Advanced AI Engr

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 fields
• 4–6 years of IT experience in solution architecture, data science, or software development
• Hands-on experience with LLM engineering and LLMOps, including advanced prompt engineering and fine-tuning of LLMs
• 3+ 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, TensorFlow
• 2+ years experience with NLP/NLG frameworks (e.g., HuggingFace, NLTK, Spacy, Gensim)
• 2+ years experience on Databricks platform
• 2+ years experience developing AI/ML cognitive services on Azure Cloud and Databricks

We Value:

• Master's Degree in Computer Science, Data Science, or Engineering
• Educational or work experience in data science, data engineering, and analytics
• Proficiency in feature engineering, model tuning, and algorithm selection
• Familiarity with frameworks such as LangChain, LlamaIndex, and vector databases
• Experience with NLP/NLG, AI Chatbots, and OCR technologies
• Experience 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 Kubernetes
• Prior work in Agile/Scrum/SAFe and DevOps environments
• Relevant certifications or coursework in Generative AI, AI/ML, and Cloud platforms
• Excellent communication skills