Senior Data Scientist

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:

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.