Education and Experience: A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields. Minimum 5+ 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
Experience: A minimum of 10+ years of total professional experience in the software industry. At least 8 years of hands-on experience in software development, with a track record of building and shipping complex, scalable software products. A minimum of 2 years of experience in a technical leadership or engineering management role. A Bachelors degree in Computer Engineering, Computer Science, or a related IT field is required. A Master s degree or MBA is a plus. Technical Skills: Expert proficiency in at least one modern backend programming language (e.g., Node.js, Python, Go, Java). Strong experience with modern frontend frameworks (e.g., React, Angular, Vue.js). Deep understanding of distributed systems design, microservices architecture, and software development best practices with experience in one or multiple software architecture styles like SAAS, multi-tenancy, IAAS, PAAS, BAAS, and microservices. Proven experience with cloud platforms (AWS, Azure, or GCP) and mature DevOps practices (CI/CD, Infrastructure as Code, containerization with Docker/Kubernetes). Demonstrated ability to lead technical deep-dives, architectural reviews, and complex debugging sessions. Leadership & Soft Skills: Proven ability to lead and mentor engineering teams, fostering an environment of trust and accountability. Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment. A strategic, problem-solving mindset with a passion for building great products and a relentless focus on quality and user experience. Life at Leapfrog: Work with talented engineers and remarkable professionals in Nepal, the US, and Europe, building state-of-the-art digital health products. Have an amazing career growth plan with support from experienced mentors and unlimited learning opportunities. Be a part of an experienced team apply the best industry practices, get mentored by experienced professionals, and be ready to mentor the new ones. Get exposure to clients who are leading entrepreneurs and startups from Silicon Valley. Your work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide. Get growth opportunities, not just in your work. We organize various internal initiatives where you can be a part of a bigger learning community with webinars, knowledge-sharing sessions (KSS), and internal conferences. Be a part of a safe workplace where it s okay to fail fast get constructive feedback and grow as you move ahead. Receive recognition for your contributions and the positive impact you create. We always look for opportunities to celebrate our efforts, play games, and have fun together! You will have a lot of fun at Leapfrog there ll never be a dull day. Benefits and perks: We believe our people are our greatest strength. With perks and benefits, we intend to offer everything our people need to do their best while maintaining a healthy balance between work and personal life. Daily Work Support Support for resources: Receive a monthly internet Work/Life Balance Paid time-offs: Annual, sick, compensation, and bereavement leaves. Maternity leave: 6 months of paid leave Paternity leave: 11 days of paid paternity leave and reduced workload after. Menstruation leave: 6 days of paid menstruation leave annually Birthday Leave - 1 Celebrating your efforts Engagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers! Exposure: Visit and work in the States and build better client rapport. Recognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!
Leapfrog is a role model technology company striving to craft better digital products with a team of superior engineers. Specializing in SaaS products, we have served over 100 clients with our mastery of emerging technologies. We are trusted partners with world-class engineers, providing companies in various regions with speed, agility, quality, and stability, giving them a competitive edge. As a member of our team, you will be responsible for analyzing and understanding each product's environment, architecture, and interdependencies to determine and apply appropriate test methodologies. You will work closely with development teams in an agile environment, investigating test failures, identifying root causes, and producing detailed bug reports. Additionally, you will ensure proper test and release documentation, perform performance and security testing, build automated testing suites, manage release processes, and mentor junior team members. Job requirements include a graduate degree in Computer Engineering or similar IT background, with a minimum of 3 years of professional experience. Demonstrable experience with Agile methodologies, excellent understanding of software test methodologies and best practices, and proficiency in automation frameworks such as Selenium and Cypress are essential. Knowledge of OWASP security guidelines, UNIX, AWS, Jenkins, and other deployment tools is required. Strong communication, analytical, and problem-solving skills, along with experience in Agile methodologies like Scrum/Kanban, are also necessary. In addition to competitive compensation, we offer various benefits and perks to support our employees" well-being and work-life balance. This includes daily work support, work-life balance initiatives, and recognition programs to celebrate your efforts. Join our team at Leapfrog and be part of a dynamic and innovative technology company.,