Egadgetportal
AI Data Specialist
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
8 August 2026
What they need
Shift Ahead is seeking a talented Data Specialist responsible for creating autonomous AI systems that can engage on client calls, understand requirements, plan, reason, learn, and act independently or collaboratively across dynamic environments.
Key Responsibilities:
- Design and develop data interoperability, ingestion, and normalization pipelines.
- Manage structured and unstructured data and create semantic layers.
- Integrate APIs and create agentic AI systems with autonomous decision-making, task decomposition, and adaptive behaviors.
- Implement cognitive architectures, memory systems, and planning algorithms for goal-driven AI agents.
- Integrate LLMs, symbolic reasoning, and generative AI components into cohesive agent frameworks.
- Work closely with cross-functional teams (product, UX, cloud engineering, data science) and deploy AI solutions at scale.
Experience Skills Required:
- 4+ years in AI/ML development, focusing on autonomous agents or AI planning.
- Hands-on experience with agentic frameworks like LangChain, AutoGen, or similar.
- Strong experience with LLMs, transformers, RAG pipelines, and model fine-tuning.
- Proficient in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
- Familiarity with cloud environments (AWS, GCP, Azure) and vector databases (Pinecone, Milvus, Chroma) is highly desirable.
- Strong data modeling skills for Azure, Databricks, Snowflake, etc.
Additional Information:
- Flexible and committed consultants are welcome for shorter hours per week.
- Confident candidates ready to work independently are encouraged to apply.
Interested candidates may forward their CV to:
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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