AI/ML Developer

Lenovo; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Lenovo is seeking an experienced AI and Machine Learning Engineer to develop traditional ML models and large language models in a fast-paced environment. The role focuses on data processing, data pipelines, and Python-based ML workflows across Cloud and Edge solutions.

The candidate should have hands-on expertise in ML tooling, data engineering, and model optimization, with strong collaboration across Architecture, Product Lifecycle, and security teams.

Qualifications

• Hands-on developer with Python and ML libraries.
• Experience with data lake architectures and building data pipelines.
• Experience in Agile development and release management.
• Strong knowledge of AWS, SageMaker, and cloud-based ML workflows.
• Familiarity with multi-language support and AI integration across platforms.

Responsibilities

• Develop traditional ML models and large language models in a fast-paced environment.
• Build and optimize data pipelines and data lake architectures for model consumption.
• Collaborate with Architecture, Product Lifecycle, and security teams throughout development lifecycle.
• Design and tune scalable AI/ML solutions with a security-first approach.
• Lead experimentation, evaluation, and deployment of ML models and features.

Skills

Machine Learning

MLOps

Data Engineering

Python

Spark

Vector databases

RAG

Explainable AI

Model optimization

Cloud computing

Tools

MLFlow

Airflow

PySpark

Pandas

PyTorch

TensorFlow

LangChain

LangGraph

Tableau

PowerBI

SageMaker

AWS Bedrock

Kafka

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

At Lenovo, we are driven by a bold vision to deliver Smarter Technology for All. Our mission is to develop transformative technologies that foster a more inclusive, trustworthy, and sustainable digital society. Through the design and engineering of the world’s most comprehensive portfolio of smart devices and infrastructure, we are also leading innovation in developing and delivering Hybrid AI solutions that reinvent the way users interact with their fleet of devices. Our Hybrid AI Platform allows for development of AI based solutions that are deployed on Cloud, Agentic AI solutions and Edge solutions on millions of devices. It also gathers data that is analyzed and processed to provide intelligent and innovative solutions with cutting-edge technologies. Join us in shaping the future of intelligent device management and defining the next generation of smarter technology.

About this role

Lenovo Cloud and Software team is seeking an experienced AI and Machine Learning Engineer to develop traditional machine learning and large language models in a fast paced environment. This role is also expected to be proficient in data processing techniques, transformation, develop data pipelines to enable consumption by the programmed models. To be successful in this role, candidates must be hands-on developer with rich knowledge of data lake architecture, machine learning and AI concepts using Python and its library frameworks. This role requires extensive coordination with multiple teams and stakeholders throughout the lifecycle of development. Close collaboration with Architecture team, Product Lifecycle management team, product assurance team, security and others. Release management through Agile processes is a primary responsibility for this role. A successful candidate in this role would have well rounded knowledge of traditional Machine Learning, Data, Cloud and AI concepts. Additionally they should have experience in designing and tuning application-level performance and scalability, while designing with security-first principles.

Primary Skills and Responsibilities

• At least 7 years of relevant experience of full-time working experience in Machine Learning, MLOps
• Hands on expertise with MLOps methods and platforms such as MLFlow
• Strong Data Engineering knowledge with technologies such as Apache AirFlow, PySpark
• Developing Technical Designs for Machine Learning and Artificial Intelligence features.
• Experience designing, training and validating ML models
• Experience with testing technologies for various ML Models
• Expertise in designing and developing Unsupervised models for clustering, pattern analysis and anomaly detection, forecasting.
• Experience in handling Time Series Data, Anomalies detection, Data Correlation techniques
• Well versed with model optimization, resources handling, recall and precision tuning, improving performance while maintaining inference quality.
• Expert at big data processing, transformations, optimized pipeline processing, Lakehouse architecture.
• Well versed with cloud technologies, preferably AWS, estimating and designing compute requirements, cloud costs optimization, SageMaker expertise.
• Expertise in using Vector databases, RAG, recommendation engines, document library semantic search, ChatGPT like interfaces.
• Hands‑on development of Solutions in Data Engineering technologies & AI
• Closely collaborate with Architecture teams to establish solutions designed to scale for millions of users.
• Engaging actively with other specializations and compliance processes
• Participating in daily working sessions, and leading workstreams from planning through execution to closure
• Hands on development experience in Python, using related libraries such as Pandas, Pytorch, TensorFlow, Spark
• Experience with Conversational AI, ChatGPT, Multi language support
• Hands on Experience in Cloud Technologies, preferably AWS
• Good understanding of SaaS platforms and associated technologies
• Proficiency in Containeration, Orchestration of containers, scaling concepts
• Expertise in AWS Bedrock, SageMaker
• Visualization technologies for AI and ML output, BI Reports, Tableau, PowerBI
• Thorough understanding of Agile Development practices, ceremonies

Preferred Skills

• Knowledge of IoT applications, device communication
• Certifications in AWS or equivalent Cloud technologies and AI, ML paths
• Microservices architecture knowledge and REST based solutions

Technologies

• Proficiency in programming languages such as Python, Java, C++, TypeScript based languages
• Expertise in Machine Learning frameworks such as PyTorch, LangChain, LangGraph, R
• Cloud technologies/services (AWS, Azure)
• Big Data tools (Hadoop, Spark, Flume, Kafka)
• Data Pipeline and Workflow management tools (Airflow, MLFlow)
• SQL and NoSQL Databases
• Stream processing, Java, Python
• Knowledge of multiple Operating Systems such as Windows, Macintosh, Linux, Android, iOS

Additional Locations

* India - Karnātaka - Bangalore * India - Karnātaka - BANGALORE

NOTICE FOR PUBLIC

At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative.

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