Sr. Machine Learning Operations Engineer

Onward SEARCH needs a Sr.  Machine Learning Operations Engineer for our client, a Fortune 500 Financial analytics team.

You’ll join the Machine Learning team to lead, implement and define the MLOps, LLMOps technology and platform strategy. 

This is a 12 month contract opportunity.  (Possibility of extension)

To learn more about this Sr.  Machine Learning Operations Engineer opportunity, apply now and chat with a recruiter today! 

As a Sr.  Machine Learning Operations Engineer you’ll: 

•  Develop and implement MLOps strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop roadmap and strategy for MLOps and LLMOps Platforms and model lifecycle implementation
• Responsible for the design and development of custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform.
• Oversee the design, deployment, and management of scalable and reliable infrastructure for AI, ML , GenAI, LLM model training and deployment.
• Model Deployment: Lead the deployment of GenAI, LLM , machine learning models into
  production environments, ensuring reliability and scalability.

Skills & Experience needed:  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experienced professional (7+ years experience) as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
• 4+ years hands-on experience in integrating, evaluating, deploying, operationalizing ML and LLM models at speed and scale, including integration with enterprise applications and APIs. (In addition, ideal candidate should also have hands on experience on training and fine-tuning ML and LLM models at scale)
• Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling
• Experience with public cloud platform & systems (AWS, GCP, Azure)
• Proficiency with Databricks, MLflow, Flink, GPT4All, Kore.ai, or similar AI/ML/ML Ops
  technologies
• Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops
• Knowledge of DevOps, MlOps principles and practices, and experience with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent written & verbal communication and stakeholder management skills
• Strategic thinker and influencer with demonstrated technical and business acumen and
  problem-solving skills
• Experienced with LLMs (extractive and generative), fine-tuning and operationalizing LLM
  pipelines. Strong familiarity with higher level trends in LLMs and open-source platforms

To learn more about this Sr.  Machine Learning Operations Engineer opportunity, apply now and chat with a recruiter today! 

What’s in our benefits packages:  

• Medical, Dental, and Vision Insurance 
• Life Insurance 
• 401k Program 
• Commuter Benefit 
• eLearning 
• Education Reimbursement 
• Ongoing Training & Development  
• *To qualify for our benefits package, you must work over 30 hours per week and the length of assignment must be a minimum of 10 weeks.  

At Onward Search, our job is to find you dream jobs.  

We are creatives, marketers and digital wizards who use our talents to connect talented people with the nation’s leading brands. And our relationship won’t end with your start date.  

More than recruiters, we are your advocates, advisors, and employers of record. We pay weekly, make sure your needs are met, and measure our success by yours. Join us. 

DE&I is not just our promise, it’s our passion. 

Onward Search is an equal opportunity employer dedicated to a policy of non-discrimination in employment regarding race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other classification protected by federal, state and local laws and ordinances.  

Refer-A-Friend

Have talented friends or colleagues in your network looking for their next gig? Refer them to us and earn $250!

Refer-A-Job

Know somebody hiring? Refer them to us and earn $500!

Uncover more creative, gaming, marketing and tech opportunities at Onwardsearch.com