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.

Requirements

- 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.

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🎁 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.

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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!