Machine Learning (ML)
Data Sciencecutting-edge technology to problems that have never been solved before, working with architecture and
product teams to collaboratively visualize, design and create machine learning models for M3LD- the
world’s first privacy platform that helps users get control of their data and enterprises to establish trustbased relationships.
KEY ACCOUNTABILITIES & ACTIVITIES
AI-ML Software
Engineer
Accountabilities
& Activities
▪ Study and transform data science prototypes
▪ Design machine learning systems
▪ Research and implement appropriate ML algorithms and tools
▪ Develop machine learning applications according to requirements
▪ Select appropriate datasets and data representation methods
▪ Run machine learning tests and experiments
▪ Perform statistical analysis and fine-tuning using test results
▪ Train and retrain systems when necessary
▪ Extend existing ML libraries and frameworks
▪ Keep abreast of developments in the field
BACKGROUND, SKILLS & QUALIFICATIONS
Knowledge,
Skills and
Experience
▪ Ability and passion to deliver extraordinary results with minimal direction
▪ Collaborating with teams to dissect complex problems and design solutions tailored to M3LD
needs
▪ Expertise in big data processing, data pipeline, machine learning, and AI processing methods.
▪ Proficiency in programming languages - e.g. Python, Java, C++, Ruby.
▪ Track-record of shipping and maintaining code in production with a commitment to high quality,
well-tested code, and automation
▪ Experience with object-oriented design, multi-threading, and synchronisation
▪ Experience with ML frameworks and libraries (Spark, tensor, OpenAI)
▪ Ability to optimize runtime with performant data structures, leveraging distributed systems and/or
cloud platforms
▪ Excellent written skills and ability to document system design documentations.
▪ Experience working in “agile” development environment and collaboration tools like Jira,
Confluence, etc.
▪ Ability to communicate effectively with cross project stakeholders both verbally and in writing
▪ Ability to collaborate with distributed teams across time zones
Qualifications ▪ 5+ years of relevant work experience in enterprise, mobile and complex solution development,
and software engineering
▪ Strong computer science fundamentals required
▪ Experience with deep learning frameworks.
▪ Strong experience in programming and statistics.
▪ Experience working with DevOps practices, Git version control, and agile development
approaches.
▪ Experience developing for major cloud platforms, including Azure, AWS, Google Cloud, and
Oracle Cloud Infrastructure is preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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