What are the responsibilities and job description for the Machine Learning Engineer position at Ascendion?
About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000 Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world’s leading brands
- Solve complex problems – and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
*** About the Role ***
Job Title: Machine Learning Engineer
Key Responsibilities:
- Deploy and manage LLMs using TorchServe, TensorFlow Serving, or custom API endpoints.
- Optimize inference performance for large-scale GenAI workloads in real-time environments.
- Design and implement retrieval-based GenAI systems (e.g., RAG) using vector databases like FAISS, Pinecone, or Weaviate.
- Build, deploy, and scale ML services using Kubernetes and Docker for robust, fault-tolerant AI pipelines.
- Leverage Python and popular ML frameworks (PyTorch, TensorFlow) for fine-tuning, testing, and maintaining AI models.
- Utilize AWS SageMaker or similar cloud ML platforms for scalable training and deployment.
Must-Have Skills:
- Proven experience in LLM deployment & optimization
- Strong understanding of GenAI architectures – particularly RAG and vector search
- Hands-on with Kubernetes, Docker, and container orchestration for ML workloads
- Experience with Python, PyTorch, TensorFlow
- Familiarity with vector databases: FAISS, Pinecone, Weaviate
- Exposure to cloud-based ML platforms like AWS SageMaker
Salary Range: The salary for this position is between $130,000– $140,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
Salary : $130,000 - $140,000