AI ML Engineer (Senior)

Weekday

Bengaluru

On-site

INR 8,000,000 - 100,000,000

Full time

2 days ago

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Qualifications

10+ years of experience in machine learning and data science with a proven production deployments track record.
Expertise in agentic AI using reinforcement learning, NLP, or multimodal models.
Cloud platforms (AWS, Azure, GCP) and Kubernetes experience.
Proficient in RESTful APIs and gRPC integrations with external systems.
Hands-on with CI/CD pipelines, automated testing, and model deployment tools.
Strong coding skills in Python, Java, or Go, plus TensorFlow, PyTorch, or JAX."],
job_responsibilities_description':['Design, prototype, and validate end-to-end ML workflows from data ingestion to inference.','Develop and fine-tune agentic AI models that autonomously adapt to changing user contexts.','Build cloud-native microservices and APIs to expose ML capabilities.','Integrate ML models with data lakes, Kubernetes clusters, and event-driven architectures.','Ensure robust model governance, monitoring, and continuous improvement cycles.','Collaborate with data engineering to optimize data pipelines and feature stores.','Mentor junior engineers on best practices, coding standards, and deployment strategies.','Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.','Lead evaluation of ML frameworks and cloud services.','Document architecture, code, and operations for maintainability.'],
CoT_job_summary_short
COMPANY NAME: WeekdayKEY POINTS: Senior AI/ML engineering, cloud-native, agentic AI, Kubernetes
job_summary_short
<p>Weekday is seeking a Senior AI ML Engineer to architect and deploy advanced ML solutions powering intelligent agentic systems in Bengaluru. You will design scalable pipelines, implement state-of-the-art algorithms, and transform data into actionable predictions across domains.</p><p>You will mentor junior engineers, drive best practices, and optimize model performance and reliability in a fast-moving environment. Strong collaboration with cross-functional teams is essential.</p>
contract_type
fulltime
location_type
on site
remote_scope
null
perks
[]
stated_min
8000000
stated_max
100000000
stated_absolute
null
salary_estimation_cot
Senior AI ML Engineer in Bengaluru, 10+ years, INR 8–100 LPA; market ranges vary by tier and impact; cloud-native deployments and governance.
estimated_low
8000000
estimated_medium
54000000
estimated_high
100000000
currency
INR
frequency
yearly
bonus
null
tax
gross
application_email
null
job_end_date
null
contact_person
null
hiring_department_name
AI/ML Engineering

Skills

Reinforcement learning

NLP

Multimodal models

Python

Java

AWS

Azure

GCP

Kubernetes

REST APIs

gRPC

TensorFlow

PyTorch

JAX

CI/CD

Model deployment

Data privacy

Cloud architectures

Tools

Kubernetes

TensorFlow

PyTorch

JAX

Job description

This role is for one of the Weekly's clients

Salary range: Rs 8000000 - Rs 100000000 (ie INR 80-100 LPA)

Experience: 10+ yrs

Location: Bengaluru

As a Senior AI ML Engineer, you will architect and deploy advanced machine learning solutions that power intelligent, agentic systems, driving business value across diverse domains. Leveraging your deep expertise in model development, you will design scalable pipelines, implement state-of-the-art algorithms, and transform data into actionable predictions. You will collaborate closely with cross-functional teams to translate complex requirements into cloud-native applications, ensuring seamless integration with existing platforms and external APIs. Your role will also involve mentoring junior talent, championing best practices, and continuously optimizing model performance and system reliability in a fast-moving, high-impact environment.

KEY RESPONSIBILITIES

Design, prototype, and validate end-to-end machine learning workflows from data ingestion to inference.
Develop and fine-tune agentic AI models that autonomously adapt to changing user contexts.
Build cloud-native microservices and APIs to expose ML capabilities for internal and external consumption.
Integrate ML models with enterprise platforms such as data lakes, Kubernetes clusters, and event-driven architectures.
Ensure robust model governance, monitoring, and continuous improvement cycles.
Collaborate with data engineering to optimize data pipelines and feature stores.
Mentor and guide junior engineers on best practices, coding standards, and model deployment strategies.
Conduct performance benchmarking, A/B testing, and scaling studies to meet SLAs.
Lead the selection and evaluation of cutting-edge ML frameworks and cloud services.
Document architecture, code, and operational procedures for maintainability and knowledge transfer.

WHAT MAKES YOU A GREAT FIT

10+ years of experience in machine learning and data science with a proven track record of production deployments.
Deep expertise in building agentic AI solutions using reinforcement learning, NLP, or multimodal models.
Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
Strong background in developing RESTful and gRPC APIs and integrating them with external systems.
Hands-on experience with CI/CD pipelines, automated testing, and model deployment tools.
Excellent coding skills in Python, Java, or Go, with familiarity in scalable frameworks such as TensorFlow, PyTorch, or JAX.
Demonstrated ability to translate business requirements into technical designs and measurable outcomes.
Experience mentoring teams, conducting code reviews, and driving technical excellence.
Solid understanding of data privacy, security, and compliance standards in a cloud environment.
Passion for staying current with emerging AI technologies and a proactive approach to problem solving.