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Senior ML Engineer

Arrise Solutions (India)

Telangana, India (On-site)

Senior ML Engineer

4 Months ago • 4-8 Years • Artificial Intelligence • Undisclosed

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

gitlab

azure

jenkins

ci-cd

grafana

python

docker

pytorch

game-texts

tensorflow

algorithms

github

computer-vision

deep-learning

git

Job Description

This role requires a Senior ML Engineer with 4-8 years of experience to design, develop, and maintain ML pipelines for image, text, audio, and tabular data. Must have strong proficiency in Python, PyTorch/TensorFlow, model management frameworks, and experience with large datasets.

Must have:

Python, PyTorch
Model Management
Large Datasets
ML Pipelines

Good to have:

Azure Machine Learning
Computer Vision
Gitlab CI, Jenkins
Docker

Perks:

Competitive Compensation
Professional Development

About the job

About us:

Arrise Solutions India Pvt. Ltd. (powering PragmaticPlay) is a leading content provider to the iGaming and Betting Industry, offering a multi-product portfolio that is innovative, regulated and mobile-focused. Pragmatic Play strives to create the most engaging and evocative experience for customers globally across a range of products, including slots, live casino, sports betting, virtual sports and bingo.

We are seeking a talented and experienced Senior ML Engineer that will work in a global team of Data Scientists delivering their methods into production in the most efficient way possible. You will also implement monitoring and alert systems. The ideal candidate should have in-depth knowledge and experience of model management and experiment tracking frameworks (MLFlow, ...), data storage and versioning (DVC, LakeFs, ...), Python, Pytorch, Azure Machine Learning, Jenkins, Grafana, Gitlab CI and Docker.

Work Location- Hyderabad/Noida/Remote

Key Responsibilities

Design, develop and maintain ML pipelines, ensuring high reliability and scalability.

Implement scalable machine learning infrastructure, to deploy advanced algorithms based on image, text, audio and tabular data.

Optimize trained AI models (latency, memory, throughput, ...)

Develop CI/CD pipelines and containerize production applications

Automate existing workflows withing Data Science team

Monitor and troubleshoot production ML systems to ensure smooth operation using alert systems.

Collaborate with cross-functional teams across data and engineering to come up with solutions to complex problem statements.

Lead research initiatives to explore new methodologies, tools, and technologies, and contribute to the development of best ML OPs practices within the company.

Required Skills And Qualifications

Required experience of 4-8 Years.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Strong proficiency in Python, with extensive experience in PyTorch or TensorFlow.

Extensive knowledge of key machine learning metrics and optimization techniques.

Strong knowledge of version control systems (Git, data versioning, ...).

Experience in model management and experiment tracking frameworks

Strong knowledge and practical understanding of different ML Ops techniques.

Prior experience in handling very large datasets across different business functions.

Practical experience of deploying and monitoring scalable machine learning models in real-world applications.

Prior experience in CI/CD pipelines, containerization, scheduling and automation.

Prior experience in designing production ready and large-scale AI/ML systems end-to-end in a very fast-paced environment.

Excellent problem-solving, analytical, and communication skills.

Self-motivated individual who can work independently, and stay updated on updated with the latest advancements in AI, deep learning, generative AI and related system design areas.

PREFERRED QUALIFICATIONS:

Extensive experience with Azure ecosystem, in particular Azure Machine Learning.

Experience developing computer vision, text, audio, and/or tabular data models.

Strong proficiency in Gitlab CI, Jenkins, Grafana, Docker.

Excellent software engineering skills in API design and development, and concurrency design skills.

If you are a skilled Machine Learning Engineer who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization.

What We Offer

Competitive compensation depending on experience

Opportunities for professional and personal development

Opportunities to progress within a dynamic team.

Chance to work with close and collaborative colleagues

Comprehensive health coverage

OUR VALUES

PERSISTENCE We never give up and are determined to be the best at what we do.

RESPECT We value and respect our clients, their players, and our team members; promoting professionalism, integrity and fairness without compromise.

OWNERSHIP We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality.

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About The Company

Arrise Solutions (India) Pvt. Ltd.

16 Active Jobs

We are the international services group that powers Pragmatic Play. PragmaticPlay is a global leader as a multi-product content provider to the gaming and entertainment industry. Our passion for premium entertainment is unrivalled. We strive to create the most engaging, evocative experiences for all our customers across a range of gaming products. Arrise India (Formerly known as PragmaticPlay India Pvt Ltd) is a subsidiary of Arrise Solutions Ltd., Malta. Arrise India provides software development services to its foreign entities.

Our vision is to excel as a multi-product content related service provider as a technology company to the gaming and entertainment industry. We strive to create value for our clients by providing the highest quality technology and services and continually seek to improve them and to ensure consistent delivery and superior performance. Moreover, we are engaged to promote a team-oriented culture that places autonomy and trust in our employees, also to build mutually sustainable relationships defined by professionalism.