Data Science Manager

Ninjacart - Pioneer. Challenge Yourself. Create Better Lives

We've served 200,000+ farmers and 60,000+ retailers & and 5000+ Traders. Over the last 10 years, our made-for-India technology and India-centric solutions have revolutionised the way fruits and vegetables reach consumers plates from farms daily. Eg: We move 300 tons of fresh produce from hundreds of farms to 20,000+ stores in a record 14 hours

We are backed by Walmart, Flipkart, Tiger Global, Accel, Syngenta & 1000+ Employees. Named LinkedIn's Top 25 Startups to Work For and winner of "Best Tech for Agriculture" at India Digital Enabler Awards 2025, we're building a global network for fresh fruits and vegetables now expanding to Malaysia & Europe via Ninja Global. Our goal is to be a global leader in fresh produce commerce in the next 10 years.

Our Ninja CODE? Customer obsession, Ownership mindset, Dream Big & bold responsibility, and relentless innovation. Join a results-driven clan where autonomy fuels scale: Think big & impact millions.

Dive Deeper:

• Ninjacart Vision: Better Lives for Every Agri Citizen
• Our 10-Year Evolution
• Blog: Insights from the Frontlines
• Nandan Nilekani on Ninjacart
• Our Culture CODE

Location: Bangalore, KA, IN

Responsibilities

• Provide technical and architectural leadership

  for building scalable, production-grade AI systems, with hands-on experience deploying LLM-powered solutions and multi-agent architectures.

• Design and deliver advanced ML solutions

  across classical ML, deep learning, and statistical modeling, applied to structured and unstructured data to solve complex business problems.

• Lead the use of LLMs and AI agents in real-world applications

  , including prompt engineering, agent orchestration, evaluation frameworks, and reliability guardrails, with demonstrated impact in past projects.

• Own explainability, evaluation, and trust frameworks

  ensuring model and LLM outputs are interpretable, auditable, and suitable for high-stakes decision-making.

• Mentor and guide data scientists across levels

  , setting standards for problem formulation, experimentation, model validation, and production readiness.

• Collaborate with business, product, and engineering teams

  to translate ambiguous requirements into scalable AI and analytical solutions.

• Drive best practices in model governance and lifecycle management

  , including feature pipelines, versioning, monitoring, and continuous improvement.

A Ninja is resilient, smart, and ambitious. Sounds like you? Heres what you will need to have to join the Ninja Clan

Strong hands-on expertise across ML, LLMs, and agent frameworks, including:

• Core tools:

  Python, SQL, pandas, NumPy, scikit-learn, PyTorch/TensorFlow

• ML models:

  linear/GLM models, tree-based models (XGBoost, LightGBM, CatBoost), time-series methods

• LLM & agent frameworks:

  LangChain, LlamaIndex, OpenAI-compatible APIs, vector databases (FAISS, Pinecone, Weaviate), workflow/orchestration tools

• LLM landscape awareness:

  experience evaluating proprietary models (e.g., GPT-4/4o-class models, Claude, Gemini) vs open-source models (e.g., Llama, Mistral, Mixtral), understanding trade-offs across cost, latency, controllability, privacy, and fine-tuning flexibility

• Deployment:

  API-based model serving, cloud platforms, and integration into production systems
• Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
• Strong problem solving, analytical skills, and attention to detail.

Additional Information

At Ninjacart, we are creating a workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. Check out what Life at Ninjacart looks like!