{"id":3510849,"url":"https://alion.io/job/leapfrog-technology-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":2894254,"name":"Leapfrog Technology","domain":"lftechnology.com","url":"https://alion.io/company/lftechnology","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":202,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kathmandu, Nepal"],"countries":["NP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Julia","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-30T07:28:44Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T03:01:26Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"About Role\nAs 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.\nTechnical 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.\n\nEnd-to-End Ownership: Take full ownership of the ML project lifecycle, from ideation and design to development, deployment, and maintenance.\n\nTechnological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of ML systems.\n\nEngineering Best Practices: Apply robust software engineering practices to ML, including CI/CD pipelines, automation, and quality assurance.\n\nArchitectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.\n\nRisk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.\n\nCross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.\n\nContinuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.\n\nMentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.\n\nOrganizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.\n\nRequirements\nEducation and Experience:\nA degree (Master's preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.\n\nMinimum 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.\n\nTechnical Skills:\nProficiency 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.\n\nExpertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise Preferred)\n\nStrong 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.\n\nHands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.\n\nExpertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.\n\nExperience building end-to-end ML systems (MLOps).\n\nExperience in deploying code in web frameworks such as Flask, FastAPI, or Django.\n\nExperience working in a cloud environment like AWS, Azure, or GCP for ML work.\n\nGood grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.\n\nGood grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability, and so on), programming concepts, and tools/platforms like Git and Docker.\n\nBonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.\n\nBonus: Experience with data visualization and dashboard tools like Tableau or Power BI.\n\nSoft Skills:\nHighly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.\n\nAbility to work with cross-functional and cross-regional teams.\n\nAbility to lead a team of Data/ML professionals and work with senior management, technological experts, and the product team.\n\nExcellent written and verbal communication skills, comfortable with client communication.\n\nGood 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.\n\nResults-oriented, customer-focused with a passion for resolving tough technical and operational challenges.\n\nPossess excellent analytical and problem-solving abilities.\n\nGood documentation skills.\n\nExperienced with Agile methodologies like Scrum/Kanban\n\nLife at Leapfrog:\nWork with talented engineers and remarkable professionals in Nepal, the US, and Europe, building state-of-the-art digital health products.\n\nHave an amazing career growth plan with support from experienced mentors and unlimited learning opportunities.\n\nBe a part of an experienced team-apply the best industry practices, get mentored by experienced professionals, and be ready to mentor the new ones.\n\nGet exposure to clients who are leading entrepreneurs and startups from Silicon Valley.\n\nYour work will be at the cutting edge of healthcare innovation and make a difference in the lives of thousands of people worldwide.\n\nGet 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.\n\nBe a part of a safe workplace where it’s okay to fail fast- get constructive feedback and grow as you move ahead.\n\nReceive 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!\n\nYou will have a lot of fun at Leapfrog- there’ll never be a dull day.\n\nBenefits and perks:\nWe 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.\nDaily Work Support\nSupport for resources: Receive a monthly internet and laptop allowance, and request resources for convenient WFH.\n\n5-day workweek: Enjoy weekends off and return refreshed on Mondays.\n\nFood: Access to healthy meals while on-site.\n\nProfessional Growth\n'Growth mindset' fund: Investment in your post-grad degree, learning opportunities, and career growth.\n\nChild scholarship: Scholarships for your child in selected schools.\n\nBi-annual bonus: Get timely festival and company bonuses.\n\nAdvance salary: Request salary in advance.\n\nWork/Life Balance\nPaid time-offs: Annual, sick, compensation, and bereavement leaves.\n\nMaternity leave: 3 months of paid leave, 1 month of unpaid leave, and 90 days of reduced workload.\n\nPaternity leave: 11 days of paid paternity leave and reduced workload after.\n\nMenstruation leave: 6 days of paid menstruation leave annually.\n\nWe take care of you\nYour well-being: Company-funded counseling services from certified therapists as well as COVID care services.\n\nRetirement fund: Social security fund with health and accidental insurance.\n\nCelebrating your efforts\nEngagement and Events: Team lunch/dinner, company outings, and festival celebrations with your favorite co-workers!\n\nExposure: Visit and work in the States and build better client rapport.\n\nRecognition: In-house awards, appreciation platforms, and 5th-anniversary gifts!","description_format":"text","description_chars":7664,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Accidental insurance","Continuous learning","Dental insurance","Growth opportunities","Professional 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