Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.
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
- Design and implement ML solutions from ideation to production
- Fine-tune and integrate LLMs
- Deploy and monitor LLM-powered features at scale in real-world products
- Collaborate with engineers and product teams to build intelligent, user-facing features
- Write clean, scalable code and detailed technical documentation
- Stay current with the latest in ML research, LLM capabilities, and MLOps best practices
Must-Haves
- Be an Arabic speaker
- Have at least 1 year of non-internship experience in Machine Learning.
- Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.
- Experience training and fine-tuning LLMs, with practical knowledge of transformer architectures
- Solid production-level Python experience and strong software engineering fundamentals (OOP, OOD, DSA)
- Familiarity with LLM integration frameworks like HuggingFace Transformers, OpenAI, or LangChain
- Familiarity with ML data pipelines and manipulation tools (e.g., Pandas, NumPy)
- Strong research, writing, and documentation skills
- Collaborative mindset and ability to communicate technical ideas clearly
Nice-to-Haves
- Experience deploying LLM-based features to production
- Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)
- Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)
- Understanding of model serving and inference optimization (quantization, batching)
- Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)
- Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)
- Interest in NLP applications, smart assistants, or chatbot systems
Top Skills
AWS
Azure
Docker
GCP
Huggingface Transformers
Langchain
Numpy
Openai
Pandas
Python
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.
Top Skills:
AICloud ComputingLarge Language ModelsMachine LearningMlops
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Staff Machine Learning Engineer designs and implements models for risk management, develops real-time ML pipelines, and collaborates with experts to enhance financial operations using ML and GenAI techniques.
Top Skills:
Deep Neural NetworksGenerative AiLarge Language ModelsMachine LearningScalable Distributed ApplicationsTransformers
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Machine Learning Engineer, you'll utilize advanced ML techniques to develop AI infrastructure, mentor team members, and enhance customer interactions while ensuring system reliability and scalability.
Top Skills:
Apache AirflowDatabricksDeep LearningFlinkKafkaLarge Language ModelsPythonSnowflakeSpark
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.