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Senior Data Scientist

Senior Data Scientist

Antz AIHyderabad, Telangana, India
4 days ago
Job description

Location : Hyderabad,

Experience : 7-9 Years

Employment Type : Full-time

Company Description

At Antz AI, we lead the AI revolution with a focus on AI Agentic Solutions. Our mission is to integrate intelligent AI Agents and Human-Centric AI solutions into core business processes, driving innovation, efficiency, and growth. Our consulting is grounded in robust data centralization, resulting in significant boosts in decision-making speed and reductions in operational costs. Through strategic AI initiatives, we empower people to achieve more meaningful and productive work.

Role Summary : We are seeking a highly experienced and dynamic Senior AI Consultant with 7-9 years of overall experience to join our rapidly growing team. The ideal candidate will be a hands-on technologist with a proven track record of designing, developing, and deploying robust AI solutions, particularly leveraging agentic frameworks. This role demands a blend of deep technical expertise, strong system design capabilities, and excellent customer-facing skills to deliver impactful real-world products. We are looking for an immediate joiner who can hit the ground running.

Key Responsibilities :

  • Solution Design & Architecture : Lead the design and architecture of scalable, high-performance AI solutions, emphasizing agentic frameworks (e.g., Agno, Langgraph) and microservices architectures.
  • Hands-on Development : Develop, implement, and optimize AI models, agents, and supporting infrastructure. Write clean, efficient, and well-documented code, adhering to software engineering best practices.
  • Deployment & Operations : Oversee the deployment of AI solutions into production environments, primarily utilizing AWS services. Implement and maintain CI / CD pipelines to ensure seamless and reliable deployments.
  • System Integration : Integrate AI solutions with existing enterprise systems and data sources, ensuring robust data flow and interoperability.
  • Customer Engagement : Act as a key technical liaison with clients, understanding their business challenges, proposing AI-driven solutions, and presenting technical concepts clearly and concisely.
  • Best Practices & Quality : Champion and enforce best practices in coding, testing, security, and MLOps to ensure the delivery of high-quality, maintainable, and scalable solutions.
  • Problem Solving : Diagnose and resolve complex technical issues related to AI model performance, infrastructure, and integration.
  • Mentorship : Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence.

Required Qualifications :

  • Experience : 7-9 years of overall experience in software development, AI engineering, or machine learning, with a strong focus on deploying production-grade solutions.
  • Agentic Frameworks : Demonstrated hands-on experience with agentic frameworks such as Langchain, Langgraph, Agno, AutoGen , or similar, for building complex AI workflows and autonomous agents.
  • Microservices Architecture : Extensive experience in designing, developing, and deploying solutions based on microservices architectures.
  • Cloud Platforms : Proven expertise in AWS services relevant to AI / ML and microservices (e.g., EC2, S3, Lambda, ECS / EKS, SageMaker, DynamoDB, API Gateway, SQS / SNS).
  • Programming & MLOps : Strong proficiency in Python. Experience with MLOps practices, including model versioning, monitoring, and pipeline automation.
  • System Design : Excellent understanding and practical experience in system design principles, scalability, reliability, and security.
  • Real-World Deployment : A strong portfolio demonstrating successful deployment of AI products or solutions in real-world, production environments.
  • Customer-Facing : Prior experience in customer-facing roles, with the ability to articulate complex technical concepts to non-technical stakeholders and gather requirements effectively.
  • Immediate Availability : Ability to join immediately.

    • Preferred Qualifications / Bonus Points :

  • Experience with other cloud platforms (Azure, GCP).
  • Knowledge of containerization technologies (Docker, Kubernetes).
  • Familiarity with various machine learning domains (NLP, Computer Vision, Generative AI).
  • Contributions to open-source AI projects.
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    Senior Data Scientist • Hyderabad, Telangana, India