Ford Motor hiring Hybrid Machine Learning Engineer | 12 – 22 Lakhs | Apply fast

Job Title: Machine Learning Engineer
Company: Ford Motor Company
Degree: Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
Location: Hybrid (On-site/Remote flexibility)
Experience: 3+ years in Software Development and Machine Learning
Employment Type: Full-Time
Salary: ₹12.4 Lakhs to ₹22.0 Lakhs per year

Ford Motor hiring Hybrid Machine Learning Engineer, Global Data Insight & Analytics organization seeking a Machine Learning Engineer with splendid software application improvement capabilities and palms-on enjoyment in AI/ML. This exciting feature will be popular in constructing the subsequent-era Mach1ML platform—a cutting-edge-day AI/ML enablement tool designed to democratize device learning at some point in Ford’s business enterprise, much like systems like OpenAI’s GPT or Facebook’s FBLearner.

You’ll paint in collaborative, agile, and rapid-paced surroundings alongside engineers, product managers, designers, and corporation companions to supply present-day AI/ML solutions that electricity facts-pushed choice-making and decorate client tales.

Key Responsibilities

• Collaborate with Tech Anchors, Product Managers, and Data Scientists to deliver system-gaining knowledge of use instances following Ford’s Agile Framework.
• Work inside the Deploy crew to pressure version deployment and AI/ML integration with internal and door systems.
• Research and position into effect contemporary deployment gear to beautify AI/ML adoption for the duration of Ford.
• Leverage GCP, CI/CD equipment, and the fashionable ML generation for fast, awesome deployment of machine reading fashions.
• Build and install tools studying and deep getting to know fashions (Scikit-examine, TensorFlow, PyTorch, DataRobots, and many others.).
• Machine Learning Engineer Develop ETL techniques for records education, making sure clean, brilliant datasets for model development.
• Use superior statistical strategies like okay-way clustering, neural networks, PCA, and Gaussian regression for model building and validation.

Required Qualifications

• Bachelor’s or Master’s diploma in Computer Science, Engineering, or a related location.
• 3+ years of enjoy in entire-stack software program software application development and cloud technology (preferably GCP).
• Machine Learning Engineer Proficiency in Python, SQL, and BigQuery.
• Hands-on experience with gear like SonarQube, Terraform, GCS, Vertex AI, Airflow, TensorFlow, and HuggingFace.
• Strong records of CI/CD pipelines, cloud-primarily based completely version education, and deployment.

Why Join Ford?

At Ford, you’ll find paintings on groundbreaking AI/ML systems that redecorate the automobile business enterprise. As a hybrid Machine Learning Engineer, you’ll benefit from access to the fashionable generation, global companies, and thrilling demanding situations. Ford offers collaborative, agile artwork surroundings with possibilities for expert increase, making it an excellent region to enhance your profession in AI/ML.

How to Apply

1. Click “Apply Now” at the venture listing.
2. Redirect to our profession portal or companion internet page.
3. Complete and put up the application form.
4. Check your e-mail for affirmation and further commands.

Take the subsequent step to force innovation and create smarter, facts-driven answers with Ford Motor Company.