Job Summary -

The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions.

In this Role, Your Responsibilities Will Be:

Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required.

Who You Are:

You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems.  You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices.

For This Role, You Will Need:

Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a Master's degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e.g., GPT, Embeddings, Vector databases, Diffusion models)  Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools.

Preferred Qualifications that Set You Apart:

Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.