Machine Learning Engineer

Pune, IN

Job Description / Skills Required

At Aera Technology, we are helping the largest enterprises in the world transform how they make and execute decisions with Decision Intelligence. Aera understands how your business works, makes real-time recommendations, predicts outcomes, and takes action autonomously. Our platform delivers the business agility required to respond to today’s ever-changing environment.
Aera Technology is looking for a Machine Learning Engineer to work from our Pune office.


    • 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
    • Building core machine learning infrastructure, which includes distributed systems, abstractions, development tools, model hosting /serving/ inference pipelines

About You

    • B.E./B.Tech 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 with Python
    • Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
    • Experience in building Machine Learning models and experience using libraries such as sci-kit-learn, pandas, TensorFlow, Keras, etc. 
    • Experience in technologies like Spark, Hadoop, Kafka
    • Take end-to-end ownership of Machine Learning systems — from data pipelines and training to the real-time prediction engine
    • Experience in setting up Data and ML Pipelines and ML engineering tools like MLFlow, Data Version Control
    • Experience in building containerized applications/microservices using Docker and Kubernetes
    • Experience in Agile Methodology, CI/CD, Jenkins, GIT & Jira
    • Should possess strong problem-solving skills
    • Excellent verbal and written communication skills
    • You take complete ownership of your work and are self-driven

Our Environment

    • AWS hosted infrastructure
    • Linux
    • Spark
    • Python

Perks and Benefits

      • Stock Options:  We believe every Aera team member should have a stake in our future 
      • Group Medical Insurance: We offer coverage to each and every Aeranaut, with family coverage options available
      • Term Insurance: for all employees: 2x annual compensation
      • Accidental Insurance: for all employees
      • Learning and Development: You’ll have access to professional development content through Udemy, our online learning platform. Udemy offers thousands of courses to help you learn new skills – whether for your professional development or your personal interests
      • Employee Referral Program:  Earn cash when your referrals get hired!
      • Events and Extras:  We work hard and get things done, but we also value the importance of having fun: office outings; birthday celebrations; holiday parties; weekly in-office lunches, and more
      • Paid Time Off:  30-days paid time off. In addition, we have 10 paid holidays each year
      • Snacks: When you’re working from the office, you’ll have access to our fully stocked kitchen with a diverse supply of snacks and beverages
Note: We’re continuously re-evaluating these to offer the best for our Aeranauts, so these are subject to change for the better
At Aera, we're on a mission to solve the biggest, most intractable challenges in the world of enterprise software. We envision the rise of the Self-Driving Enterprise: a more autonomously functioning business with a central operating system that connects and orchestrates business operations. Our Cognitive Operating System is increasingly used by the world's largest companies to fundamentally transform their organizations and how work is done.
If you share our passion for building the next generation of enterprise software, and deploying it for the most sophisticated customers in the world, you’ve met your match. Headquartered in Mountain View, California, we're growing fast, with teams in Mountain View and San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune, and Bangalore (India), Sydney (Australia) and Singapore.  So join us, and let’s build the future of work together!