Our mission is to create a future where artificial intelligence and machine learning drive innovation, and we're looking for talented individuals to join our team. We are dedicated to developing cutting-edge solutions that harness the power of these technologies.
For over two decades, our company has been at the forefront of business transformation, leveraging technology to make a real impact on the world. Driven by our passion for innovation, we support clients from design to implementation, building solutions that reach billions of lives.
About the Role:
We're seeking an exceptional Machine Learning Engineer to join our growing AI team. As a key member of our team, you will be responsible for designing, training, fine-tuning, and deploying machine learning models that power autonomous exception resolution, anomaly detection, and explainable insights.
Your Key Responsibilities:
* Design, train, fine-tune, and deploy machine learning models for production use cases.
* Build retrieval-augmented generation pipelines using vector databases and frameworks like LangChain, LangGraph, and MCP.
* Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineers to maintain data pipelines for ML workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Implement model monitoring, drift detection, and retraining pipelines.
* Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.
* Cross-functional collaboration with R&D, data science, product, and engineering teams.
* Mentor junior engineers and contribute to best practices in ML engineering.
Required Qualifications:
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
* 3+ years of experience building and deploying machine learning systems.
* Advanced English language skills.
* Strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
* Hands-on experience with LLMs/SLMs including fine-tuning, prompt design, and inference optimization.
* Familiarity with at least two of the following: OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA.
* Knowledge of vector databases, embeddings, and RAG pipelines.
* Experience working with both structured and unstructured data at scale.
* Understanding of SQL and distributed data frameworks like Spark or Ray.
* Deep knowledge of ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.
Preferred Qualifications:
* Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
* Understanding of AI safety, guardrails, and explainability.
* Hands-on experience deploying ML/LLM solutions on AWS, GCP, or Azure.
* Familiarity with MLOps practices including CI/CD, monitoring, and observability.
* Background in anomaly detection, fraud/risk modeling, or behavioral analytics.
* Contributions to open-source AI/ML projects or research publications.
We offer a dynamic and supportive work environment that fosters growth and innovation. Join us and become part of a team that shapes the future of artificial intelligence and machine learning.