AI/ML Engineer

Who are we:

Turbostart is not just a startup fund and accelerator; we are a catalyst for builders and a powerhouse of innovation. Our mission is to propel early-stage startups into the future by providing unparalleled support in technology, marketing, strategy, and beyond. We're in the business of building tomorrow's leaders - today. After 6 Years and 5 Funds, we have supported over 50 startups, spanning sectors, stages, and geographies - and this is just the beginning!

Turbostart spans India, the Middle East, the US as well as Singapore - giving you the opportunity to gain exposure and see the impact of your work ripple across regions. Turbostart has also launched 5 Centers of Excellence across Tech, Marketing, Sales, UI/UX and Investment Banking to support the growth of our startup network.

Turbostart Technology Development Centre (T2C)

, Turbostart’s Tech Centre of Excellence, gives you the opportunity to be part of the evolution of cutting-edge technology solution development across multiple domains, including EdTech, Fintech, Supply Chain / Logistics, and Media / Entertainment. We have a laser-focused approach on innovation and collaboration backed by strong objective R\&D, futuristic and highly agile models for solution development, collaboration, and engagement.

Know more about us on

https://tsquaredc.com/

What we are looking for:

Role: AI / ML Engineer

We are looking for an AI/ML Engineer to help us build intelligent systems that power real product decisions. You’ll work on predictive and forecasting models, contribute to our Generative AI capabilities, and collaborate closely with a lean agile team that ships fast and stays close to users. This is a hands-on role; you’ll go from research and experimentation to production with minimal overhead.

Location:

Bengaluru

Experience Required

: 4-6 years

What You’ll do

• Design, build, and maintain machine learning models for prediction and forecasting use cases.
• Work on Generative AI features — including LLM integration, prompt engineering, fine-tuning, and RAG pipelines.
• Collaborate with product and engineering teams to turn ambiguous problems into working models in production.
• Evaluate model performance, monitor for drift, and iterate based on real-world feedback.
• Contribute to the full ML lifecycle: data exploration, feature engineering, training, evaluation, and deployment.
• Stay current with the fast-moving AI/ML landscape and bring relevant ideas to the team.

Responsibilities

• 4\+ years of hands-on experience in machine learning or applied AI roles.
• Proven experience building prediction and/or forecasting models in a production environment.
• Experience working with Generative AI — LLMs, prompt engineering, fine-tuning, embeddings, or RAG.
• Strong Python skills; familiarity with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Comfortable working with structured and unstructured data, including feature engineering and preprocessing pipelines.
• Experience deploying and monitoring models in cloud environments (AWS, GCP, or Azure).
• Ability to communicate findings and trade-offs clearly to both technical and non-technical stakeholders.

Nice to have

• Experience with time-series forecasting libraries (eg, Prophet, NeuralProphet, Darts).
• Familiarity with vector databases (e.g, Pinecone, Weaviate, pgvector) for semantic search or RAG.
• Knowledge of MLOps practices and tooling (e.g., MLflow, Weights \& Biases, Airflow).
• Prior work in a startup or fast-paced product environment.

Who you are:

• Pragmatic

— you know when a simple model beats a complex one, and you ship accordingly.

• Curious and self-directed

— you follow the latest AI research and know how to apply it practically.

• Ownership mentality

— you take models all the way to production and care about their real-world impact.

• Collaborative

— you work well across engineering, product, and design without needing hand-holding.