PythonAs 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
Shubham Vishwakarma
Full Stack Developer - Averlon
About Leapfrog
About
LeapFrog Enterprises is a global leader in educational-toys and children’s learning technology. Their mission: turn playtime into meaningful growth time by combining cutting-edge educational expertise with engaging technology and beautifully designed toys.
Founded in the mid-1990s, LeapFrog has built a portfolio of products that span from early childhood through grade-school learning: tablets, reading/writing systems, interactive toys and apps.
They’re headquartered in Emeryville, California and operate internationally.
Candid answers by the company
LeapFrog designs, develops and markets educational toys, tablets and interactive learning systems for children, combining curriculum-based expertise with playful, technology-enabled experiences.
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Full Stack Developer - Averlon