Key Responsibilities :
- Develop and deploy advanced Generative AI large language models, Machine Learning and Deep Learning models / algorithms to enhance or automate business processes with predictive decision-making, content aggregation, and contextual insights
- Collaborate with data scientists and data engineers to build production-level models and pipelines, including dataset preprocessing and model output postprocessing
- Process, cleanse, and verify integrity of structured and unstructured business data used in analysis
- Analyze large data sets to uncover trends and patterns for solving business problems; perform feature selection and data transformation for model optimization
- Evaluate, visualize, and communicate AI / ML model results and their correlation with business KPIs
- Operate in a startup-type environment to design and build innovative apps using automation, cognitive services, and ML from PoC to production-ready solutions
- Lead assessments, workshops, and detailed analysis to recommend AI-driven solutions with high business impact
- Work within project planning constraints; identify project risks / issues and communicate effectively with delivery managers
- Support operations teams during UAT and go-live, and develop standard operational practices
- Continuously optimize existing AI / ML operations, build monitoring and alerting systems for early issue detection
- Partner with business users, functional teams, and stakeholders to translate business problems into technical solutions
You Must Have :
Bachelor's in Computer Science, Data Science, or Engineering fields4–6 years of IT experience in solution architecture, data science, or software developmentHands-on experience with LLM engineering and LLMOps, including advanced prompt engineering and fine-tuning of LLMs3+ years experience in building / deploying ML solutions using supervised and unsupervised algorithms (e.g., Linear / Logistic Regression, SVMs, DNNs, Random Forest)3+ years hands-on experience with Python and ML libraries like scikit-learn, Keras, TensorFlow2+ years experience with NLP / NLG frameworks (e.g., HuggingFace, NLTK, Spacy, Gensim)2+ years experience on Databricks platform2+ years experience developing AI / ML cognitive services on Azure Cloud and DatabricksWe Value :
Master's Degree in Computer Science, Data Science, or EngineeringEducational or work experience in data science, data engineering, and analyticsProficiency in feature engineering, model tuning, and algorithm selectionFamiliarity with frameworks such as LangChain, LlamaIndex, and vector databasesExperience with NLP / NLG, AI Chatbots, and OCR technologiesExperience with Big Data technologies (e.g., Hadoop, PySpark, Hive)Familiarity with DevSecOps, CI / CD pipelines, and workflow orchestration tools (e.g., Airflow, Opsera)Experience with Docker and KubernetesPrior work in Agile / Scrum / SAFe and DevOps environmentsRelevant certifications or coursework in Generative AI, AI / ML, and Cloud platformsExcellent communication skillsSkills Required
Data Analysis, Machine Learning, Project Planning, Automation, Python, Analytics