As a Machine Learning Engineer, you’ll be at the heart of our AI initiatives designing, developing, and deploying intelligent solutions that power our core products and drive innovation across the organization. You'll collaborate with cross-functional teams including data engineering, product management, and software development to build state-of-the-art ML and Gen AI systems that enhance business performance and customer experience.
Key Responsibilities
- Mine, cleanse, and analyze large datasets from diverse sources to extract actionable insights and enable data-driven decision-making.
- Design and develop robust machine learning models and algorithms for various applications including personalization, optimization, forecasting, and customer segmentation.
- Leverage deep learning frameworks and modern NLP techniques to build scalable Gen AI solutions such as LLM fine-tuning, RAG pipelines, and prompt engineering.
- Collaborate closely with business stakeholders to identify opportunities for AI-driven innovation and develop proof-of-concepts that translate into production-grade solutions.
- Evaluate model performance using appropriate statistical methods and continuously iterate to improve accuracy and reliability.
- Implement AI/ML pipelines, ensuring scalability, reproducibility, and monitoring of models in production.
- Stay updated with the latest research, tools, and advancements in AI, Gen AI, ML, and data science, proactively share knowledge with the team.
- Drive best practices for model development, version control (Git), documentation, and agile collaboration.
Required Skills and Qualifications
- Master’s degree in Computer Science, Mathematics, Statistics, or a closely related field.
- Proven hands-on experience with Python (preferred), R, or similar statistical programming languages.
- Deep understanding of machine learning techniques including supervised, unsupervised, and reinforcement learning (e.g., clustering, decision trees, gradient boosting, neural networks).
- Familiarity with ML and deep learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV, and others.
- Experience deploying models on cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Excellent problem-solving and communication skills; ability to work effectively across teams and explain technical concepts to non-technical stakeholders.
- Version control experience with Git and collaborative development workflows.
Preferred / Good-to-Have Skills
- Prior experience in eCommerce or advertising technology domains.
- Hands-on experience with NLP libraries (SpaCy, NLTK, HuggingFace Transformers), Time Series Forecasting, or Computer Vision.
- Exposure to GPU-accelerated computing, parallel processing, or distributed ML frameworks.
- Experience with fine-tuning Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG), and Generative AI solutioning.
- Contributions to open-source ML projects or research publications in AI/ML domains.
Why Join Us?
- Work on cutting-edge AI projects that make a tangible impact.
- Collaborate with a highly talented and forward-thinking team of engineers and data scientists.
- Access to modern tech stacks and flexible working culture.
- Opportunity to innovate and push the boundaries of what's possible with Gen AI and ML.
Apply now to become part of a visionary team shaping the future with AI!