Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV
NavitasPartnersErie, PA • On-site, Remote
$101.20K - $139K/yr
Full-time
Posted 6 hours ago
Job description
Senior AI / ML Engineer – Enterprise Data & GenAI Solutions
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are hiring a Senior AI/ML Engineer to lead development of enterprise-grade AI and GenAI solutions. This role bridges data engineering, ML engineering, and cloud architecture to deliver scalable AI systems.
Key Responsibilities:
- Build and scale ML pipelines and GenAI applications
- Integrate AI solutions with enterprise data platforms
- Implement MLOps frameworks for automation and governance
- Optimize models and pipelines for performance and cost efficiency
Required Skills:
- Strong experience in ML engineering, MLOps, and AI system design
- Expertise in Python, PyTorch, and related ML frameworks
- Experience with cloud platforms (AWS, Azure, GCP)
- Strong understanding of data pipelines and integration
Nice to Have / Coverage:
- Experience with data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery
- Exposure to GenAI tools (LangChain, LLM orchestration frameworks)
- Knowledge of Responsible AI, governance, and compliance
- Experience in enterprise-scale AI deployments
For more details reach at resumes@navitassols.com.
Most Popular Jobs Similar to Senior Engineer
engineer iv
lead engineer
senior rd engineer
senior principal engineer
principal engineer
staff engineer
engineering lead
engineer
engineer manager
senior project engineer
Other Helpful Pages Related To Senior AI / ML Engineer - Enterprise Data & GenAI Solutions - AIRLHV
Remote Scala Career Research
Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Engineer?
A: To succeed as a Senior Engineer, key technical skills include expertise in software development methodologies (e.g., Agile, DevOps), proficiency in programming languages (e.g., Java, Python), and in-depth knowledge of relevant technologies (e.g., cloud computing, artificial intelligence). Additionally, essential soft skills include strong leadership and communication abilities, as well as the capacity to mentor and guide junior engineers, along with excellent problem-solving and analytical thinking skills. By combining these technical and soft skills, Senior Engineers can effectively lead projects, drive innovation, and contribute to the growth and success of their organization.
Q: What is the career path for a Senior Engineer?
A: A Senior Engineer typically follows a career progression from entry-level roles such as Junior Engineer or Design Engineer, to mid-level positions like Staff Engineer or Lead Engineer, and eventually to senior roles like Senior Engineer or Principal Engineer. Along the way, they develop key skills in technical leadership, project management, and communication, as well as opportunities to specialize in areas like technical mentoring, innovation, and strategic planning. Long-term, Senior Engineers may pursue leadership roles like Engineering Manager, Director of Engineering, or even transition into non-technical roles like Product Management or Business Development.
