Job Description

We are looking for a seasoned Data Scientist/AI Architect to build and lead our AI practice In this role, you will take responsibility for delivering AI projects end-to-end, focusing on hands-on development and deployment of models, including Computer Vision, Generative AI, and traditional Machine Learning techniques You will work closely with clients to take AI solutions live, ensuring the highest standards of reliability, scalability, and performance This is a strategic and technical leadership role, ideal for someone passionate about AI innovation, building AI practices, and transforming business challenges into practical AI solutions Primary Skills: Python, Deep Learning, NLP, Computer Vision, ML Libraries Secondary Skills: Docker, Kubernetes Roles & Responsibilities Build and lead the AI practice, creating a roadmap for AI/ML projects that align with business goals Architect, design, and implement AI/ML solutions using techniques such as computer vision, generative AI, traditional machine learning, and deep learning Take projects live, ensuring all aspects of AI development (from data pipelines to model deployment) are production-ready and scalable Develop, train, and deploy AI models in real-world environments, adhering to best practices for model validation, monitoring, and continuous improvement Collaborate with cross-functional teams, including data engineers, software developers, and business analysts, to ensure AI solutions meet client needs Conduct feasibility studies and AI assessments, providing actionable insights and recommendations for clients Stay up to date with the latest trends in AI and machine learning, including advancements in GenAI, computer vision, and automation technologies Establish best practices for AI project management, governance, and risk mitigation ("belt and braces" approach) Present technical concepts and project outcomes to both technical and non-technical stakeholders Required Qualifications: Proven experience (8+ years) as a Data Scientist or AI Architect, leading AI projects from concept to production Strong expertise in Machine Learning, Deep Learning, and Computer Vision algorithms, with hands-on experience in frameworks such as TensorFlow, PyTorch, Keras, etc Experience with Generative AI models (eg, GPT, diffusion models) and practical knowledge of NLP and large language models Proficiency in Python application development using Flask, FastAPI or DRF Proficiency in ML libraries (eg, Scikit-learn, OpenCV), as well as cloud-based ML services (AWS SageMaker, GCP AI Platform, Azure ML) Proven track record of deploying AI models into production, integrating with larger software ecosystems and scaling them for real-world use cases Familiarity with MLOps best practices, including model lifecycle management, monitoring, and retraining pipelines Strong analytical skills and experience with data pre-processing, feature engineering, and modelevaluation techniques Excellent communication skills, with the ability to convey complex AI concepts to both technical and non-technical audiences Preferred Qualifications: Experience with advanced Computer Vision techniques, such as object detection, image segmentation,and video analytics Experience with cloud infrastructure for AI workloads, containerization (Docker, Kubernetes), and scalable distributed systems Experience in building AI/ML practice, mentoring teams, and contributing to thought leadership in the AI space PhD or Master s degree in Computer Science, AI, Machine Learning, or a related field What We Offer: Opportunity to lead and shape the AI practice, working with cutting-edge AI technologies Competitive salary and benefits Flexible work environment with opportunities for professional growth