Senior Data Scientist SME & AI

Senior Data Scientist SME & AI Architect (10+ Years Experience)

We are seeking a highly accomplished and results-oriented Senior Data Scientist Subject Matter Expert (SME) with over 10 years of experience to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including Generative AI, Computer Vision, and Natural Language Processing (NLP) .

You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.

Key Responsibilities

AI / ML Strategy & Architecture : Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI) , large language models ( LLMs ), and specialized models in Computer Vision and NLP.

Big Data Engineering : Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference.

Cross-Cloud Execution : Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers ( AWS, Azure, and GCP ), ensuring portability, scalability, and cost efficiency.

Specialized Model Development : Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas :

Computer Vision : Developing and optimizing models for image recognition, object detection, and video analytics.

NLP : Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.

Generative AI : Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.

SME Consulting & Mentorship : Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.

MLOps & Governance : Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.

Required Skills and Expertise (10+ Years)

1. Big Data and Cloud Mastery

Programming & Big Data : 10+ years of extensive, hands-on experience with Apache Spark , with strong preference for production development using Scala . Deep expertise with Apache Hive for data querying and management.

Cloud Proficiency : Demonstrated expertise in deploying and managing data / ML workloads across at least two of the three major cloud platforms : AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery).

Data Architecture : Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.

2. Advanced AI / ML Specialization

Generative AI (GenAI) & LLMs : Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs) .

Computer Vision : In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).

NLP : Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.

3. Leadership & Soft Skills

Technical Leadership : Proven track record of leading complex data science projects from research to production deployment.

Communication : Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.

Mentorship : Experience mentoring and training senior engineers and data scientists.

Education and Certification

Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.

Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.