Logo for PradeepIT Consulting Services Pvt Ltd

Sr. ML Engineer

Roles & Responsibilities

  • 4-7 years of experience in Data Science with at least 3+ years as ML Engineer
  • 5+ years hands-on Python programming (object-oriented)
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
  • Experience with Azure cloud services (Cosmos DB, Streaming Analytics, IoT messaging, Azure Functions, compute environments) and building multi-step ML workflows using Docker and Kubernetes

Requirements:

  • Lead end-to-end ML lifecycle from data acquisition and cleaning to model building and deployment
  • Understand business objectives and develop models with metrics to track progress
  • Verify data quality and perform data cleaning; build and deploy ML/DL models (predictive algorithms, time series, NLP, computer vision)
  • Define validation strategies, perform feature engineering, train models, tune hyperparameters, evaluate errors and deploy to production

Job description

Job Description

Total Exp in years - 4 7

Responsibilities:

  • Work on end-to-end ML Lifecycle from acquiring data, data cleaning, model building and deployment of models
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Verifying data quality, and/or ensuring it via data cleaning
  • Experience in building Machine Learning and Deep Learning models either with predictive algorithms, Timeseries, NLP or Computer Vision and deployment of the same
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training and data augmentation pipelines
  • Defining validation strategies, defining preprocessing or feature engineering to be done on a given dataset
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Design/architect state-of-the-art data pipelines - on-prem, cloud and hybrid.
  • Automate and streamline existing processes, procedures, and toolsets
  • Innovate new ways of managing, transforming and validating data
  • Ensure code paths are unit tested, defect free and integration tested
  • Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
  • Design and implement cloud solutions, build MLOps on Azure
  • Work with workflow orchestration tools like Kubeflow, Airflow, Argo or similar tools
  • Data science models testing, validation and tests automation.
  • Communicate with a team of data scientists, data engineers and architect, document the processes.

Mandatory Skills:

  • 4 7 years of experience in Data Science and 3+ years as ML Engineer
  • Rich hands-on experience of 5+ years in writing object-oriented code using python
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics and algorithms
  • Experience working with machine learning frameworks like Tensorflow, Caffe, etc.
  • Understanding of Data Structures, Data Systems and software architecture
  • Experience in using frameworks for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
  • Experience with Azure cloud services, Cosmos DB, Streaming Analytics, IoT messaging capacity, Azure functions, Azure compute environments, etc.

Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc)

ML Ops Engineer Related jobs

Other jobs at PradeepIT Consulting Services Pvt Ltd

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.