AI/ML Associate

Company:

Nekko

Position:

AI/ML Associate 

Experience:

1–2 Years 

Location:

Hyderabad (On-site)

We are Bengaluru-based innovators  pioneering the future of enterprise efficiency through Agentic AI and Autonomous Process Automation. Rather than building traditional software, we design intelligent, autonomous “digital coworkers” powered by our proprietary TensAI Platform and Nekko Iris to streamline complex, high-volume workflows for global industries.

As we scale our engineering team,we are seeking a driven AI/ML Associate

who is passionate about translating cutting-edge machine learning into production-ready enterprise solutions. If you are eager to build, optimize, and deploy advanced models natively within a robust AWS infrastructure, we invite you to join us in redefining industry automation. 

Key Responsibilities

• Model Implementation:

  Develop and fine-tune ML models for Computer Vision, OCR, classification, and predictive tasks using YOLO, OpenCV, and PyTorch/TensorFlow.

• Data Engineering Foundations:

  Participate in data preprocessing, cleaning, feature engineering, and dataset validation pipelines.

• Cloud & Infrastructure Exposure:

  Learn to deploy and monitor basic models using AWS services like Lambda, S3, and EC2.

• Research & Experimentation:

  Explore open-source models, frameworks, and generative AI tools to help solve unique business challenges.

• Pipeline Ownership:

  Build and maintain robust data engineering and feature engineering pipelines.

• API Integration:

  Wrap models into clean, efficient APIs using FastAPI or Flask for seamless platform integration.

• Collaboration & Documentation:

  Partner with senior engineers to translate business workflows into autonomous AI agents, while maintaining clean code repositories (Git) and thorough technical documentation.

Qualifications & Core Skills

• Education:

  Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.

• Experience:

  1–2 years of professional, hands-on experience in an AI/ML development role.

• Programming:

  Strong proficiency in Python

  is a MUST, with clean coding practices.

• Core ML & CV Stack:

  Strong foundational knowledge of ML frameworks (scikit-learn, PyTorch, or TensorFlow) and Computer Vision libraries ( OpenCV, YOLO

  ).

• GenAI Exposure:

  Practical familiarity with Generative AI concepts, prompt engineering, and LLM orchestration frameworks (e.g., LangChain

  or LlamaIndex).

• Databases:

  Solid understanding of SQL; exposure to NoSQL and Vector Databases ( FAISS, Pinecone

  ) is highly preferred.

• Cloud & MLOps:

  Foundational knowledge or hands-on experience with cloud AI workflows, specifically AWS services

  (Bedrock, Lambda, EC2, S3).

• Data Engineering:

  Basic experience with data engineering pipelines or platforms like Databricks is a significant advantage.

• Frameworks (Academic or Project experience):

  Familiarity with at least one framework like scikit-learn, PyTorch, TensorFlow, OpenCV, or YOLO.

• The AI Edge:

  Basic exposure to Generative AI concepts (Prompt engineering, LLMs, or LangChain) through personal projects or coursework.

• Soft Skills:

  An intense curiosity to learn, adaptability to new technologies, and strong communication skills.

Preferred (Bonus) Skills

• Exposure to cloud services (AWS, Azure, or GCP).
• Familiarity with building basic APIs using FastAPI or Flask.
• Experience with git version control or data visualization tools (Plotly, Matplotlib).

What We Offer

• Direct Impact:

  The chance to work directly on enterprise-grade Agentic AI and LLM applications, not just maintenance tasks.

• Mentorship:

  Accelerated career growth with guidance from seasoned AI architects and industry veterans.

• Culture:

  A fast-paced, collaborative, and innovation-driven environment where your ideas turn into production code.

How to Apply

If you are ready to elevate your career in AI/ML and build next-generation autonomous software, please submit your updated resume alongside a link to your GitHub portfolio or recent project highlights.

Drop in an email to [email protected]