Sr. AI Consultant

Job Description

Role & responsibilities Job Description Job Overview We are seeking an experienced AI/ML Consultant with 8-12 years of experience to lead the design, development, and deployment of AI and Machine Learning solutions for enterprise-level projects. The ideal candidate will have strong expertise in deep learning, machine learning algorithms, cloud AI services, and MLOps, with a focus on solving real-world business challenges using AI. Key Responsibilities AI/ML Strategy & Consulting • Work closely with stakeholders to understand business challenges and identify opportunities where AI/ML can drive value. • Develop AI/ML roadmaps, proof-of-concept models, and scalable AI strategies. • Advise on AI governance, model explainability, and ethical AI practices. Model Development & Deployment • Design, build, and optimize machine learning models for classification, regression, NLP, computer vision, and recommendation systems. • Implement and fine-tune deep learning architectures (CNNs, RNNs, Transformers). • Work with large-scale datasets for feature engineering, data preprocessing, and model training. • Deploy models using MLOps best practices, ensuring efficient monitoring, retraining, and lifecycle management. Large Language Model (LLM) Development & AI Agents • Fine-tune, train, and deploy LLMs (GPT-4, LLaMA, Mistral, Falcon, Claude, Gemini) for chatbots, knowledge management, and intelligent automation. • Implement Retrieval-Augmented Generation (RAG) to improve response accuracy and integrate knowledge bases. • Develop AI Agents that can handle complex workflows, automate customer interactions, and execute multi-step reasoning. • Experiment with multi-modal AI (text, image, and video) for industry-specific use cases. Technical Leadership & Innovation • Lead AI/ML teams in building scalable solutions using Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure). • Stay up to date with AI research and recommend cutting-edge solutions for business applications. • Implement best practices in model interpretability, fairness, and bias mitigation. Collaboration & Knowledge Sharing • Work with cross-functional teams, including data engineers, software developers, and business analysts, to integrate AI models into production systems. • Mentor junior AI engineers and provide technical guidance on ML frameworks and architectures. • Conduct workshops and knowledge-sharing sessions on AI trends and best practices. Mandatory Qualifications Preferred Qualifications: • Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related fields. • Experience with generative AI models/LLMs • AI certifications from AWS, Google, or Microsoft. Mandatory Skills Required Qualifications & Skills Technical Skills: • Programming: Python, R, SQL, Java (optional). • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. • Data Handling: Pandas, NumPy, Spark, Snowflake. • MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. • Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). • LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. • NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. • Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: • Strong analytical and problem-solving abilities. • Ability to communicate complex AI concepts to non-technical stakeholders. • Experience working in agile environments. • Ability to lead AI initiatives and mentor teams. Preferred candidate profile Perks and benefits