We are looking for a highly motivated and experienced Machine Learning Engineer with a deep understanding of both traditional ML techniques and cutting-edge Generative AI technologies. This is an exciting opportunity to be at the forefront of AI innovation, working on large-scale, impactful projects that directly influence the company’s core products and strategic initiatives.
Key Responsibilities
- Work closely with data scientists, product teams, and business stakeholders to identify, design, and execute machine learning solutions aligned with organizational goals.
- Utilize structured and unstructured data to build scalable ML models and Gen AI applications that improve decision-making, customer experience, marketing effectiveness, and operational efficiency.
- Apply advanced techniques in supervised, unsupervised, and reinforcement learning, including but not limited to clustering, decision trees, gradient boosting, neural networks, and transformers.
- Design, train, fine-tune, and deploy LLMs (Large Language Models) with a focus on RAG (Retrieval-Augmented Generation) pipelines and Generative AI frameworks.
- Conduct in-depth analyses on data collected from diverse sources, assess data quality, and build robust pipelines for model training and deployment.
- Translate business requirements into AI solutions, implement prototypes quickly, and iterate based on performance metrics and feedback.
- Work on a wide range of domains including NLP, Computer Vision, Time Series Forecasting, and Recommendation Systems.
- Leverage cloud platforms (AWS, GCP, Azure) to train and deploy models at scale with attention to performance, latency, and cost.
- Implement best practices for model evaluation, A/B testing, and continuous monitoring in production environments.
- Actively contribute to innovation efforts, staying updated with the latest in AI research, tools, and frameworks.
Required Qualifications & Skills
- A Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related field.
- Strong proficiency in programming with Python (preferred), R, or similar languages for data manipulation, statistical analysis, and machine learning.
- Deep understanding of machine learning fundamentals and real-world experience implementing models using libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost, SciPy, and others.
- Experience with code versioning and collaboration tools such as Git.
- Solid understanding of cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure for scalable model deployment and storage.
- Excellent communication skills, both written and verbal, for cross-functional coordination and documentation.
Preferred/Secondary Skills (Nice to Have)
- Industry experience in E-commerce or Online Advertising is highly desirable.
- Exposure to NLP libraries such as SpaCy, NLTK, transformers (Hugging Face), and Computer Vision libraries like OpenCV or Detectron2.
- Experience with GPU acceleration, parallel computing, and distributed training.
- Hands-on experience in building or fine-tuning LLMs, implementing Gen AI solutions with custom datasets, and integrating RAG frameworks into production.
- Familiarity with data governance, MLOps, automated model retraining, and monitoring solutions.
Why Join Us?
- Work on cutting-edge AI/ML projects with a direct impact on business and customer outcomes.
- Be part of a high-caliber team driving digital transformation through innovation.
- Opportunities to work with large-scale data, advanced infrastructure, and modern AI toolkits.
- A collaborative and inclusive culture that values creativity, learning, and ownership.
As a part of our dynamic and collaborative AI/ML team, you will be responsible for designing, developing, and deploying advanced machine learning models and Gen AI solutions to solve complex business challenges across domains such as customer personalization, demand forecasting, content generation, natural language processing, and more. Your work will help drive our innovation engine, influence product direction, and deliver intelligent, scalable AI-powered services.