Business Development Executive

Responsibilities

• Develop high-quality mobile applications using the Flutter framework.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Write clean, efficient, and maintainable code.

• Identify and resolve performance and security issues.

• Stay up-to-date with the latest Flutter trends, tools, and technologies.

• Mentor and provide guidance to junior developers as needed.

• Participate in code reviews to maintain code quality and consistency.

• Support test and deployment of new products and features.

• Coordinate cross-functionally to insure project meets business objectives and compliance standards.

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Responsibilities:

• Develop and implement digital marketing strategies to drive lead generation and customer acquisition.
• Plan, execute, and optimize paid advertising campaigns across various digital platforms, including Google Ads, Facebook Ads, LinkedIn Ads, etc.
• Conduct keyword research and analysis to identify opportunities for improving search engine visibility and organic traffic.
• Create compelling ad copy and visual assets for digital ads, landing pages, and other marketing collateral.
• Monitor campaign performance, analyze key metrics, and provide actionable insights and recommendations for optimization.
• Collaborate with internal teams, including content creators, designers, and developers, to ensure cohesive and effective digital marketing campaigns.
• Stay updated on industry trends, best practices, and emerging technologies in digital marketing.

Requirements:

• 2-3 years of proven experience in digital marketing, with a focus on lead generation and paid campaigns.
• Proficiency in digital advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, etc.
• Strong analytical skills and the ability to interpret data to drive decision-making and campaign optimization.
• Excellent communication skills, both written and verbal.
• Creative thinking and problem-solving abilities.
• Ability to work independently and as part of a collaborative team environment.

1. Design patterns- socket communication/ micro services architecture 

2. Caching - REDIS MEMCACHED etc

3. Database - MONGO, SQL etc. min 2yrs experience with these.

4. Features created for large concurrent requests.

5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.

6. Message Queues - RABBIT MQ, Kafka etc.

7. Logging and APM (application process manager) good to have.

8. DS ALGO good to have.

What you will do

We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one. 

• Build and lead an agile engineering team
• Work closely with Founder on product development
• Collaborate with operations team to understand customer pain points and solve interesting problems
• Code, test, ship - manage the entire application cycle
• Build libraries and documentation for future references
• Research and develop best practices and tools to enable delivery of features
• Set up capabilities to track and report business and user metrics
• Design and improve architecture to ensure scalability
  
  

Requirements

• Proven experience at scaling tech companies, preferably in commerce or social network
• Keen to innovate, open-minded and collaborative
• Able to interpret product needs and suggest appropriate solutions
• Have led a team, also able to code hands-on
• Strong communication skills
• Strong work ethic: responsible, responsive, and detail-oriented.
  
  

Technologies we use
Go, Flutter, AWS, Google Cloud

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Assist in the recruitment process, including sourcing candidates, scheduling interviews, and conducting background checks.

Support the onboarding process for new hires, ensuring a smooth and seamless transition into the organization.

Maintain accurate and up-to-date HR records, including employee files, attendance records, and employee data.

Collaborate with the HR team to develop and implement HR policies and procedures.

Participate in HR projects, such as employee engagement initiatives, training programs, and performance management.

Conduct research and analysis on HR trends and best practices, and provide recommendations to the HR team.

Provide administrative support to the HR team, including scheduling meetings, preparing reports, and coordinating events.

Ensure compliance with all relevant HR laws and regulations.

Requirements:

Currently pursuing a degree in Human Resources, Business Administration, or a related field.

Excellent communication and interpersonal skills.

Strong organizational and time management skills.

Proficiency in Microsoft Office, particularly Excel and Word.

Ability to work independently and as part of a team.

Strong attention to detail and ability to handle confidential information with discretion.

Familiarity with HR principles and practices.

Previous internship or work experience in HR is a plus.

We are right now recruiting .NET developers to join our ambitious development team. If you want to work with a broad collection of software projects using the latest technologies and have the skills below, please send your resume immediately!

Experience: 2-3 years

Must have:

• Strong design capabilities, following OOPS and SOLID principles using C#
• Good understanding of Behaviour-driven development and domain-driven design
• Well-versed with pair-programming
• Take complete accountability for your making, development efficient, easy to understand and highly reusable.
• Write neat and clean code that adheres to certain professional norms and standards.
• Able to upskill oneself when project requirements introduce new technologies and technique.

Skills  

• Strong hands-on experience in web development like MVC, Web API.
• Usage of SQL and no SQL databases.
• Excellent understanding of Front-End Technologies, Platforms and Frameworks

• • HTML5
  • CSS, SCSS, SASS
  • Angular.JS, Angular/REACT/ VUE/
  • Bootstrap, Tailwind.

• Well-versed in scripting Languages like Typescript or JavaScript.
• Usage of Git, TFS/DevOps

Good to have 

• NodeJS
• Working on solutions hosted in cloud environments (AWS or Azure or GCloud)
• Unit tests – MS Test/ NsUnit
• Hands-on experience in practising Scrum, Jira and Kanban
• Implementation of Continuous Delivery processes
• Hands-on experience in test-driven development and DevOps practices.

• Opportunity to work directly with leading Scandinavian and UK companies
• Occasional onsite opportunities
• Flexibility and responsibility
• Work-life balance
• Challenging Technical Opportunities
• Complimentary lunch buffet and snacks
• Flexitime and work from home option (when applicable)
• Gym, Table Tennis, Volley Ball and Marathons
• Hospital Insurance
• Equal opportunity
• Family-friendly company
• Profit-sharing scheme
• Tax planning advice to optimise take home

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