and model evaluation.
• Experience with NLP techniques, computer vision, or generative AI.
• Deep knowledge of LLMs, prompt engineering, and GenAI technologies.
• Proficiency in data analysis tools like Pandas and NumPy.
• Hands-on experience with vector databases such as Weaviate or Pinecone.
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Strong problem-solving skills and critical-thinking abilities.
• Experience with AI model fairness, bias detection, and adversarial testing.
• Excellent communication skills to translate business needs into technical solutions.

Preferred Qualifications

• Bachelors or Masters degree in Computer Science, AI, or a related field.
• Experience with MLOps practices for model deployment and maintenance.
• Strong understanding of data pipelines, APIs, and cloud infrastructure.
• Advanced degree in Computer Science, Machine Learning, or a related field (preferred).

•  1-3 years of experience in application/web development
• Good experience in working with programming languages Golang.
• Good understanding of REST APIs and the web in general
• Working knowledge of AWS and Kubernetes is a plus
• Understand end user requirements, formulate use cases and come up with effective solutions

Responsibilities

·       Generate, edit, publish and share daily content on all social media platforms (original text, images, or video) that builds meaningful connections and encourages community members to take action. (Ability to write content for social media posts is a must)

·       Set up and optimize company pages within each platform to increase the visibility of company’s social content

·       Develop, implement and manage the company’s social media strategy

·       Manage and oversee social media content

·       Collaborate with other departments (customer relations, sales, etc.) to manage reputation, identify key players and coordinate actions.

·       Communicate with industry professionals and influencers on social media to create a strong network and leverage it for collaborations.

·       Suggest and implement new features to develop brand awareness, like promotions and competitions.

·       Stay up-to-date with current technologies and trends in social media, design tools and applications.

·       Monitor and evaluate performance across the company's social channels in order to improve engagement.

·       Execute quarterly marketing plans to meet overall business targets.

Education & Knowledge Desired

·       2 years of experience in online marketing, advertising or communication

·       Experience with social media platforms, including but not limited to Facebook, LinkedIn, Twitter, Instagram, and YouTube

·       Bachelor’s Degree or Master’s in Marketing, Advertising or Communications required

·       Excellent creative writing skills

Generic Job Description for your easy reference:

• Manages day-to-day relations with the media, to include handling media queries, media interviews, and press conferences, preparing news releases and media kits, and promoting story lines; serves as the spokesperson on highly sensitive, complex or emergency situations.
• Provides direct and proactive advice, consultation, and assistance to the Head, public information matters, to include providing direct assistance in researching, providing information and developing messages.
• Cultivates and maintains knowledge of and relationships with key news media at local, state and national levels.
• Responds to and follows through on requests for information from the media and the public, determining appropriate, accurate response and appropriate university contacts for response; collaborates with the Custodian of Public Records to respond to requests for information in compliance with the Inspection of Public Records Act.
• Plans and disseminates internal and external communication of information through various media that is designed to keep public informed of accomplishments or points of view.
• Writes, edits, reviews and assures appropriate distribution of communication/public relations materials that have a wide impact including news releases, articles, speeches, on-line information services, and broadcast scripts; may oversee production and publication of communication/public relations materials and related communication.
• Gather, write, edit, coordinate and upload information for/to the web site; may assist with the design of consistent methodologies for the development of internet/intranet and new emerging technological communication resources.
• Leads or guides the work of a collaborative communication team as appropriate.
• Performs miscellaneous job-related duties as assigned.

About the company, Kuants is a fintech startup offering products in the Wealth tech space. We are the market leaders in Algo trading software and 

We are looking for a Back-End Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your coworkers into the application. A basic understanding of front-end technologies is therefore necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers with server-side logic
• Building reusable code and libraries for future use
• Optimization of the application for maximum speed and scalability
• Implementation of security and data protection
• Design and implementation of data storage solutions

Skills And Qualifications

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
• Good understanding of server-side CSS preprocessors, such as LESS and SASS
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Management of hosting environment, including database administration and scaling an application to support load changes
• Data migration, transformation, and scripting
• Setup and administration of backups
• Outputting data in different formats
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient knowledge of a Django, REDIS, MySQL
• Proficient understanding of code versioning tools, such as Git
• Proficient understanding of OWASP security principles
• Understanding of “session management” in a distributed server environment

The IT Infrastructure Analyst is responsible for working on assigned projects and technical initiatives in an efficient/effective manner.  The IT Infrastructure Analyst must possess a high degree of technical knowledge regarding server & storage systems and associated technology tools for managing them.

The individual is expected to be able to manage and support infrastructure systems as necessary, perform troubleshooting, build new systems, and monitor data center environments.

Must have:

8-12 years’ experience in IT infrastructure management

Expertise in Dell Server Environments (Dell Hardware & Management system - Open Manage)

Expertise in VMWare (Vcentre setup and management)

Expertise in Windows server and storage

Expertise in EMC (now Dell) SAN and NAS devices

Good Linux skills (basic troubleshooting skills on Linux servers CentOS)

Good networking skills (troubleshooting skills)

Familiarity with Data Center Environmentals (Power, UPS, Cooling etc.)

Good to have:

• Experience with hyper-converged infrastructure such as Nutanix
• Experience and familiarity with Dell networking technology.
• Experience and familiarity with AWS