Sr. Machine Learning Engineer

Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The candidate is expected to provide hands-on contributions to projects while providing mentorship to more junior team members and interacting with Business partners on regular basis. 

Responsabilities:

• Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
• Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
• Apply AI and Machine Learning technology to solve complex, real-world problems.
• Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
• Fulfill problem formulation and ML technique consulting requests in a timely manner.
• Communicate and present analytical models to business customers and executive management.
• Work collaboratively with different business partners and be able to present results in a clear and concise manner.

Job Qualifications: 

• Master’s or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.
• 4+ years of experience with software engineering best practices in a team of 6+ engineers
• 2+ years working within public cloud ecosystems (AWS, GCP, or Azure) 

Technical Skills: 

• Strong programming skills in Python.
• Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices 
• Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery
• Proficiency in building, deploying, and managing applications using Docker containers in development and production environments
• Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.
• Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
• Core concepts of modern NLP or Computer Vision modeling techniques
• Familiarity with best practices in deep learning
• Strong technical writing and oral english skills

Preferred Qualifications:

• Git and best practices in GitHub
• Test and Behavior Driven Development
• OS: Linux shell scripts
• Experience with Google Cloud Platform
• Experience with front-end and back-end technologies (React, Angular, Node.js) for developing integrated data access and visualization layers 
• High-level proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform 
• Strong knowledge of CI/CD pipelines and automation frameworks to enhance development workflows 

Leadership Skills: 

• Proven ability to build and lead high-performing engineering teams 
• Strong understanding of security best practices and principles 
• Experience implementing data governance frameworks and security measures 
• Excellent problem-solving and troubleshooting skills 
• Outstanding communication, collaboration, and presentation abilities 
• Demonstrated success delivering complex projects under aggressive timelines 
• Previous experience in manufacturing or automotive preferred  

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.
 

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.