Machine Learning Engineer

at CloudMoyo

DP
Posted by Sarabjeet Singh
icon
Pune
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10 - 16 yrs
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₹10L - ₹20L / yr
icon
Full time
Skills
Machine Learning (ML)
Python
Artificial Intelligence (AI)
Deep Learning
Natural Language Processing (NLP)
Neo4J
Data Visualization
Data Science

Job Description:

Roles & Responsibilities:

· You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production.

· You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients.

· You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs.


Desired Skill Set:

· Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries.

· Hands-on skills and industry experience in one or more of the following areas is necessary:

1)      Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)

2)      Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods)

3)      Natural Language Processing

4)      Graph Databases (Neo4j, Apache Giraph)

5)      Azure Bot Service

6)      Azure ML Studio / Azure Cognitive Services

7)      Log Analytics with NLP/ML/DL

· Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus.

· Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer.

· Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.

About CloudMoyo

Microsoft Azure Solutions | Cloud Analytics | Business Intelligence & Data Warehousing | Big Data & Advanced Analytics | Rail & Transportation Solutions
Founded
2015
Type
Products & Services
Size
100-1000 employees
Stage
Profitable
View full company details
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This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.


You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.



What you will achieve:

  • Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

  • Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

  • Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

  • Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

  • Partner with the executive team and other business leaders to deliver cross-functional research work and models






Required Skills:


  • Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

  • Knowledge of deep learning & NLP

  • Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

  • Experience with GPU computing is a plus.

  • Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

  • Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

  • Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

  • Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling


Qualifications

  • Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

  • Expert-level experience with machine learning that can be applied to business problems

  • Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

  • Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

  • Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

  • 5+ years of industry experience in data science and machine learning, preferably at a software product company

  • 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

  • 3+ years of experience partnering with executive staff on data topics

Job posted by
Manas Ranjan Kar
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