Job Description

Job Title: Machine Learning Engineer

Are you a visionary?seeking?to redefine the boundaries of technology?

Finmee Technologies Pvt Ltd (NTWIST)?is actively?seeking?for?skilled Machine Learning Engineers to join our team. As a Machine Learning Engineer, you will play a crucial role in advancing our machine learning capabilities and developing innovative solutions. You will work on?cutting-edge?projects, collaborating with a multidisciplinary team to solve complex problems and drive data-driven decision-making.

About Company :

Finmee Technologies (NTWIST) is a transformative force in the business world, empowering enterprises to harness the power of machine learning and Artificial Intelligence for unparalleled growth and efficiency. Through our advanced algorithms and AI tools, we enable continuous process plants to optimize productivity, minimize costs, and make significant strides in sustainability. Our solutions drive reductions in waste, greenhouse gas emissions, energy consumption, and water usage, empowering businesses to?operate?more responsibly and profitably.

Visit us?at?www.ntwist.com

?What?you'll?be doing

?As an ML Engineer, you will play a pivotal role in the development, deployment, and support of machine learning solutions. Your?objective?will be to?leverage?your?expertise?in machine learning algorithms and technologies to drive the successful implementation of ML projects. Collaborating with cross-functional teams, you will contribute to the development of?cutting-edge?ML models?and? provide?support for?ensure?their seamless integration into production systems. With a focus on delivering reliable and scalable solutions, you will support the maintenance and optimization of ML systems to meet business?objectives.

Responsibilities:

Production ready code:

Work with the solution architect to verify the feasibility of solution Verify Proof concept with available sample data Create necessary code in python, necessary backend code needed for delivery Create automated scripts for manual tasks related to product maintenance and support Software Development: Understanding scope of the product Work with solution architect to?identify?necessary modules and tasks to complete the development Work with Product Manager to?identify?dependencies, provide estimates and set milestones for development Be part of the creation of requirement documents and solution design proper software development practices Create necessary documentation Regularly update the project management tool on progress of the work Follow agile SDLC and have quick delivery milestones Clear necessary dependencies with team members Follow team norms and be in constant communication with team members Deployment Follow CI/CD rules set by?Ntwist Work with delivery manager to deploy project at client location Work with client to clear dependencies during deployment Create necessary documentation for deployment Support Should be available for providing support for an issue raised by clients. Create necessary scripts to provide regular reports to clients on product health. Help client/client's?with necessary manuals and conduct workshops to educate the client.
? Desired Profile:

Work experience: 2+ Years.
Technical Skills:

Python -?numpy,?Scipy,?MatplotLib,?Tensorflow, Pandas,?openCV Data - ETL, Pre-processing, Imputation, Correlation, Mutual Information, Clustering, Visualization Applications - Modeling (parametric/non-parametric), Automatic hyper parameter tuning Version Control - Git Math - Probability and Statistics, Maximum Likelihood Estimation, Expectation Maximization, Gaussian Process Regression Mongo database?connectivity
Industry:?Software

Job Location: Hyderabad?( Work from Office)

Job Type: Full-time

Pay: ₹300,000.00 - ₹700,000.00 per year

Ability to commute/relocate:

Rangareddy, Telangana: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):

Can you summarize your relevant work experience and skills that you have to play this role. Current CTC Notice Period Expected CTC:
Work Location: In person