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.