Numrah

Machine Learning Engineer

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The Machine Learning Engineer will design, train, fine-tune, and deploy Large Language Models (LLMs) and other ML systems in real-world production environments. They will work closely with backend and product teams to deliver smart, scalable features. Responsibilities include designing and implementing ML solutions, fine-tuning and integrating LLMs, deploying and monitoring LLM-powered features, collaborating with engineers, writing clean code, and staying current with ML research. This role requires a strong understanding of ML theory and hands-on experience with LLMs.

At Numrah, we build intelligent, modern applications that combine cutting-edge engineering with practical machine learning. We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to design, train, fine-tune, and deploy Large Language Models (LLMs) and other ML systems in real-world production environments. You’ll work closely with backend and product individuals/teams to deliver smart, scalable features—from rapid experimentation to full-scale deployment. If you’re passionate about ML theory, hands-on with LLMs, and know how to ship high-impact AI features, this role is for you.What You’ll Do <ul><li>Design and implement ML solutions from ideation to production</li><li>Fine-tune and integrate LLMs</li><li>Deploy and monitor LLM-powered features at scale in real-world products</li><li>Collaborate with engineers and product teams to build intelligent, user-facing features</li><li>Write clean, scalable code and detailed technical documentation</li><li>Stay current with the latest in ML research, LLM capabilities, and MLOps best practices</li></ul> Must-Haves <ol><li>Be an Arabic speaker</li><li>Have at least 1 year of non-internship experience in Machine Learning.</li><li>Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.</li><li>Experience training and fine-tuning LLMs, with practical knowledge of transformer architectures</li><li>Solid production-level Python experience and strong software engineering fundamentals (OOP, OOD, DSA)</li><li>Familiarity with LLM integration frameworks like HuggingFace Transformers, OpenAI, or LangChain</li><li>Familiarity with ML data pipelines and manipulation tools (e.g., Pandas, NumPy)</li><li>Strong research, writing, and documentation skills</li><li>Collaborative mindset and ability to communicate technical ideas clearly</li></ol> Nice-to-Haves <ul><li>Experience deploying LLM-based features to production</li><li>Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)</li><li>Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)</li><li>Understanding of model serving and inference optimization (quantization, batching)</li><li>Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)</li><li>Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)</li><li>Interest in NLP applications, smart assistants, or chatbot systems</li></ul>

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Does not give up when things do not go smoothly.</li><li>Ability to be set and achieve goals with minimal management support/coaching.</li><li>Committed to Rocket Software core values of Empathy, Trust, Humanity and Love</li></ul>Information Security:Information security is everyone’s responsibility.&nbsp; A fundamental principle of information security at Rocket Software is that all individuals in the organization have a responsibility for the security and protection of company information and IT Resources over which they have control, according to their role.Diversity, Inclusion &amp; Equity:At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.#LI-SD1#LI-Remote.This position is eligible for commissions in accordance with the terms of the company’s plan.What Rocket Software can offer you in Vilnius: <ul><li><h2>Health Insurance: Choose from 3 great options!</h2></li><li><h2>Generous Time Off: Enjoy 25 days of annual leave, plus Juneteenth as an extra day off for everyone.</h2></li><li><h2>Rocket enhanced parental leave benefit.</h2></li><li><h2>Easy Sick Days: Get 6 days of fully paid sick leave without needing a medical certificate.</h2></li><li><h2>Employee Assistance Program – Digital Courses &amp; Meditations, Certified Personal Coaching &amp; Personal Therapy sessions.</h2></li><li><h2>Workcation Policy: Enjoy the flexibility to work from a vacation spot, combining work and leisure.</h2></li><li><h2>Choose your own hybrid/remote work model.</h2></li><li><h2>Tuition Reimbursement and Certificate Reimbursement Program opportunities.</h2></li></ul>Annual salary range for this position is between €27,000.00 - €50,200.00 gross before taxes.Salary range applies only to candidates in LithuaniaSalary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.Rocket Software Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Rocket Software Inc. is also committed to compliance with all fair employment practices regarding citizenship and immigration status.Rocket is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. &nbsp;If you need special assistance or an accommodation while seeking employment, please call: 781-577-4321 or send an email to people@rocketsoftware.com. &nbsp;We will make a determination on your request for reasonable accommodation on a case-by-case basis.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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