Full-Time
Full Stack ML Engineer
Posted on 7/1/2025
Ford Motor Company
10,001+ employees
Manufactures connected and electric vehicles
No salary listed
Senior, Expert
Chennai, Tamil Nadu, India
In Person
- Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc.
- Experience in Train, Build and Deploy ML, DL Models
- Experience in HuggingFace, Chainlit, React
- Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end.
- Ability to adapt quickly with opensource products & tools to integrate with ML Platforms
- Building and deploying Models (Scikit learn, TensorFlow PyTorch, etc.)
- Developing and deploying On-Prem & Cloud environments
- Kubernetes, Tekton, OpenShift, Terraform, Vertex AI
- Experience in LLM models like PaLM, GPT4, Mistral (open-source models)
- Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
- Developing and maintaining AI pipelines with multimodalities like text, image, audio etc.
- Have implemented in real-world Chat bots or conversational agents at scale handling different data sources.
- Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix.
- Expertise in handling large scale structured and unstructured data.
- Efficiently handled large-scale generative AI datasets and outputs.
- Familiarity in the use of Docker tools, pipenv/conda/poetry env
- Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.)
- Familiarity in use of Github (clone, fetch, pull/push, raising issues and PR, etc.)
- High familiarity in the use of DL theory/practices in NLP applications
- Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas
- Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others
- Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.)
- Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment
- Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI
- Good working knowledge on other open source packages to benchmark and derive summary
- Experience in using GPU/CPU of cloud and on-prem infrastructures
- Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.
- Use of Dockers (experience in experimental docker features, docker-compose, etc.)
- Familiarity with orchestration tools such as airflow, Kubeflow
- Experience in CI/CD, infrastructure as code tools like terraform etc.
- Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.
- Ability to develop APIs with compliance, ethical, secure and safe AI tools.
- Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc.
Ford Motor Company designs and manufactures vehicles, focusing on both traditional and electric models. Their vehicles are equipped with advanced technology that enhances connectivity and driving experience, allowing users to access features and services through their smartphones and in-car systems. Unlike many competitors, Ford emphasizes a long-standing commitment to community and sustainability, aiming to create vehicles that not only serve individual needs but also contribute positively to society and the environment. The company's goal is to empower people to move freely and pursue their aspirations while leading the transition to a more sustainable future in transportation.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dearborn, Michigan
Founded
1903
Simplify's Take
What believers are saying
- Ford's electric F-150 aligns with rising demand for sustainable transportation.
- Collaboration with Metromile taps into personalized insurance trends.
- Digital-first economy supports Ford's potential in enhancing digital sales platforms.
What critics are saying
- Competition from GM's Cruise in driverless delivery could impact Ford's market share.
- Shift Technologies' digital-first model challenges Ford's traditional sales approach.
- Cavnue's autonomous corridor may outpace Ford's self-driving technology capabilities.
What makes Ford Motor Company unique
- Ford's F-150 Lightning offers increased horsepower, range, and payload capacity.
- Ford invests $700 million in electric F-150 production, enhancing its EV lineup.
- Partnership with Metromile introduces pay-per-mile insurance, appealing to low-mileage drivers.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Remote Work Options
Paid Parental Leave
Family Planning Benefits
Fertility Treatment Support
Tuition Reimbursement
Paid Holidays
Paid Vacation