Job Title

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join ourgrowing ML/GenAI team.You will play a key role in designing, developing and productionalizing ML applications byevaluating models, training and/or fine tuning them. You will play a crucial role indeveloping Gen AI based solutions for our customers. As a senior member of the team, youwill take ownership of projects, collaborating with engineers and stakeholders to ensuresuccessful project delivery. At least 5+ years of experience in designing & building AI applications for customerand deploying them into production At least 5 years of Software engineering experience in building Secure, scalable andperformant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP orGen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizingit. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasetsfor prompt development, including data cleaning, transformation, andaugmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts toimprove LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloudplatform involving data warehouses, machine learning platforms, dashboards orCRM tools. Experience working with the end-to-end steps involving but not limited to datacleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzingdata distributions (univariate, bivariate, multivariate), transforming numerical andcategorical data into features, feature selection, model selection, model training anddeployment. Proven experience building and deploying machine learning models in productionenvironments for real life applications Good understanding of natural language processing, computer vision or other deeplearning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost,TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learningservices. Excellent communication, collaboration, and problem-solving skills.Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow CertifiedDeveloper certifications or equivalent. Experience of working with one or more public cloud platforms - GCP, AWS,Azure.Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio forCCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.