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Artificial Intelligence Engineer

TalAstra HR Consultants Private Limited

5 - 12 years

Bengaluru

Posted: 08/01/2026

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Job Description

Position: AI/ML Architect

Experience required: 5 to 12 years

Job location: PAN India (Hybrid mode)

No. of positions: 20+


Key Responsibilities:

Architecture & Design:

  • Architect end-to-end AI/ML solutions tailored to financial services use cases such as fraud detection, risk scoring, customer analytics, and generative AI applications.
  • Define scalable, secure, and maintainable AI architectures integrating data ingestion, model training, deployment, and monitoring.
  • Select appropriate tools, frameworks, and platforms based on business and technical requirements.

Hands-On Development & PoCs:

  • Independently build and validate complex PoCs to demonstrate feasibility and value of AI solutions.
  • Rapidly prototype models and pipelines using Python, TensorFlow/PyTorch, and cloud-native services.
  • Optimize models for performance, scalability, and compliance.

Implementation Support & Mentorship:

  • Guide and mentor development teams during implementation, ensuring adherence to architectural standards.
  • Conduct code reviews, troubleshoot issues, and support deployment and monitoring of models.
  • Foster best practices in MLOps, model governance, and responsible AI.


Required Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, or related field.
  • 5-12 years of experience in software development, with 4+ years in AI/GenAI/ML solutioning.
  • Proven track record of building and deploying AI solutions in production environments.
  • Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, etc.).
  • Familiarity with data privacy regulations and compliance frameworks (e.g., GDPR, RBI guidelines).

Preferred Skills:

  • Exposure to LLMs, RAG architectures, vector databases, and generative AI
  • Hands on engineering, problem solving and design thinking skill is must
  • Excellent communication and client-facing skills
  • Certifications in AI/ML or cloud architecture is nice to have

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