AI / ML Engineer - Data Modeling

About Beco :

Beco (letsbeco.com ) is a fast-growing Mumbai-based consumer-goods company on a mission to replace everyday single-use plastics with planet-friendly, bamboo- and plant-based alternatives. From reusable kitchen towels to biodegradable garbage bags, we make sustainable living convenient, affordable and mainstream. Our founding story began with a Mumbai beach clean-up that opened our eyes to the decades-long life of a single plastic wrapper sparking our commitment to Be Eco every day.

Our mission : To craft, support and drive positive change with sustainable & eco-friendly alternatives one Beco product at a time.

Backed by marquee climate-focused VCs and now 50 + employees, we are scaling rapidly across Indias top marketplaces, retail chains and D2C channels.

Why were hiring :

Sustainability at scale demands operational excellence. As volumes explode, we need data-driven, self-learning systems that eliminate manual grunt work, unlock efficiency and delight customers. You will be the first dedicated AI / ML Engineer at Becoowning the end-to-end automation roadmap across Finance, Marketing, Operations, Supply Chain and Sales.

What youll do :

Impact Area

Example Projects (0-12 months)

Responsibilities :

• Partner with functional leaders to translate business pain-points into AI / ML solutions and automation opportunities.
• Own the complete lifecycle : data discovery, cleaning, feature engineering, model selection, training, evaluation, deployment and monitoring.
• Build robust data pipelines (SQL / BigQuery, Spark) and APIs to integrate models with ERP, CRM and marketing automation stacks.
• Stand up CI / CD + MLOps (Docker, Kubernetes, Airflow, MLflow, Vertex AI / SageMaker) for repeatable training and one-click releases.
• Establish data-quality, drift-detection and responsible-AI practices (bias, transparency, privacy).
• Mentor analysts & engineers; evangelise a culture of experimentation and fail-fast learning -core to Becos GSD (Get Shit Done) values.

Must-have qualifications :

• 3 + years hands-on experience delivering ML, data-science or intelligent-automation projects in production.
• Proficiency in Python (pandas, scikit-learn, PyTorch / TensorFlow) and SQL; solid grasp of statistics, experimentation and feature engineering.
• Experience building and scaling ETL / data pipelines on cloud (GCP, AWS or Azure).
• Familiarity with modern Gen-AI & NLP stacks (OpenAI, Hugging Face, RAG, vector databases).
• Track record of collaborating with cross-functional stakeholders and shipping iteratively in an agile environment.

Nice-to-haves :

• Exposure to e-commerce or FMCG supply-chain data.
• Knowledge of finance workflows (Reconciliation, AR / AP, FP&A) or RevOps tooling (HubSpot, Salesforce).
• Experience with vision models (Detectron2, YOLO) and edge deployment.
• Contributions to open-source ML projects or published papers / blogs.

What success looks like after 1 year :

• 70 % reduction in manual reporting hours across finance and ops.
• Forecast accuracy > 85 % at SKU level, slashing stock-outs by 30 %.
• AI chatbot resolves 60 % of tickets end-to-end, with CSAT > 4.7 / 5.
• At least two new data-products launched that directly boost topline or margin.

Life at Beco :

• Purpose-driven team obsessed with measurable climate impact.
• Entrepreneurial, accountable, bold culturewhere winning minds precede outside victories.

ref : hirist.tech)