Senior ML Engineer

About Role As a Senior Machine Learning Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll contribute significantly to the development of innovative ML projects, lead and mentor a talented team, and work collaboratively across functions to turn complex business challenges into actionable insights. - Technical Leadership: Actively contribute to the design, development, and implementation of ML projects while working collaboratively with a team of ML Engineers and Data Scientists, ensuring technical excellence and innovation. - End-to-End Ownership: Take full ownership of the ML 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 ML systems. - Engineering Best Practices: Apply robust software engineering practices to ML, 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. - Education and Experience: - A degree (Master's preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields. - Minimum 3+ years of hands-on experience in Machine Learning 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/ML 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 🌞 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 and laptop allowance, and request resources for convenient WFH. - 📆 5-day workweek: Enjoy weekends off and return refreshed on Mondays. - 🍔 Food: Access to healthy meals while on-site. Professional Growth - 📚 'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth. - 👶 Child scholarship: Scholarships for your child in selected schools. - 📈 Bi-annual bonus: Get timely festival and company bonuses. - 💸 Advance salary: Request salary in advance. Work/Life Balance - ✈️ Paid time-offs: Annual, sick, compensation, and bereavement leaves. - 🍼 Maternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload. - 🐣 Paternity leave: 11 days of paid paternity leave and reduced workload after. - 💊 Menstruation leave: 6 days of paid menstruation leave annually. We take care of you - 🌿 Your well-being: Company-funded counseling services from certified therapists as well as COVID care services. - 💰 Retirement fund: Social security fund with health and accidental insurance. 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!