Demo

Lead Machine Learning Engineer

Aera Technology
Aera Technology Salary
San Francisco, CA Full Time
POSTED ON 1/15/2025
AVAILABLE BEFORE 3/28/2025

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real time. Aera helps enterprises around the world transform decision making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

Responsibilities

  • You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems that power the Aera platform.
  • You will be working on new and challenging engineering problems to operationalize data science.
  • You will be working in a highly collaborative environment with other experts in data science, engineering, and DevOps teams.
  • Design and implement state-of-the-art machine learning approaches.
  • Build core machine learning infrastructure, which includes distributed systems, development tools, model serving, and inference pipelines.

Nice to Have

  • B.E. / B.Tech M.E. / M.Tech / M.S in Computer Science / Computer Engineering.
  • 3-8 years of experience in software engineering & architecture.
  • At least 2 years of experience in designing and deploying machine learning systems.
  • Strong skills in programming languages like C , Go, Java, Python.
  • Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Dask, Ray.
  • Experience in building machine learning models and using libraries such as Scikit-learn, Pandas, PyTorch, TensorFlow, Keras, etc.
  • Take end-to-end ownership of developing machine learning systems from data pipelines, training, hosting, inference pipelines, etc.
  • Experience in building containerized applications / microservices using Docker and Kubernetes.
  • Experience in Agile methodology, GITOps & Jira.
  • Strong problem-solving skills.
  • Excellent verbal and written communication skills.
  • Self-driven with complete ownership of your work.
  • Our Environment

  • AWS / Azure / GCP
  • Hosted infrastructure Kubernetes
  • Dask / Ray / Python
  • If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this!

    Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

    Benefits Summary

    At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You’ll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment, to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you’re working from the office, you’ll also have access to a fully-stocked kitchen with a selection of snacks and beverages.

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