ML Engineer

Description

AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you’ll collaborate with talented experts to build innovative solutions that address our company’s evolving business challenges.

Primary Responsibilities

• Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
• Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
• Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
• Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation.
• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
• Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
• Deploy, test, and optimize ML models and data pipelines in production environments.
• Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
• Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.

Qualifications

• Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
• 5+ years of experience in a similar role in a production environment.
• Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
• Hands‑on experience with cloud computing platforms such as AWS.
• Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit‑learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
• Experience integrating machine learning models and data‑driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
• Experience with iterative development processes, thriving in dynamic and agile environments.
• Ability to own ML delivery tasks end‑to‑end with little to no direct support. Hands‑on experience in deploying machine learning models into production environments.
• Strong understanding of software design patterns, principles, architecture, and operations.
• Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross‑functional teams.

Benefits

• BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
• Delta Dental plan with 2 free cleanings and insurance discounts
• Eye Med Vision with annual check‑ups and discounts on lens
• Life and Accidental Death Insurance paid by company
• John Hancock 401(k) Retirement Plan with discretionary company match
• Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
• Flexible work environment with some remote working opportunities
• Strong fun and teamwork environment
• Learning, development, and career growth