ML Engineer (Vertex & Java)

Job Description

• Skill Set :

  Python,Java,vertex,AI/ML Engineering

• Total Experience :

  7.00 to 15.00 Years

• No of Openings :

  1

• Job Post Date :

  02/10/2026

• Job Expiry Date :

  30/11/2026

• Domain :

  IT

• Location :

  DEARBORN [United States]

• Job Reference No :

  4110520

Job Summary

Job Title: ML Engineer (Vetrex & Java)

Location: Dearborn, MI (Onsite)

Job Summary: We are seeking a highly skilled ML Engineer with a strong foundation in AI/ML Engineering to join our dynamic team in Dearborn, MI. The ideal candidate will have 7-10 years of experience in developing and deploying machine learning models and algorithms using Vertex and Java Full Stack skills. You will play a crucial role in driving innovation and enhancing our AI capabilities, working closely with cross-functional teams to deliver impactful solutions.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms to solve complex business problems.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing systems.
• Conduct data analysis and preprocessing to ensure high-quality input for machine learning models.
• Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Document processes, model architectures, and results to ensure reproducibility and knowledge sharing.
• Provide technical guidance and mentorship to junior team members.

Mandatory Skills:

• Strong expertise in AI/ML Engineering, including experience with supervised and unsupervised learning techniques.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Hands-on experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.

Preferred Skills:

• Experience with deep learning techniques and frameworks.
• Knowledge of natural language processing (NLP) and computer vision.
• Understanding of big data technologies (e.g., Hadoop, Spark).
• Experience with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work in a fast-paced environment.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 7-10 years of relevant experience in machine learning and AI engineering.
• Proven track record of successfully deploying machine learning solutions in a production environment.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

The pay range for this role is $100,000- $110,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate. This job is open for contract as well with a pay range of USD 60-70/hr (max.)

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”