Lead Generation Specialists

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

• A highly motivated and experienced frontend software engineer / developer with a proven track record (at least 5 years of experience).
• A Bachelor’s degree in computer science.
• Someone who loves to work in a multidisciplinary team of engineers and business colleagues in a high-tech environment.
• You are able to work in a dynamic and demanding environment, a real team player and a speak-up mentality to promote your ideas in a concise way.
• You are a problem-solver and see yourself as a hardcore web developer.
• You have knowledge of, and experience with, different web technologies.
• You are skilled with implementing architecture & design patterns.
• You can write modular code that is configurable, extensible and testable.
• You have great analytical skills, conceptual understanding and able to quickly understand new technical concepts.
• You have a strong interest in the latest trends in software development & web technologies.
• You have strong communication skills to explain complex technical concepts.
• You are fluent in English both in verbal and written.

Proficiency / experience with following technologies & tools:

• Thorough and deep understanding of Java JDK 11+, our foundational programming language

Spring Framework & AOP v5.2+

• Proven experience working with, and a deep understanding of Spring Boot 2.5+ and its modules (Web, Data JPA, Security OAuth2) and ability to explain complex use-cases related to persistency and web security
• Experience with Maven v3+
• Experience with containerization and deployments tools (eg. Docker v20+ and Kaniko, Helm (charts) v3+ with  Kubernetes deployments)
• Experience working with CI/CD tools like GitLab SCM & pipelines and JFrog Artifactory
• Strong knowledge working with different types of SQL and NoSQL databases such as PostgreSQL v12+, MongoDB v4+ and Neo4J v4+
• Proficient in working with DevOps engineers on Cloud deployments (eg. Azure subscriptions)
• Experience in Agile/Scrum & (pref.) SAFe (Scaled Agile Framework) and enabling tooling – Atlassian Jira Cloud / Jira Align
• Experienced and skilled in full-stack development.
• Leading and solutioning product development of secure and high-performance applications.
• Good understanding of REST APIs and working knowledge of HTTP(S).
• Experienced in testing stack – Junit / Mockito
• Experience with software quality & vulnerability testing – SonarQube and Blackduck
• Proficient in writing software documentation on Atlassian Wiki
• Proficient in implementing data structures, algorithm design and OOPs concepts.

If you are the kind of person who wants to build content & communication layer around SaaS products that impact millions of users, has a passion for making wordplay work for you and wants to own the content layer in an early stage company, this is the place for you. If you make the cut, we guarantee that you will be given complete autonomy and the right team to hit your metrics.

Responsibilities

• Strategise, develop, and implement content initiatives to educate and grow our beauty professional community.
• Collaborating with team leaders to develop and implement a customer-centric and appealing content strategy.
• To work with the growth team and learn how to increase an audience in a sustainable way.
• Keeping an eye on changing beauty industry trends to ensure that content is topical and relevant.
• Work with our product and technical teams to raise awareness of and adoption of new  product features.
• Control all aspects of campaign optimization, troubleshooting, and reporting, with a focus on scalability and efficiency.
• Use analytics to show the clear impact of all efforts.
• By combining internal and external learnings, create and record best practises and playbooks.

Skills/Experiences:

• 1-2 years of experience in building and engaging a community for a tech startup or business
• Experience in playing an influencer role on social media would be highly preferred
• Demonstrated track record of delivering high-impact solutions in collaborative teams, particularly with designers
• Proven track record of creating high impact outcomes
• Self-starter, comfortable operating in a fast-paced, ever-changing environment.
• Experience in problem solving and tackling problems with a creative mindset.

• Planning and scheduling Deliverability Assessments (DA) for critical deals
•  Review of overall solution approach
•  Coordinating with service-line Subject Matter Experts(SME) and facilitating DA
•  Review the solution and identify risks based on experience/expertise in specific service-lines
• Articulation of risks and creation of risk reports based on SME connects
• Coordination with key stakeholders on risk mitigation/closure actions
• Creation of RAID(Risk-Assumption-Issue-Dependency) logs for senior leadership reviews

The Lead UI/UX Designer must be a great leader with the ability to maximize the talents of the teams. Doing so means being a coach, an instructor, a team leader and a critic all at once. The Lead UI/UX Designer work with User Experience Designers, Visual Designers, User Researchers, Front End Engineers, Business Analysts, Copywriters, and other Marketers on a regular basis to ensure the full experience of the UI/UX of the website, web application or mobile application is being taken care of.

Lead UIUX Design Job Description

• Maintain ownership of the product vision and roadmap and improving the product development process. Lead the team in expanding mastery of the business goals of each design request and pushing back on stakeholders with innovative UX/UI proposals.
• Demonstrate high quality design practices. This includes participation in all aspects of UX: research, ideation, strategy, interaction design, and visual design.
• Conceptualise original ideas that bring simplicity and user friendliness to complex design roadblocks, working on a framework for judging the success or failure of the product, prioritising feature development and structuring product failures.
• Empower and mentor designers in the team, fostering a collaborative, productive, and positive environment within a growing team.
• Lead design strategy activities to understand user needs & business opportunities, uncover business/user needs, generate potential solutions, craft a holistic vision for the end-to-end product and develop roadmaps for achieving that future.
• Maintain and further build design team workflows that ensure that all designs delivered are in line with style guides and are of high quality standards.
• Ensure that the projects are delivered on a timely manner.
• Highly communicative and responsive both within the team and to stakeholders across the company while managing a large volume of ongoing projects.

 Requirements:

• 6+ years of industry experience as a UI/UX designer and/or manager in a cross-functional UI/UX team, dedicated to the complete UI/UX design and development lifecycle of several successfully launched desktop and mobile applications.
• Deep understanding of the iOS and Android platforms and experience designing and launching products for both.
• Proven success designing and optimizing high-quality product experiences for a variety of platforms including desktop, web and mobile. Experience in B2B platforms is an advantage.
• Mastery of UX interaction and design principles and deliverables including rapid prototyping, concept diagrams, user scenarios, wireframes, flows, experience maps, design patterns and annotated comps.
• Architect system wide design solutions that satisfy both product and engineering requirements.
• Experience managing a team of around 6-8 UI/UX designers. Ability to communicate with different departments of a multi-national and dynamic company
• Working knowledge of the capabilities and constraints of web front-end technologies including HTML5, CSS, JavaScript, Bootstrap as well as iOS components and Material Design.
• Drive and willingness to go the extra mile with a strong work ethic.
• Experience in other type of designs (online ads, print, etc.) will be an advantage.

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards

Demonstrated experience in Development, unit test application modules based on specified design using PHP, AngularJS, NodeJS, HMTL5, CSS, J2EE/DB2 technologies using Agile Methods