We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

What are we looking for?

We are looking for an expert in machine learning to help us extract maximum value from our data. You will be leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Role & Responsibilities:

Identify valuable data sources and automate collection processes
Study and transform data science prototypes
Research and Implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Extend existing ML libraries and frameworks
Cross-validate models to ensure their generalizability
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Guide and mentor the respective teams

Desired Skills and Experience:

Proven experience as a Machine Learning Engineer or similar role
Demonstrable history of devising and overseeing data-centered projects
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Experience with cloud platforms like AWS/Azure/GCP
Knowledge of server configurations and maintenance.
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills

Must have:

Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
Strong OOPs concepts (python preferable)
Hands on experience with Flask or Django
Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

Persona of the kind of people who would be a culture fit:

You are curious and aware of the latest tech trends
You are self-driven
You get a kick out of leading a solution towards its completion.
You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
You are fun to hang out with!

Why us?

What are we looking for?

Role & Responsibilities:

Identify valuable data sources and automate collection processes
Study and transform data science prototypes
Research and Implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Extend existing ML libraries and frameworks
Cross-validate models to ensure their generalizability
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Guide and mentor the respective teams

Desired Skills and Experience:

Proven experience as a Machine Learning Engineer or similar role
Demonstrable history of devising and overseeing data-centered projects
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Experience with cloud platforms like AWS/Azure/GCP
Knowledge of server configurations and maintenance.
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills

Must have:

Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
Strong OOPs concepts (python preferable)
Hands on experience with Flask or Django
Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

Persona of the kind of people who would be a culture fit:

You are curious and aware of the latest tech trends
You are self-driven
You get a kick out of leading a solution towards its completion.
You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
You are fun to hang out with!

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Wow Labz

Founded :

2011

Type :

Services

Size :

20-100

Stage :

Bootstrapped

About

An award-winning turnkey product development agency committed to building products that wow the world. We work with you in every aspect to help your business.

Our Ambition:
We aspire to build products that touch the lives of a billion people worldwide.

Our Journey:
Long story short... Bunch of motivated guys joined together to make a difference and build something. We worked tirelessly to create a kick@$$ team to provide customer delight to our exhilarating customers. Day in and day out, there were late nights, lots of coding, lots of partying – work hard, play harder was the motto. After 10 years, it’s still the same motivation and passion that drives the team.

Our Team:
One big crazy family... Fixers, doers, beer lovers, food lovers and from all facets of life all joined together for a common goal. We aren’t perfect but we are a passionate bunch of human beings that work hard and party harder. Getting the best out of each other is encouraged and striving to be the finest versions of ourselves.

Our Clients:
An extended family... We don’t build accounts, we build relationships. Customer delight is extremely important to us and we work with our clients closely in each aspect of the product. Like partners in spirit. Their success is our success and we take pride in delivering great work that puts a smile on their face. Happy clients = happy us.

Our Contribution:
Express gratitude... Members of our Wow team have founded some amazing product, startup and design communities. We volunteer, speak at events, drive workshops, mentor startup founders, and contribute to open source. It gives us that warm mushy feeling that we all love.

Our Culture:
It's in our DNA to strive to go the extra mile.

Codes to live by:
Excellence - We strive to be the best at whatever we do
Measurement - We never stop learning and growing
Surprise - We do wow things that people don’t expect
Critique - We are open to giving and receiving feedback
Bias for Action - We do instead of wait, if we mess up, we learn
Speed - We consistently optimise for efficiency
Party - We let the good times roll
Love - We put our heart and soul into our work and our people

An award-winning turnkey product development agency committed to building products that wow the world. We work with you in every aspect to help your business.

Renu Yadav

Connect

Avish Hakani

Connect

Company social profiles

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● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.

Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.