Long-term growth leads to business success — and here at Leaniar, we welcome prospective team members who can help push our vision forward. We’re currently searching for an experienced business development manager who can partner with multiple departments to drive measurable results that benefit our business. Our ideal candidate will be able to implement an effective sales approach that expands our reach, strengthens client relationships, and trains our sales professionals. They will also actively seek out other business opportunities that can boost revenue and set our company apart.

Objectives of this role

• Develop, execute, and oversee a business strategy that prioritizes growth and positive customer ratings
• Maintain positive professional relationships with clients 
• Use financial techniques to improve sales revenue
• Monitor sales progress to ensure that corporate goals are being met 
• Track all business-related invoices 
• Train sales professionals and help improve their skills

Responsibilities

• Conduct high-level industry research to develop effective sales solutions
• Promote the company’s products or services to prospective clients 
• Participate in collaborative business meetings to update key stakeholders
• Provide continuous, constructive feedback to salespeople 
• Review sales contracts to ensure they meet legal and corporate guidelines
• Interact with clients and respond to important inquiries about the company’s products or services

Skills and qualifications

• Proven record of sales growth 
• Experience in customer service, marketing, or a sales-related field
• Strong knowledge of business and sales growth techniques 
• Exceptional project management skills
• Clear verbal and written communication skills 
• Enthusiasm for the company and its growth potential

Preferred qualifications

• Experience in managing sales or marketing teams
• Sharp negotiation and networking skills 
• Organizational skills
• Problem-solving skills
• Educational background in business, marketing, or finance

The post Business Development Representatives appeared first on Leaniar.

We’re in search of a RPA Developer that is ready to innovate and explore what’s possible in the world or robotics. In this role, you’ll work cross-functionally with business operations and business analysts to create and optimize workflow processes. You’ll also lead initiatives related to designing and managing workflow automation projects, testing and fixing bugs. To be successful, you’ll need experience in technologies including UiPath, Power Automate.

Responsibilities

• Provide guidance with process design.
• Design, develop, and test automation workflows.
• Deploy RPA components including bots, robots, development tools, code repositories and logging tools.
• Support the launch and implementation of RPA solutions.
• Create process and end-user documentation.
• Assure the quality of the automation (QA processes).
• Work with BSA, Scrum Masters, QA Analysts, Product Owners, and other cross-functional resources to define and deliver business impacting projects.
• Work directly with stakeholders to capture business requirements and translate them into technical approaches and designs that can be implemented.
• Collaborate with development team members to ensure proper implementation and integration of the solutions.
• Support deployments or troubleshoot production issues outside of work hours and participate in an on-call rotation as-needed.
• Maintain current knowledge of relevant technologies and business processes.

Skills and qualifications

• Hands on experience on RPA tools and cognitive platforms such as UiPath, Power Automate, etc. UiPath experience is must.
• 2+ years experience in any of the programming languages like C/C++, Python, VB Script, Ruby, Java, JS, .Net.
• Basic programming knowledge on HTML, JavaScript (or any scripting language).
• Able to design technical specification documents for RPA Projects.
• Experience developing and consuming APIs.
• UiPath RPA Developer certifications preferred but not required (training can be provided).
• Experience with Agile development methodology.
• Experience with Databases (SQL or NoSQL) often preferred.
• Knowledge of artificial intelligence and machine learning.
• Understanding of workflow-based logic.
• Strong attention to detail and analytical skills.
• Superior time and project management skills.
• Ability to present technical details to non-technical audiences.
• Excellent problem solving/analytical skills and complex troubleshooting methods.
• Ability to work through ambiguous situations.
• Excellent presentation, verbal, and written communication skills.
• Self-motivated, able to work independently, and able to take initiative without always being directed.
• Ability to multitask in a fast paced environment and prioritize the most critical tasks and projects.

The post RPA Developer appeared first on Leaniar.

We are looking for a Computer Vision Engineer to join our team and contribute to the development of cutting-edge computer vision technologies. As a Computer Vision Engineer, you will be responsible for designing, implementing, and optimizing algorithms and systems that enable machines to interpret and process visual data. Your work will play a critical role in advancing applications such as object detection, image recognition, video analysis, and augmented reality. You will collaborate with a multidisciplinary team of engineers, researchers, and product managers to deliver innovative solutions that meet the needs of our clients and end-users. The ideal candidate is passionate about computer vision, has a strong background in machine learning and image processing, and is eager to tackle challenging problems in a fast-paced environment. You will have the opportunity to work with state-of-the-art tools and technologies, contribute to research and development, and see your work make a tangible impact in real-world applications. If you are excited about the prospect of shaping the future of computer vision and artificial intelligence, we encourage you to apply.

