Ahoy
Senior Machine Learning Engineer
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Cloud • Enterprise Web • Hardware • Information Technology • Internet of Things • Robotics • Semiconductor
Design, develop, evaluate, and deploy machine learning models; analyze large datasets; collaborate with cross-functional teams to integrate ML solutions; mentor junior staff; research and apply state-of-the-art techniques including LLMs and NLP.
Top Skills:
Ai Agent DesignEntity RecognitionInformation ExtractionLarge Language ModelsMatplotlibNlpNumpyPandasPythonUnstructured Search EnginesVectorized Databases
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead strategic sourcing for Marketing Services across assigned business units: develop and execute sourcing strategies, perform market and spend analytics, run bid events, support negotiations and contracts, manage supplier relationships, implement regional/global sourcing initiatives, and ensure compliance while delivering savings and cash-flow improvements.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead strategic sourcing and supplier relationship management for indirect and CAPEX categories. Deliver value via innovation, sustainability, risk management, quality, service, cash and productivity programs. Develop and deploy sourcing strategies, manage CAPEX portfolios across sites/regions, lead a small procurement team, influence senior stakeholders, and ensure compliance with policies while driving cost-to-serve and should-cost/TCO analyses.
We’re building something meaningful — not just another dashboard or data toy. This role is for someone who enjoys working with real human behavior data, where every model you ship has the power to improve how people move, live, and take care of themselves.
If you love solving puzzles inside messy, real-world datasets, you’ll feel at home here.
What You’ll Work On- Build, train, and refine machine learning and deep learning models using time-series, sensor, and behavioral data.
- Integrate data from wearables, fitness tracking platforms, and device APIs to create a clear story from movement, patterns, and activity signals.
- Develop and maintain data pipelines that support both batch and real-time analytics.
- Own model deployment in production environments — your models won’t live in notebooks; they’ll live in the world.
- Work closely with engineering teams to integrate ML models into mobile and web apps.
- Support logic for fraud, spoofing, and anomaly detection, ensuring data reflects real human activity.
- Make complex outputs easy to understand — not just for engineers, but for product and business users too.
RequirementsYou’ll Thrive Here If You Have
- 5+ years of hands-on experience as an ML Engineer or Applied Scientist.
- Strong foundation in machine learning, deep learning, and time-series analysis.
- Experience working with wearables, IoT data, or sensor-based datasets.
- Fluency in Python, PyTorch or TensorFlow, and good software engineering habits.
- Experience building and shipping production ML systems using modern MLOps practices.
- Comfort with Node.js, APIs, and backend integration workflows.
- Understanding of data privacy, cloud ML infrastructure (AWS, GCP, or Azure), and edge inference.
- A solid grasp of feature engineering, statistical reasoning, and evaluating what “good” looks like in a model.
- You enjoy going deep and figuring things out.
- You care about clarity — in your code, in your thinking, in how you explain your work.
- You see data not just as numbers but as stories about real people.
- You value responsibility. When something is yours, you own it end-to-end.
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
