AI/ ML Engineer

Hello Professionals,

We have below position open, please share profiles to santhi at siriangroup.com

Job Title: AI/ML Engineer

Location: Dallas, TX (Hybrid 3 days Onsite & 2 days Remote)

Experience: 13+ Years

Role Overview: We are seeking a seasoned Principal AI/ML Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions. This role requires a visionary leader who can define technical strategy, mentor teams, and drive innovation in Generative AI, LLMs, and advanced machine learning techniques.

Must have skill :

• Overall, 12-15 Years with 5-6 years experience in AI/ML
• Python/Java, TensorFlow / PyTorch, Lang Chain, Hugging Face.
• Hands-on with LLMs, embeddings, fine-tuning, and vector databases (FAISS, Pinecone, Chroma, etc.).
• Familiarity with NLP, text summarization, classification, semantic search, and RAG pipelines.
• Understanding of data engineering pipelines.

Technical Expertise:

• Strong proficiency in Python, TensorFlow/PyTorch, Scikit-learn, and Transformers.
• Hands-on experience with LLM fine-tuning, RAG, and vector databases (FAISS, Pinecone).
• MLOps & Cloud Platforms: Proficient in MLflow, Airflow, Docker, and Kubernetes.
• Experience with AWS SageMaker, Google Cloud Platform Vertex AI, or Azure ML.
• Data & Governance: o Deep understanding of data engineering, model governance, and AI ethics.
• Leadership Skills: Excellent communication, stakeholder management, and ability to influence at all levels.

Key Responsibilities:

• Architect AI/ML Solutions: Define and implement scalable AI/ML architecture, frameworks, and standards.
• End-to-End Model Lifecycle: Oversee data preparation, model training, deployment, and performance monitoring.
• MLOps Excellence: Build robust ML Ops pipelines and reusable components for production-grade systems.
• Leadership & Mentorship: Guide senior engineers and cross-functional teams to deliver impactful AI solutions.
• Innovation in Generative AI: Drive adoption of LLMs, Retrieval-Augmented Generation (RAG), and advanced ML methodologies.
• Governance & Compliance: Ensure adherence to AI governance, fairness, security, and ethical principles.
• Strategic Alignment: Collaborate with business and product leaders to align AI initiatives with organizational goals. Required Skills & Experience.
  
  

Shanthi Chittala

Sr US IT Recruiter

Email:

600 N Hartley St, Suite 709, York, PA 17404