About the role
Job Scope : We are seeking an experienced software engineer with experience in AI and machine learning solutions. As an engineer, you will be responsible for implementing AI-driven solutions for a wide range of applications. Your focus will include developing intelligent systems and chatbots using predictive models, LLMs, RAG and other technologies that provide substantial business value. You will also play a pivotal role in working with a talented team of engineers to deliver impactful and innovative solutions. This is a hands-on role that requires both technical expertise and a strong strategic mindset.
Key Responsibilities:
Solution Development: Develop AI/ML-driven solutions to address complex business challenges, ensuring scalability, performance, and robustness.
Innovation: Stay at the forefront of AI/ML trends and technologies, continually integrating the latest advancements into solutions. Do rapid prototyping( POCs) for validation.
Collaboration: Work with cross-functional teams including Data Scientists, Data Engineers, Product Managers, and business stakeholders to define solution requirements and deliver high-quality outcomes.
End-to-End Execution: Oversee the entire lifecycle of the solution from ideation and design to implementation and production.
Quality Assurance: Ensure the technical quality, scalability, and sustainability of solutions through rigorous testing, code reviews, and best practices.
Requirements
Experience: At least 5 years of experience in software development with relevant experience in AI/ML design, and development, with a background in delivering scalable AI solutions.
Technical Skills:
Proficient in Python with knowledge of RDBMS, ORM and frameworks like Django, Flask or FastAPI.
Working knowledge of ReactJS or any other JS framework/library.
Proven experience in designing and deploying chatbots/ conversational agents using NLP techniques and frameworks such as Rasa, DialogFlow, or similar platforms.
Knowledge of Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), including GPT models, and similar architectures.
Hands-on experience with predictive modeling techniques including time series forecasting, regression, classification, and anomaly detection is a plus.
Knowledge of advanced AI techniques like reinforcement learning, deep learning, and computer vision is a plus.
Experience with cloud computing platforms (e.g. AWS, Google Cloud, Azure).
Familiarity with DevOps practices and CI/CD pipelines for deployment.
Analytical Abilities: Strong analytical and problem-solving skills with a drive for optimization and results.
Communication Skills: Excellent verbal and written communication skills with the ability to document processes and collaborate effectively with diverse teams.
Education: Bachelor’s degree in Computer Science or equivalent. Professional certifications in AI or related areas are a plus.
Originally posted on Himalayas