Company Overview :

InnovationM Mobile and Web Technologies Private Limited is a specialized technology services firm focused on delivering high-end mobile and web application development. The company partners with global enterprises and startups to build scalable digital products across diverse sectors including fintech, healthcare, and e-commerce. With a strong emphasis on engineering excellence, InnovationM maintains a culture of continuous learning and technical rigor, enabling its teams to solve complex architectural challenges for a broad client base.

Role Overview :

As an ML Engineer, you will be at the forefront of integrating advanced artificial intelligence into our existing product ecosystem. You will collaborate closely with cross-functional teams of software developers, product managers, and data scientists to design, deploy, and maintain machine learning models that enhance user experiences. Your daily work will involve translating business requirements into robust technical solutions, ensuring that our applications leverage the latest in natural language processing and generative AI to drive measurable business impact and operational efficiency.

Key Responsibilities :

- Develop and deploy scalable LLM-based applications to automate complex workflows and improve user engagement for our enterprise clients.

- Architect and fine-tune NLP models to extract actionable insights from unstructured data, directly contributing to data-driven decision-making processes.

- Optimize machine learning pipelines to ensure high performance and low latency in production environments, enhancing the reliability of our digital platforms.

- Collaborate with engineering teams to integrate AI features into web and mobile architectures, ensuring seamless functionality and user-centric design.

- Monitor model performance and iterate on existing algorithms to maintain accuracy and relevance in evolving market conditions.

Required Skillset :

- Demonstrate proficiency in Python for building production-grade machine learning systems and data processing pipelines.

- Apply deep expertise in NLP techniques and LLM frameworks to solve real-world language understanding and generation problems.

- Communicate complex technical concepts effectively to non-technical stakeholders to ensure alignment on project goals and deliverables.

- Exhibit a strong ability to work independently in a remote environment, managing time effectively to meet project milestones and deadlines.

- Possess a solid foundation in computer science principles, typically acquired through a degree in Engineering or a related quantitative field.

- Adapt quickly to new tools and emerging technologies, maintaining a proactive approach to problem-solving within a fast-paced development cycle.

- Hold 2 - 5 years of professional experience in designing and deploying machine learning solutions in a commercial setting.