Senior AI/ML Engineer

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure.

Key Responsibilities

• Lead a team of AI/ML engineers, providing technical guidance, mentorship, and support.
• Collaborate directly with client teams to understand business problems, explain technical solutions clearly, and lead the implementation of AI/ML features while representing 3Pillar’s technical excellence.
• Lead technical execution of AI/ML projects from experimentation to production.
• Translate business problems into AI/ML solutions and manage solution delivery.
• Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.
• Collaborate with product, data engineering, and software teams for integrated delivery.
• Conduct code reviews, ensure best practices, and contribute to model deployment pipelines.
• Maintain documentation and model governance as per responsible AI standards.
• Define project goals, scope, and deliverables in collaboration with stakeholders.
• Create scalable architecture and robust machine learning systems that meet business objectives of a software product.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows.
• Establish best practices and standards for machine learning development within the organization.
• Monitor and evaluate the performance of machine learning models in production and implement improvements as needed.
• Stay updated on industry trends and advancements in machine learning technologies.
• Implement, deploy, optimize AI/ML algorithms and models into production environments.
• Conduct experiments, perform data analysis, and present findings to stakeholders.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a Master’s degree is preferred.
• 8+ years of experience in building AI models with ML, NLP and deep learning.
• Proven track record of successfully delivering machine learning projects from concept to production.
• Strong leadership, interpersonal skills, and ability to effectively communicate technical concepts to non-technical stakeholders.
• Excellent problem-solving abilities and attention to detail.
• Strong knowledge of AI/ML techniques, algorithms, and frameworks. Experience building and deploying ML models (classification, NLP, forecasting).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
• Exposure to Matplotlib, Seaborn, or Plotly.
• Solid understanding of machine learning concepts, algorithms, and statistical methods.
• Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.).
• Knowledge of MLOps practices and experience with CI/CD tools.
• Good understanding of using LLMs via APIs or fine-tuning open-source models.
• Hands‑on with data prep (Pandas, Spark), feature engineering, model training and tuning.
• Knowledge of vector stores, embeddings, and LLMOps tools (LangChain, LlamaIndex, etc.).
• Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.).
• Exposure to monitoring frameworks (evidently.ai, whylogs, or custom dashboards).
• Proven ability to work independently and with a team.
• Extensive expertise in refining LLMs, implementing RAG architectures, Weaviate vector databases, and advanced prompt engineering.

Additional Experience Desired

• Led teams building GenAI, LLM, or agentic AI applications.
• Experience building reusable AI frameworks or platforms.
• Experience with vector databases (FAISS, Pinecone), RAG, Hugging Face.
• Contributions to research papers, blogs, or open-source projects.

#J-18808-Ljbffr…