Are you passionate about leveraging AI and machine learning to create cutting-edge solutions? We are looking for a skilled AI/ML Engineer to join our team and contribute to the development of AI-driven applications and systems. You will play a key role in designing, building, and deploying AI solutions using cloud-based AI services and on-prem application pipelines, ensuring production-ready quality.
In this role, you will work with GenAI models, deep learning techniques, neural networks, chatbots, and image processing technologies, collaborating with a team of experts to develop innovative AI-driven applications. If you have a strong foundation in Data Science, statistical analysis, and machine learning, along with hands-on experience in data visualization tools, data munging techniques, and model deployment, we’d love to hear from you!
Roles & Responsibilities
- Developing AI-driven applications and systems. Utilize AI tools, frameworks, and cloud AI services to build robust, scalable applications tailored for real-world use cases.
- Creating production-ready pipelines. Design, implement, and optimize cloud-based or on-prem application pipelines to support AI/ML workloads in a scalable and efficient manner.
- Applying Generative AI (GenAI) models. Integrate and fine-tune GenAI models for various applications, including chatbots, NLP solutions, image recognition, and automation tools.
- Working with deep learning and neural networks. Implement deep learning models, neural network architectures, and AI-driven decision systems for diverse applications, from image processing to predictive analytics.
- Contributing innovative solutions. Actively participate in team discussions, brainstorming sessions, and problem-solving efforts to improve AI and ML-based solutions.
- Enhancing data pipelines and workflows. Work on data preprocessing, feature engineering, and optimization to ensure seamless integration of AI solutions into existing systems.
- Collaborating with cross-functional teams. Work alongside data scientists, cloud engineers, and business stakeholders to understand requirements and develop AI solutions that drive business impact.
- Keeping up with industry trends. Stay updated with emerging AI/ML trends, tools, and best practices to continuously enhance our AI capabilities.
Professional & Technical Skills
Must-Have Skills
- Strong expertise in Data Science, including machine learning, deep learning, and AI model development.
- Proficiency in statistical analysis, data modeling, and algorithm development to build AI-powered applications.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with data visualization tools such as Tableau or Power BI for presenting AI-driven insights.
- Proficiency in Python, R, or SQL for data processing, analysis, and machine learning implementation.
- Strong knowledge of cloud AI services (AWS, Azure, or Google Cloud) and experience in deploying AI models in cloud environments.
- Solid understanding of data preprocessing, transformation, feature engineering, and normalization techniques.
Good-to-Have Skills
Knowledge of MLOps practices for continuous deployment, model monitoring, and lifecycle management.
Experience with big data technologies (Spark, Hadoop) for handling large-scale AI workloads.
Understanding of AI ethics and responsible AI principles to ensure fairness, transparency, and accountability in AI solutions.
Familiarity with AI-powered chatbots, NLP, and image processing techniques.
Additional Information
- Experience. Minimum 3 years in Data Science and AI/ML development.
- Location. Bengaluru, India (Hybrid/On-site).
- Education. Bachelor's Degree (Any field).
If you're an experienced AI/ML Engineer looking for an exciting opportunity to work on cutting-edge AI applications, apply now and be part of a dynamic, innovative team!