Posted on Leave a comment

Machine Learning Engineer | Mumbai / PixelBin – Engineering / Full-Time

Machine Learning Engineer | Mumbai / PixelBin – Engineering / Full-Time

Fynd is India’s largest omni channel platform and multi-platform tech company with expertise in retail tech and products in AI, ML, big data ops, gaming+crypto, image editing, and learning space.
Founded in 2012 by 3 IIT Bombay alumni: Farooq Adam, Harsh Shah and Sreeraman MG.
We are headquartered in Mumbai and are a company of more than 750 people. Fynd has 1000+ brands under management, more than 10k stores, and servicing 23k + pin codes.
As a Machine Learning Engineer, the purpose of this role is to work with our machine learning research team to develop, implement and deploy machine learning and deep learning models. Our core area of work is in the field of computer vision so you will require some familiarity with convolutional neural networks.
Please find our research page :

The Roles Key Objectives Include
  • Work on the deployment of machine learning and deep learning models.
  • Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ….etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning.
  • Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling.
  • Maintain and further enhance the internal model feature store and optimize the feature engineering script.
  • Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.
  • Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models.
  • Responsible for complete and accurate documentation of all development around machine learning engineering.
You Will Need To Have
  • 2+ years of experience implementing and deploying machine learning and deep learning frameworks through distributions cluster and application programming in cloud platforms including AWS and GCP.
  • Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas etc.
  • Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines
  • Deep experience across systems integration, information management, data management and architecture, and business analytics.
  • Language: Python, Java, Scala, Unix bash script, REST API process.
What Is In It For You
  • An attractive remuneration package.
  • Opportunity to collaborate with some of the brightest and best minds in India. Training and Education – We pride ourselves in helping you realize your potential and give you the opportunity to be innovative.
  • An exciting career – As our business grows, so do the opportunities for our team members.

Posted on

Documentation Lead| Lionbridge | Mumbai, Maharashtra, India

Documentation Lead| Lionbridge | Mumbai, Maharashtra, India

Objective of the Role

  • Obtain a thorough understanding of products and services to translate complex product information into simple, useful, and engaging content that meets organizational standards


  • Documentation planning, content structuring, designing.
  • Liaison with subject matter experts to develop, organize, and write or update User manuals, technical specifications, and process documentation.
  • Work closely with various departments to understand project requirements.
  • Research, create, and maintain information architecture templates.
  • Develop content in various media formats.

Skills and Qualifications

  • Bachelor’s degree
  • 6-7 years’ industry experience as an effective Sr. technical writer
  • Superior written and verbal communication skills
  • Experience using industry-standard authoring tools to create documentation
  • Experience working with industry-standard style guides
  • Excellent understanding of the systems development life cycle (SDLC)
  • Proven ability to quickly learn and understand complex topics
  • Experience working with engineers, developers, product managers, and QA teams
  • Proven ability to handle multiple projects simultaneously
  • Knowledge/awareness of networking concepts, cloud computing/environment is preferable.

Click Here to Apply