ML Developers

Dream. Dare. Do – that is Suyati’s work principle in a nutshell.


ML Developers




3-5 Years



Minimal qualifications include:

  • A bachelor’s degree in Computer Science or equivalent
  • 5+ years of complex software engineering experience in progressively challenging roles including proven skill sets in server and client side programming and best practices
  • (Optional) Certifications in Machine Learning, Data Analytics, Big Data, Python, R

Technical Skills:-

    • 3+ years of experience of working in ML domain.
    • Sound knowledge of machine learning concepts viz. Supervised, Unsupervised ML, train/test data set
    • Good knowledge and hands on experience of design and development of ML workflow
    • Experience solving analytical problems using statistical algorithms like Multiple Regression, Clustering techniques, Logistic Regression, Decision Trees, Random Forest
    • Knowledge of probability (conditional probability, Bayes rule, likelihood, independence, etc.) and techniques derived from it (Bayes Nets, Markov Decision Processes, Hidden Markov Models, etc.)
    • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable.
    • Hands on experience in developing and maintaining high-volume ETL processes is a plus

Soft Skills:-

  • Strong verbal, written, and interpersonal communication skills with both technical and non-technical audiences.
  • Insatiably curious, and constantly learning and experimenting with new technologies
  • Applicant should be comfortable working independently, and in a team environment, as required
  • Strong analytical and problem solving skills
  • Ability to prioritize and manage work to critical project timelines in a fast-paced environment

Job Description:

The Mekanate platform helps enterprises accelerate their business’ growth by helping to build a pragmatic, coherent and, most importantly, data-driven Digital Transformation strategy. The platform leverages Machine learning and AI Driven analytics engine to recommend actionable insights from the Data DNA of the enterprise. The platform exposes services, APIs, SDKs and tools for enterprises to quickly enable integration to their existing environment. The platform also provides robust tools to implement, upgrade, migrate and integrate the enterprise applications.

  • Perform development and support of existing and new products.
  • Understand product vision and business needs to develop product requirements
  • Agile working experience and adhere to process
  • Strong sense of ownership and accountability
  • Excellent interpersonal, written and oral communication skills.
  • Ability to collaborate effectively with interdisciplinary teams, management and customers
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Data mining using state-of-the-art methods
  • Work effectively in a fast paced and dynamic environment
  • Communicate effectively with all stakeholders
  • Hands on contribution

Motivated self-starter with a high capacity for rapid learning and meticulous attention to detail.

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