Senior AI Engineer

Academian India; Pune District; Híbrido; INR 3.000.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Hybrid Work Model

PF and Gratuity

Descripción de la vacante

Academian in Pune is seeking a Senior AI Engineer to lead AI developments across computer vision, NLP, and generative AI. You will design, train, and deploy models, build real-time data pipelines, and integrate with cloud AI platforms.

The role requires 4+ years of AI/ML experience, strong Python plus TensorFlow/PyTorch, and hands-on cloud deployment expertise. You will mentor junior engineers, collaborate with cross-functional teams, and contribute to end-to-end AI product lifecycles in the

Formación

• 4+ years of AI/ML system development and deployment.
• Proven track record in cloud environments and data-intensive pipelines.
• Experience with EdTech standards and education workflows is a plus.

Responsabilidades

• Design, train, and deploy AI models for CV, NLP, and Generative AI.
• Fine-tune open-source LLMs for EdTech applications.
• Develop real-time data pipelines using Kafka, Spark, or PySpark.
• Mentor junior engineers and collaborate with cross-functional teams.

Conocimientos

Python

TensorFlow

PyTorch

Scikit-learn

Hugging Face Transformers

LangChain

LangGraph

AWS SageMaker

Spark

Kubernetes

Educación

Bachelor's or Master’s degree in Computer Science, AI, Data Science

Herramientas

Docker

Kubernetes

Databricks

MLflow

Descripción del empleo

Position: Senior AI Engineer

Experience Required: 4+ Years

Company: Academian (EdTech Domain)

Work Location: Pune

Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will have strong foundations in AI algorithms, hands‑on expertise with machine learning and deep learning frameworks, and a forward‑thinking approach to leveraging emerging AI technologies like Agentic AI, RAG, LangGraph, LangChain, Graph Databases, and open‑source LLMs. This role involves designing and implementing advanced AI capabilities, building real‑time data pipelines, integrating with modern cloud AI platforms, and mentoring junior engineers to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.

Key Responsibilities

• AI Model Development:
• Design, train, and deploy AI models for diverse use cases in Computer Vision, NLP, and Generative AI.
• Fine‑tune and deploy open‑source large language models (LLMs) and private models for EdTech applications.
• Implement RAG (Retrieval‑Augmented Generation) systems combining retrieval with generative models.
• Leverage LangGraph and LangChain for orchestration, multi‑step workflows, and stateful agent design.

• Data Engineering & Integration:
• Develop and integrate real‑time data pipelines and event‑driven architectures using Kafka, Spark, or PySpark.
• Build secure, scalable, and cloud‑native AI solutions using AWS Bedrock, SageMaker, Google Vertex AI, Azure ML (AML), Azure AKS, and related services.
• Implement MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.

• AI Infrastructure & Tools:
• Work with modern AI toolkits and frameworks such as Hugging Face Transformers, MLflow, and Databricks.
• Develop prompt engineering strategies and optimize LLMs for improved accuracy and relevance.
• Contribute to internal AI frameworks and toolkits for accelerated adoption across teams.

• Leadership:
• Mentor and guide junior engineers, fostering innovation and skill development.
• Collaborate with cross‑functional teams to align AI strategies with business goals.
• Promote best practices in coding, testing, documentation, and model lifecycle management.

Requirements

• Experience:
• 3+ years in AI/ML system development and deployment in production environments.
• Proven track record of designing AI systems in cloud environments and working with data‑intensive pipelines.

• Technical Skills:
• Strong Python proficiency (async programming, multi‑step workflows).
• Expertise in machine learning and deep learning frameworks: TensorFlow, PyTorch, Scikit‑learn.
• Proficiency with tools like Hugging Face, LangChain, LangGraph, OpenAI API, and Bedrock API.
• Hands‑on experience with ETL/ELT workflows, data transformations, and SQL (data modeling, normalization, optimization).
• Knowledge of RAG architectures, Graph Databases, and MCP (Model Context Protocol).
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, GCP, Azure).

• Domain Knowledge:
• Understanding of EdTech standards like LTI, xAPI, QTI, and SCORM.
• Familiarity with adaptive learning systems and educational content pipelines.
• Knowledge of workflows in K-12, higher education, and corporate learning environments is a strong plus.

• Soft Skills:
• Exceptional leadership and team mentoring abilities.
• Strong problem‑solving skills and excellent communication for technical and non‑technical stakeholders.
• Education:
• Bachelors or Master’s degree in Computer Science, AI, Data Science, or related fields.

Why Join Us

• Opportunity to lead AI initiatives that shape the future of education technology.
• Work in a collaborative, mission‑driven environment with a focus on innovation.
• Engage with impactful projects and cutting‑edge AI technologies.
• Competitive salary, benefits, and opportunities for professional growth.

Employee Benefits

• Health Insurance: Employee + Spouse + Two Children + Parents
• GPA Coverage for Employee
• Hybrid Work Model
• Compliance: PF and Gratuity

About Academian Website: www.academian.comAcademian, a carve‑out of the 22‑year‑old Intraedge Inc (www.intraedge.com), is a rapidly growing service, product, and learning development company specializing in EdTech. With 500+ team members, we deliver innovative solutions spanning LMS, CMS, custom software, cloud architecture, and digital learning. At Academian, you’ll work on transformative projects that improve learning experiences globally. From K-12 to higher education, publishing, and workforce development, we are redefining education technology with a strong commitment to DEIB and innovation.