Responsibilities

• Develop and implement computer vision algorithms for image and video analysis.
• Optimize and deploy computer vision models for real-time applications.
• Collaborate with cross-functional teams to integrate computer vision solutions into products.
• Conduct research to stay updated on the latest advancements in computer vision and machine learning.
• Analyze and preprocess large datasets for training and testing models.
• Debug and troubleshoot issues in computer vision systems and pipelines.
• Document technical designs, processes, and results for internal and external stakeholders.
• Contribute to the development of prototypes and proof-of-concept projects.

Skills and qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of computer vision concepts and techniques.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or OpenCV.
• Familiarity with deep learning architectures for image and video processing.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Excellent communication and documentation skills.

The post Prompt Engineer appeared first on Leaniar.

Fetching information from various sources and analyzing it to get a clear understanding of how an organization performs. Use statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. Present the results in a clear and interesting way. Analyze trends to make better decisions. Must have the right combination of technical, analytical, and communication skills. 

Responsibilities

• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
• Execute analytical experiments to help solve problems across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers and machine-learning engineers

Skills and qualifications

• Two or more years of experience in data science
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced experience in pattern recognition and predictive modeling
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Preferred qualifications

• Masters or Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
• Two or more years of project management experience
• Professional certification

The post Data Scientist appeared first on Leaniar.

We are looking for an analytical, results-driven Python developer who holds a passion to troubleshoot and improve current applications and processes.

As a Python developer you will be responsible for developing applications in Python and Django. You will also be required to liaise with clients to implement technical solutions. In order to be successful in this role, you will need to have excellent problem solving skills and be able to work independently.

Responsibilities

• Developing applications using the python programming language.
• Involvement in all aspects of the software development life cycle, from requirements gathering to testing and deployment.
• Working closely with other members of the development team, as well as customers or clients, in order to ensure that applications are developed according to specifications.
• Testing applications thoroughly before deployment in order to ensure that they are free of errors.
• Deploying applications and providing support after deployment, if necessary.
• Assisting senior developers in mentoring junior staff members
• Updating software programs as new versions become available.

Skills and qualifications

• Impeccable analytical and problem-solving skills 
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms 
• In-depth knowledge of Python
• Familiarity with creation of executables on windows and PKG over MacBooks
• Excellent time management and organizational skills
• Desire to learn

Preferred qualifications

• A bachelor’s degree in computer science or a related field.
• Strong technical skills in the python programming language: A python developer needs to have strong technical skills in order to be able to develop applications using the python programming language.
• Experience with popular web development frameworks such as Django or Flask
• Good understanding of relational databases (e.g., MySQL, PostgreSQL)
• Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript)
• Excellent problem solving and communication abilities, in order to be able to solve complex problems that may arise during the development process.
• The ability to work independently as well as part of a team.
• Excellent communication abilities: A python developer needs to have excellent communication abilities in order to be able to effectively communicate with other members of the development team, as well as customers or clients.
• Strong organizational skills: A python developer needs to be organized in order to be able to manage their time effectively and meet deadlines.

The post Python Developer appeared first on Leaniar.

Looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Leaniars machine learning models and algorithms.

Objectives of this role

• Design and develop machine learning algorithms and deep learning applications and systems for Leaniar.
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks 
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications   
• Identify differences in data distribution that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate user recommendations
• Stay up to date with developments in the machine learning industry

Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools 
• Run machine learning tests and experiments, and document findings and results 
• Train, retrain, and monitor machine learning systems and models as needed 
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives 
• Extend existing machine learning libraries and frameworks 

Skills and qualifications

• Impeccable analytical and problem-solving skills 
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms 
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture 
• Excellent time management and organizational skills
• Desire to learn

Preferred qualifications

• Proven experience as a machine learning engineer or similar role 
• Familiarity with Python, Java, and R 
• Excellent communication and collaboration skills
• Innovative mind with a passion for continuous learning 
• General knowledge of building machine learning systems 
• Masters or Bachelor’s degree (or equivalent) in computer science, mathematics, or related field

The post AI/ML Engineer appeared first on Leaniar.