We are actively seeking a passionate and experienced Machine Learning Engineer who thrives on solving real-world problems using data, cutting-edge machine learning models, and modern AI/ML frameworks. This is an exciting opportunity for someone who enjoys innovation and wants to play a key role in building intelligent systems that make a significant impact across the organization.
You will work at the intersection of data engineering, statistical analysis, and machine learning, developing scalable and efficient models to support various business functions such as product development, marketing optimization, customer behavior analysis, and strategic decision-making.
Experience. 3–6 Years
Key Responsibilities
- Analyze and interpret large volumes of data from diverse sources to identify patterns, trends, and actionable insights.
- Design and develop scalable ML/AI solutions and pipelines to address business challenges across different verticals.
- Build and deploy custom machine learning models and algorithms, ranging from classical models to deep learning architectures.
- Leverage cutting-edge technologies to improve predictive accuracy and performance, including GPU-accelerated computing for model training and inference.
- Apply machine learning techniques such as clustering, regression, classification, boosting, and neural networks based on problem requirements.
- Define robust model evaluation metrics and conduct thorough performance benchmarking.
- Collaborate closely with cross-functional teams including data engineers, software developers, product managers, and business stakeholders to integrate ML solutions into production environments.
- Monitor and maintain deployed models, ensuring sustained performance and retraining as necessary.
- Explore and implement LLMs (Large Language Models), fine-tune them for specific tasks, and build GenAI solutions including Retrieval-Augmented Generation (RAG) pipelines.
- Stay up to date with the latest research and advancements in AI/ML, and proactively incorporate new techniques and tools to improve outcomes.
- Contribute to best practices in code quality, version control (Git), reproducibility, and documentation.
Primary Skills and Qualifications
- A Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline.
- Proficiency in statistical programming languages such as Python and/or R to manipulate data and develop ML models.
- Solid understanding of core machine learning concepts and techniques (e.g., decision trees, random forests, boosting, neural networks, etc.), including the advantages and limitations of each.
- Experience with major ML frameworks and libraries TensorFlow, PyTorch, Scikit-learn, SciPy, XGBoost, etc.
- Familiarity with at least one of the leading cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure.
- Strong knowledge of software engineering best practices, including experience with Git for version control.
- Excellent communication skills both written and verbal with the ability to explain complex technical concepts to non-technical stakeholders.
Secondary Skills (Nice to Have)
- Prior experience in domains like E-commerce or Digital Advertising.
- Exposure to Natural Language Processing (NLP), Time Series Forecasting, and Computer Vision projects.
- Hands-on experience with libraries like Spacy, NLTK, OpenCV, or other domain-specific toolkits.
- Understanding of parallel computing paradigms and GPU acceleration techniques for efficient model training and deployment.
- Experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, and implementing Generative AI solutions using RAG pipelines.
What We’re Looking For
- Self-motivated and results-driven individuals who are excited about pushing the boundaries of machine learning and AI.
- A team player who thrives in a collaborative, fast-paced, and problem-solving culture.
- An engineer with strong analytical thinking and a passion for building impactful AI solutions that scale.
Why Join Us?
- Be part of a forward-thinking organization where innovation and ideas are valued.
- Work with a passionate and talented team on cutting-edge technologies.
- Opportunity to shape the direction of AI/ML initiatives and bring meaningful impact to real-world applications.
- Exposure to a wide range of business domains and challenges.
- Flexible work environment and room for growth.
If you’re ready to hit the ground running and make a difference from Day 1, we’d love to hear from you!