Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
Hello,
Hope you are doing good!!
We at Cerebra Consulting, Inc., have an exciting job opening with one of our clients. Please go through the job description below and if you are interested, share your update resume with contact details.
Position: ML Engineer w/ Recommendation Engine experience (ONLY W2)
Location 99 Jefferson Road, Parsippany NJ hybrid 3x per week onsite
Duration: 6+ month contract with extensions
Interview Process: 1 round ONSITE interview
The interview process is 1 round onsite so please stick to only the local market, for now will not be looking at relocation candidates.
Top Must-Haves:
- 5+ years of experience in machine learning, with a focus on recommendation systems.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
- Experience with DataBricks and AWS
- Excellent problem-solving skills and a passion for delivering impactful solutions.
Machine Learning Engineer - Recommendation Systems
Need a skilled Machine Learning Engineer with expertise in building and optimizing recommendation models to join our dynamic team. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation systems that drive user engagement and business growth.
Key Responsibilities:
- Design and develop machine learning models for recommendation systems (e.g., collaborative filtering, deep learning, hybrid approaches).
- Optimize models for scalability, performance, and real-time predictions.
- Collaborate with data scientists, engineers, and product teams to integrate models into production pipelines.
- Analyze and improve recommendation quality using metrics like precision, recall, and user satisfaction.
- Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks) to enhance recommendations.
Requirements:
- 5+ years of experience in machine learning, with a focus on recommendation systems.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
- Experience with DataBricks and AWS
- Excellent problem-solving skills and a passion for delivering impactful solutions.
Thanks,
Vivek Srivastava
US IT Recruiter
Cerebra Consulting Inc,
Contact -: ext.-164
mail -
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