IBU Solution Services AI Senior Engineer

Job Title: IBU Solution Services AI Senior Engineer

Job Function: Analytics and Data Sciences

Location: Bangalore, India

Hiring Manager: Shubhra Verma

Role Level: 7 to 10 years

Detailed Description:

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
• Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions.
• Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectures. u00A0
• Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management.
• Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs).
• Develop and maintain scalable advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT). u00A0.
• Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy.
• Stay at the forefront of AI/ML advancements and integrate cutting-edge techniques into existing and new projects.
• Mentor and provide technical guidance to junior developers and team members.
• Author and maintain detailed documentation of processes, methodologies, and best practices.
• Implement and optimize cutting-edge deep learning models, such as Generative Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT).
• Explore and implement federated learning approaches to build AI/ML models while preserving patient data privacy and security.
• Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models.
• Translate complex AI concepts into actionable insights for business stakeholders.

Required Qualifications:

• Bachelor's, Master's in Computer Science, AI, ML, Data Science, or related fields.
• 7+ years of experience with AI / ML solutions
• Extensive experience in developing and deploying machine learning models in a production environment.
• Expertise in Python (NumPy, Pandas, scikit-learn), and proficiency in Java, Scala, or similar languages.
• Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers). u00A0
• Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI/CD, and model monitoring. u00A0
• Well versed with Agentic AI.
• Deep understanding on Langchain ecosystem.
• Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing. u00A0
• Proficiency in vector databases (FAISS, Chroma DB, Pinecone) for efficient similarity search. u00A0
• Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning.
• In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives.

Preferred Qualifications:

• Experience in regulated industries such as healthcare, biopharma.
• Contributions to AI research, open-source projects, or top-tier AI conferences. u00A0
• Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks. u00A0
• Proven ability to scale AI teams and lead complex AI projects in high-growth environments

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