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Engaged Employer

Zetwerk

Compare

4.1

based on 782 Reviews

111 Zetwerk Jobs

Lead ML Engineer (DS+ PySpark+ Gen AI)

Zetwerk

4.1

based on 782 Reviews

8-12 years

Hyderabad / Secunderabad, Chennai, Bangalore / Bengaluru

1 vacancy

Lead ML Engineer (DS+ PySpark+ Gen AI)

Zetwerk

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Architecting SQL Automation Testing Linux Administration

+ 3 more

Job Description

Chennai, Bangalore, Hyderabad

JOB DESCRIPTION

Senior MLE / Architect MLE (Platform)

Locations: Chennai | Hyderabad | Bangalore (Hybrid)

Who we are :

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About The Role

Lead Position involved in setting the direction and goals for the ML Engineering team, in terms of impact, ML system design, and ML Innovation

Drive the development and adoption of ML platform accelerators solutions in areas such as MLOPS Automation, Model Monitoring and Observability, LLM Ops and LLM Observability.

Lead cross-functional technical teams spanning deep learning, machine learning, distributed systems, program management, app engineering, and product teams. Oversee all aspects of the design, development, and delivery of machine learning-enabled end-to-end pipelines and solutions

Design and architect services and pipelines to support the full machine learning lifecycle from Development to Deployment. Architect solutions for High Availability, Low Latency, and High Throughput.

Improve system reliability-Troubleshoot and investigate any identified issues, Own complex online/ production performance issues, leveraging in-depth knowledge of how the ML system s work

Identify possible issues and performance leakages in the system and perform optimization

Build and perfect test cases to introduce highly reliable and scalable application platforms

Leading a team from a technical perspective to develop ML best practices and influence engineering culture Writing high-performance, reliable, and maintainable code.

Support the delivery of the platform solution by providing technical oversight and guidance to the respective Project Teams and ensure High customer satisfaction.

Lead, mentor, and manage a team of ML engineers, fostering a collaborative and high-performance environment.

Stay informed on emerging technologies and trends, explore cutting-edge deep learning models, prototype innovative ideas, and conduct both offline and online experiments.

What do we expect

Bachelor s or master s degree in Computer Science Engineering or related fields

6+ Experience in Machine Learning ,Statistics, Data Mining, hypothesis validation and design of Algorithms with Strong Exposure to modern ML stack (Scikit Learn, NLP, SparkML, Pytorch, Tensorflow Etc.)

3+ years of quality experience in Spark programming and Delta Architecture, distributed data processing. Exposure to Databricks or any managed Spark Runtime on Cloud (Dataproc / EMR) .

3+ years of Experience managing production deployments in any major cloud platform - Azure/Google/AWS or on Databricks is required.

3+ years of core experience as a Lead engineer in Machine learning enabled product platform in a Backend Role.

Strong experience server-side/back-end full cycle product development in a production environment in Python

Excellent first principles understanding of Python programming and strong understanding of Data Structures and Algorithms

Strong understanding of MLOPS related concepts, Model deployment as Batch, Real time on modern cloud stack

Proficient with SQL, Spark SQL and Performance Optimization

Hands on Working experience with Multiple Cloud Database technologies like Redshift, Delta, Cosmos DB, SQL Server etc.

Understanding of Devops and Deployment processes, and strong understanding of CI/CD, Technologies, and Observability

Hands on experience in building scalable Data, ML Pipelines, Event driven Servies, and in design and deployment of ML Algorithms in Production

Comfortable with Fast Paced Development Experience Zero to One build skills

Excellent skills in terms of authoring technical specification documentation and structuring release cycles.

Good understanding of Linux Fundamentals and aspects of writing Performant Code.

Understanding of the threading in Python, and multi-process architecture, Ray etc.

Basic Experience in working with Event driven architectures, Streaming data, and technologies such as Apache Kafka, Apache Nifi etc

Leveraging Agile and Lean software development methodologies to drive reliability upstream into the product development life cycle

Excellent knowledge of version control (GIT), Containers etc.

Strong intuition for product development and a keen understanding of customer requirements

Proven experience managing a live product / platform and collaborating with product managers or business stakeholders to achieve business goals

Enthusiastic about creating high-performing teams and effective organizational structures

High integrity, and a great hunger to learn and develop as a software engineer

You are important to us, let s stay connected!

Every individual comes with a different set of skills and qualities so even if you don t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self family), virtual wellness platform, and knowledge communities.

Employment Type: Full Time, Permanent

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What people at Zetwerk are saying

What Zetwerk employees are saying about work life

based on 782 employees

72%

51%

35%

95%

Flexible timing

Monday to Saturday

No travel

Day Shift

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