Description

The Operations Coordinator would supervise all warehouse workers and ensure that operations daily and yearly targets are met.
You will be responsible for supervising and coordinating daily operations at the Remedial warehouses and across the hubs and plan the most efficient administrative procedures.

What does the job involve

Developing and implementing innovative strategies... to streamline all warehouse operations.
Collaborating with the Operations and Logistics managers to establish and execute quality control processes across Remedial Health warehouses and hubs.
Making sure both inbound and outbound logistics operations as well as order processing all the way to the customer receiving their goods runs smoothly.
Analysing order processing data to identify and resolve any order processing issues and ensuring delivery timelines are met.
Preparing operational and delivery reports, using them to track errors and proffer solutions to them as well as forecasting the needs of the department to prevent recurring issues.
Regularly inspecting packed products ready for shipment as well as loaded vehicles, to determine whether they meet standards.
Motivating all operational staff to continually achieve targets.
Ensure that all vendors, especially logistics vendors adhere to and follow set guidelines.
Meeting with the finance manager on a regular basis to review the company's financial performance along with expenses.
Coordinating and supervising the facility Management of the warehouse to ensure that all buildings and their services meet the needs of the people that work/live in them (cleaning, security, and parking to make sure that the surrounding environment is a suitable condition to work).
Overseeing facilities services, maintenance activities and tradespersons (E.g. Electricians).

Qualifications

7+ years’ work experience (at least 5 years at management/supervisory level)
5+ years’ experience in the transport/logistics sector, FMCG, and manufacturing industries
Certification in Production and Inventory Management as well as Quality Control is a plus more

Job Description

The Machine Learning Engineer will play a crucial role in designing, developing, and deploying state-of-the-art machine learning models and algorithms.
S/he will collaborate with cross-functional teams to drive innovation, solve complex business challenges, and deliver scalable ML solutions.
The ideal candidate must possess deep technical expertise in machine learning, strong... programming skills, and a proven track record of delivering successful ML project What does the job involve

Responsibilities

Research and Development:

Conduct in-depth research on cutting-edge machine learning techniques and stay abreast of the latest advancements in the field.
Explore and experiment with novel ML algorithms, models, and frameworks to address specific business challenges.
Design, implement, and optimize machine learning models and algorithms to deliver robust and scalable solutions for various applications.
Leverage data preprocessing techniques and feature engineering to enhance model performance and accuracy.

Data Management:

Collaborate with data engineers and data scientists to ensure seamless data integration, data quality, and data pipeline efficiency.
Work with large datasets, both structured and unstructured, to extract valuable insights and patterns.
Develop robust testing frameworks and methodologies to evaluate the performance of ML models in real-world scenarios.
Implement A/B testing and statistical analysis to validate the effectiveness of deployed models.

Deployment and Scaling:

Deploy machine learning models into production environments, considering scalability and maintainability.
Monitor model performance, conduct periodic updates, and troubleshoot issues to ensure optimal system functionality. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to drive ML initiatives and achieve project goals.
Provide technical leadership and mentorship to junior members of the ML engineering team.

Documentation and Communication:

Document all development processes, methodologies, and experimental results to facilitate knowledge sharing and future enhancements.
Communicate complex technical concepts and findings to both technical and non-technical stakeholders effectively.
Perform other duties as assigned.

Qualifications

Bachelor’s or Master's in Computer Science, Data Science, Machine Learning, or a related field.
5+ years' of industry experience as a Machine Learning Engineer, developing and deploying ML models in real-world applications. Expert knowledge with a scripting language (e.g. Python) and with an object-oriented language (e.g. C++, Java).
Strong understanding of machine learning algorithms, statistical modeling, and optimization techniques.
Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models.
A passion for implementing coding best practices across a team. Experience with popular ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Solid knowledge of data processing, feature extraction, and data visualization techniques.
Ability to create logical data models by combining data from multiple sources including internal, and external data.
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Familiarity with cloud computing platforms and distributed systems for scalable ML deployments.
Excellent problem-solving, analytical, and communication skills. Ability to work collaboratively in a fast-paced and dynamic environment.
Deep appreciation for diversity of thought and a proponent for collaborative solutions.
Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. more

Job Summary

We are seeking a highly motivated Technical Underwriter to join our team.
The ideal candidate will have strong analytical skills, excellent attention to detail, and a thorough understanding of insurance products and underwriting principles.
The Technical Underwriter will be responsible for assessing risk and determining appropriate coverage levels for our clients.

Key... Responsibilities

Evaluate and assess risk to determine appropriate coverage levels for clients.
Analyze insurance applications, claims, and other documentation to ensure accuracy and completeness.
Develop and maintain relationships with clients, brokers, and insurance carriers.
Provide technical underwriting support to our sales and marketing teams.
Collaborate with other underwriters and analysts to develop and implement underwriting strategies.
Participate in the development and implementation of underwriting guidelines, processes, and procedures.
Stay up-to-date on industry trends, changes in regulations, and new products and services.

Qualifications

Bachelor's Degree in Business Administration, Finance, Insurance, or related field.
A professional certification in Insurance is an added advantage
Minimum of 3 years of experience in technical underwriting in the insurance brokers industry.
Strong analytical skills and attention to detail.
Excellent communication and interpersonal skills.
Knowledge of insurance products, underwriting principles, and industry trends.
Ability to work in a fast-paced environment and prioritize tasks.
Ability to work independently and as part of a team.
Proficient in Microsoft Office and other relevant software. more

Responsibilities

Ensure area operations are carried on in an appropriate, cost-effective, and efficient manner.
Improve operational management systems, processes, and best practices.
Ensure area processes remain legally compliant.
Formulate and execute area operational objectives.
Examine financial data and use them to improve profitability.
Ensure all targets of the area/region are... met.
Perform quality controls and monitoring activities.
Supervise and mentor staff

Requirements

Interested candidates should possess a Bachelor's Degree, HND / Master's Degree
Minimum of 7 years in Operations/Sale Customer Service, preferably in the following sectors: Hospitality, Retail, and Insurance
At least 7 years leading teams.
Experience in leading high end retail businesses (added advantage)
Proven track record of achieving operational efficiency.
Exceptional customer service & Problem-solving skills.
Excellent interpersonal communication skills, both verbal and written
Ability to manage a cluster of branch facilities, in relation to the organization’s look and feel standard.
Excellent interpersonal skills. Ability to positively engage customers and implement directives/policies/processes as expected by management. Coupled with the ability to galvanize the branch team and ensure compliance with policies and procedures.
Strong analytical skills
Ability to quickly escalate/resolve problems that may affect branch operations or create poor customer experience. more