About the Role:
We are seeking an experienced and strategic AI & Machine Learning Engineer – Manager to join our Consulting Practice. In this leadership role, you will architect and deliver scalable AI/ML solutions across a wide range of industries including finance, healthcare, retail, and manufacturing. You’ll lead multidisciplinary teams and client engagements, combining deep technical expertise with consulting acumen to drive digital transformation and unlock value through AI.
Key Responsibilities:
- Lead the design, development, and deployment of production-grade AI/ML solutions for clients across various industries
- Translate business problems into analytical frameworks and machine learning pipelines
- Guide clients through AI maturity assessments, use case identification, proof of concepts (POCs), and full-scale implementations
- Manage end-to-end project delivery including scope definition, resource planning, timelines, and stakeholder communication
- Oversee teams of data scientists, machine learning engineers, and software developers on engagements
- Build trusted advisor relationships with clients, helping shape their long-term AI/ML and data strategies
- Stay abreast of emerging trends in AI, MLOps, and responsible AI to bring cutting-edge practices to client engagements
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (PhD a plus)
- 8+ years of experience in software engineering and AI/ML development, with 3+ years in consulting or client-facing roles
- Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost
- Experience in building and deploying models into production, including API development and containerization (Docker, Kubernetes)
- Strong understanding of end-to-end ML workflows, including model versioning, CI/CD, monitoring, and retraining (MLOps)
- Proven ability to lead technical teams and deliver complex projects on time and on budget
- Excellent communication skills and experience presenting to senior clients and executives
Preferred Qualifications:
- Experience with cloud platforms (AWS, Azure, GCP) and ML tools like SageMaker, Vertex AI, Azure ML
- Background in NLP, computer vision, time series forecasting, or generative AI
- Familiarity with responsible AI practices, explainable AI (XAI), and AI ethics frameworks
- Strong business acumen in at least one domain: finance, healthcare, manufacturing, consumer goods, etc.
What We Offer:
- Opportunity to lead cutting-edge AI initiatives for high-profile clients
- Competitive compensation, performance bonuses, and long-term incentives
- Flexible working environment – work remotely or from client sites across the country/world
- Access to world-class training, certifications, and conferences
- Collaborative, innovation-driven culture committed to growth and excellence
How to Apply:
📩 Submit your resume, project portfolio (GitHub, case studies, etc.), and a brief cover letter to: consulting-ai-careers@[yourcompany].com
Subject: Application – AI & ML Engineer – Manager (Consulting) – [Your Name]
🗓 Applications reviewed on a rolling basis