
Location : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills

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Job Title : BMS Commissioning Engineer
Department : BA (Building Automation)
Location : Mumbai/Pune/Delhi/NCR
Experience : Minimum 3 years of experience in BMS Engineering, Testing & Commissioning
Desired Qualification: Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university
Skills Required : BMS, SCADA, DDC, PLC Engineering, Testing & Commissioning
Salary : As per Company Norms
Job Description
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Apply only if ready to work in 3rd Party Payroll
It a permanent Job opportunity
Company background:
Myfi is a dynamic and innovative wealthtech company committed to empower people to take control of their financial outcomes by providing access to intelligent and unbiased financial advice.
MyFi is an AI powered financial assistant that serves to break down the complexities around financial planning so that users can make better decisions. Through a conversational chatbot experience, MyFi makes the start of your financial journey seamless.
We are passionate about pushing the boundaries of technology and delivering exceptional solutions to our users. Our goal is to provide better wealth outcomes for every individual through a conversational AI powered Co-pilot.
Our Culture:
· We’re a fast paced startup looking impact lives through technology and innovation
·Ownership and self-motivation is key, we don’t believe in micro managing
·We’re outcome and impact driven, something isn’t done until a user benefits from it
Our Values: Go With You GUT
· Grow At the Edge: We are driven by personal growth. We get out of our comfort zones and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
·Understanding through Listening and Speaking the Truth: We value transparency. We communicate with radical candour, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
· I Win for Team Win: We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.
Key responsibilities:
· Work closely with the design and product teams to help craft conversational experiences for our users
· Ability to work independently to deliver features that the team design
· You need to own outcomes without someone watching over you
· Understand the data we have and identify how we could leverage it to create more personalised experiences for our users
· Fine tune models with data specific to our use case
· Use different RAG approaches to augment data that the LLM already ha
Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes)
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· Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field
· 10+ years of overall work experience
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· 5-6 years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch
· Experience using RAG base approaches
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· Degree in UI/UX design experience for digital products or services.
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Two or more published websites in E-CommerceJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results









