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Urgent! Machine Learning Engineer Job Opening In Newark – Now Hiring Together We Talent
Machine Learning Engineer Newark, NJ (Hybrid) | Contract | $60/hour Design, develop, and deploy cutting-edge machine learning and generative AI solutions that power innovation and business transformation.
A leading technology services firm is seeking an experienced Machine Learning Engineer to architect and implement advanced ML and AI-driven solutions.
This role combines hands-on engineering with leadership, requiring deep technical expertise in model development, deployment, and optimization.
The ideal candidate will bring a strong command of modern ML frameworks, cloud platforms, and generative AI tools like LangChain and RAG.
This position is hybrid and open to local candidates only.
Position Overview The Machine Learning Engineer will lead the end-to-end lifecycle of machine learning initiativesfrom data pipeline design to production deploymentwhile collaborating across data science, engineering, and business teams.
This is a high-impact role at the intersection of AI innovation, scalable architecture, and applied data science, ideal for engineers passionate about operationalizing ML solutions at scale.
Key Responsibilities Lead and execute machine learning projects from concept to production, ensuring performance, scalability, and business impact.
Collaborate with data scientists to design, implement, and optimize ML and AI models.
Partner with infrastructure teams to enhance the architecture, stability, and scalability of ML platforms.
Design and build optimized data pipelines to support real-time and batch inference.
Extend and maintain existing ML libraries, frameworks, and APIs to accelerate delivery.
Implement model monitoring, governance, and automation frameworks for robust ML operations (MLOps).
Drive continuous improvement of ML platform capabilities, staying aligned with the latest technologies and best practices.
Translate complex ML and AI solutions into actionable business insights and measurable results.
Provide mentorship and technical direction to junior engineers on the ML team.
Requirements Required Qualifications Bachelors degree in Computer Science, Engineering, or a related field (Masters preferred).
7+ years of experience in machine learning or applied AI engineering.
Proficiency in Python, Java, and Scala, with a solid foundation in algorithms, data structures, and multithreading.
Expertise in ML and DL frameworks such as XGBoost, scikit-learn, TensorFlow, and PyTorch.
Experience with Generative AI, LangChain, and Retrieval-Augmented Generation (RAG) architectures.
Hands-on experience with cloud-based ML platforms such as AWS SageMaker, GCP AI Platform, H2O.ai, or DataRobot.
Strong understanding of model lifecycle management, including containerization, real-time inference, and CI/CD for ML.
Experience developing and deploying production-grade ML applications on cloud infrastructure.
Familiarity with Agile/Scrum methodologies and collaborative cross-functional teamwork.
Preferred Experience & Skills Strong knowledge of MLOps practices including monitoring, retraining pipelines, and governance frameworks.
Experience architecting generative AI solutions for enterprise-scale use cases.
Thought leadership in machine learning innovation, model scalability, and ethical AI practices.
Excellent communication, collaboration, and problem-solving skills.
Attributes & Mindset Analytical thinker with a passion for innovation and applied AI.
Highly detail-oriented with a focus on code quality and model performance.
Self-motivated and capable of leading projects in fast-paced environments.
Committed to continuous learning and staying ahead of emerging ML technologies.
Benefits Location: Newark, NJ (Hybrid) Experience Level: MidSenior Employment Type: Contract Compensation: $60/hour
Bachelor's degree in computer science, computer engineering, or a related engineering field.
Master’s degree preferred.
7 years
7+ years of experience in Machine Learning.
Extensive software engineering experience with strong working experience as a Machine Learning Engineer.Advanced proficiency with Python, Java, and Scala.
Strong computer science fundamentals such as algorithms, data structures, multithreading.
Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch In-depth experience building solutions using public clouds such as AWS, GCP.
Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
Experience managing relationships in a cross-functional environment with multiple stakeholders.
Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.
Experience working in Agile/ Scrum development process.
Thought leadership and innovative thinking.
Excellent communication and collaboration skills.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Newark, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Newark, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11037 jobs in United States and 23 jobs in Newark. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Together We Talent is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Newark.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Together We Talent adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs United States varies, but the pay scale is rated "Standard" in Newark. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Together We Talent, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Together We Talent's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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