The posting
ML Engineer
## Job Summary We are seeking an experienced Machine Learning Engineer with a strong background in Generative AI (Gen AI), Natural Language Processing (NLP), and Deep Learning. The ideal candidate will have a proven track record working across startups, particularly in SaaS (Software as a Service) environments, and experience with the US market. You will be responsible for designing, developing, and deploying state-of-the-art machine learning models, with a focus on innovative AI solutions that drive product capabilities and business growth.
## Responsibilities - Design, develop, and implement advanced machine learning models, particularly in Gen AI, NLP, and Deep Learning domains. - Collaborate with cross-functional teams to integrate ML solutions into SaaS products and platforms. - Analyze large and complex datasets to extract actionable insights and improve model performance. - Stay current with the latest research and advancements in ML, AI, and related fields, applying relevant findings to real-world problems. - Optimize and monitor deployed models for scalability, reliability, and performance in production environments. - Document processes, algorithms, and best practices for internal knowledge sharing and future reference.
## Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. - Minimum 2 years of hands-on experience in machine learning, with a focus on Gen AI, NLP, and Deep Learning. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar. - Solid understanding of machine learning algorithms, statistical analysis, and data preprocessing. - Experience with data engineering pipelines and cloud platforms (e.g., AWS, GCP, Azure). - Strong analytical and problem-solving skills, with the ability to work independently and in a team. - Excellent communication skills for technical and non-technical stakeholders.
## Preferred Skills - Experience working in fast-paced startup environments, especially SaaS companies. - Exposure to the US market and understanding of its business/technical landscape. - Familiarity with MLOps tools and practices for model deployment and monitoring. - Knowledge of large language models (LLMs) and generative AI architectures. - Contributions to open-source ML or AI projects.
## Experience - Minimum 2 years of relevant experience in machine learning, preferably with exposure to Gen AI, NLP, Deep Learning, and SaaS startups. - Experience with US-based products or markets is a plus.
## Environment - Full-time position. - Dynamic, fast-paced team environment typical of startups. - Location not specified; flexibility for remote or hybrid work may be considered depending on company policies.
## Salary - Estimated annual salary: ₹2,000,000 and above (upper limit not specified).
## Growth Opportunities - Opportunity to work on cutting-edge AI projects with significant impact. - Potential for rapid career advancement within a growing technology-focused organization. - Exposure to the latest tools, techniques, and global SaaS markets.



