AI/ML Engineer


Job Description :

We are looking for AI/ML Engineer with solid backgrounds in Machine learning and Deep Learning. You will be expected to work as an individual contributor with the guidance from domain experts and should have innovative thinking ability. The engineer should have experience working on large scale Machine learning/deep learning projects with large scale of data. He/she should have a sound understanding of feature engineering, model selection, training, validation and test metrics.

About Us:

Markovate is a digital product development company building digital products on AI, Blockchain, Mobile, and Web3 digital. We work with tech startups as their technical partner and help them with their digital transformation.


  • Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems,
  • Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing,
  • Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset,
  • Work closely with data scientists and analysts to create and deploy new product features,
  • Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
  • Write efficient and well-organized software to ship products in an iterative, continual-release environment,
  • Contribute to and promote good software engineering practices across the team,
  • Knowledge sharing with the team to adopt best practices,
  • Actively contribute to and re-use community best practices.


  • Should have 4+ years of experience in AI/ ML/ NLP.
  • University or advanced degree in engineering, computer science, mathematics, or a related field.
  • You must have experience working with OCR technology, which involves extracting text and information from images or scanned documents.
  • Should have expertise in Python, Problem Solving, MySQL, Machine Learning, Data Science, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Plotly, Matplotlib, Seaborn.
  • Large Language Models (LLMs), Prompt Engineering, MongoDB, Flask, FastAPI, Data Preprocessing, Modeling, Analysis, Azure Cognitive Services, Google Cloud Platform.
  • You are familiar with MLOps practices, which involve deploying, monitoring, and managing machine learning models in production.
  • You are skilled in deploying machine learning models into production environments. This includes creating APIs or microservices to expose the models, containerization (e.g., Docker), and cloud deployment (e.g., AWS, Azure, GCP).
  • You have worked with language models, which are models trained to generate or understand human language. This includes popular models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).
  • You are experienced in building data pipelines, which involve ingesting, cleaning, preprocessing, and transforming data for machine learning purposes. This can include using tools like Apache Airflow, Luigi, or custom-built pipelines.
  • You are proficient in creating visualisations of data and model outputs to aid in understanding and decision-making. This includes using libraries like Matplotlib, Seaborn, or interactive visualisation tools like Tableau or Plotly.
  • You have strong scripting skills in languages like Python or R, which are commonly used in AI/ML development. In addition to these skills, it’s worth mentioning that you may have knowledge in related areas such as computer vision, deep learning frameworks (e.g., TensorFlow, PyTorch), data engineering, cloud computing, and distributed computing.
  • Your experience should also encompass data cleaning, feature selection, performance evaluation, and collaboration with cross-functional teams (e.g., data scientists, data engineers, software developers).

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