Description and Requirements

- Lenovo Cloud and Software team is seeking an experienced AI and Machine Learning Manager to lead teams working on 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 have been a 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

Experience in managing and leading small to medium size teams

Hands on expertise with MLOps methods and platforms such as MLFlow

Solid Data Engineering knowledge with technologies such as Apache Air Flow, 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, Sage Maker 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, Tensor Flow, 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, Sage Maker

Visualization technologies for AI and ML output, BI Reports, Tableau, PowerBI

Thorough understanding of Agile Development practices, ceremonies





Excellent communication skills

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++, Type Script based languages

Expertise in Machine Learning frameworks such as PyTorch, Lang Chain, Lang Graph, 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 * India * India - Karnātaka * India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE NOTICE FOR PUBLICAt 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 beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment. Kindly verify job offers through the official or contact Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.

📌 AI/ML Engineering Manager (India)
🏢 Lenovo
📍 India