Senior Associate _ ML Ops/Data Ops_ Emerging Technologies

Job highlights

• . BE/ . B.tech
• Degrees / Field of Study required Bachelor of Engineering .
• Implementation of Lang . Chains for achieving requirement specific usecases .
• Preferred skill sets
• Required Skills
• Experience with IDE / notebook software ( . Jupyter .

A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritize emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organizations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.

• Creation and implementation of enterprise grade architectures for deployments of Onpremises ML/LLM models for scalability and efficiency

• Working with SEO team for SEO pages generation using LLMs with reduction in AI scores and humanizing the AI generated content

• Finetuning LLM models and implementation of RAGs

• Interacting with multiple teams and understanding the new requirements, doing PoC on newly proposed requirements proposing various solutions for optimization, efficiency and cost saving

• Creation of Web Pages (Blogs) using regularly updated LLMs, with using NLP techniques for reduction of AI scores and improvement of SEO rankings

• Implementation of Quality assurance checks for the content being generated from LLMs

• Implementation of Lang Chains for achieving requirement specific usecases

• Setting up automated ML pipelines on Azure ML Studio for scheduled training of ML models, with CI/CD setups for automating deployments of trained ML model pickle/ joblib dumps on corresponding infra like K8s, Linux Servers using tools like Jenkins and version control tools like Git

• Experience on working with Frontend teams for image optimizations for improving the time and efficiency for rendering the web pages

• Writing shell scripting for monitoring the efficiency of the generated outputs of LLM models and providing corresponding estimates of required resources for scalability requirements

Mandatory skill sets

Python and opensource technologies ( PySpark , PyTorch , TensorFlow, LangChain , Transformers) Azure data services like (Azure Synapse Analytics, Databricks, SQL Databases, Azure Machine Learning, Azure Cognitive Services etc.)

Preferred skill sets

• Proficiency in Python and Azure, AWS DevOps & Data services.

• Proficiency in AI/ML model operations, and experience finetuning models and RAG implementation

• Experience in creation and implementation of Enterprise grade architectures for implementation and usage of Azure AI Services ensuring security, efficiency and scalability

• Experience in building components for data scientists and assisting them in all stages of Model development and deployment.

• Experience in Azure ML Studio for setting up pipelines for Model training and end point creation

• Experience with IDE/notebook software ( Jupyter Studio, VSCode , PyCharm, etc )

• Experience in data extraction and analysis using Google Analytics, Azure Synapse and Big Query

• Proficiency in Looker Studio for dynamic dashboards creation and funnel drops analysis

• Writing Dockerfile , Shell Scripting and Kubernetes Manifests for deployment of customized applications on Servers and Kubernetes clusters

Years of experience required

3 to 8 years

Education qualification

BE/ B.tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required Bachelor of EngineeringDegrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Python (Programming Language)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BWBPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management