Senior Technical Consultant – Data and AI

Job not on LinkedIn

🕒 November 18, 2025

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases. • Design, develop, and implement complex machine learning, large language and agentic models and algorithms to solve real-world business problems. • Collaborate with cross-functional teams, including data engineers, analysts, and subject matter experts, to understand business requirements and translate them into data science solutions. • Lead client-facing project teams of AHEAD Data and AI experts. • Develop and train custom ML models using frameworks such as Scikit-Learn, TensorFlow or PyTorch. • Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment. • Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner. • Mentor and provide guidance to junior AI Engineers. • Participate in pre-sales activities, including project scoping, estimation, and solution design. • Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices. • Contribute to the development and enhancement of AHEAD's Data &AI service offerings and thought leadership.

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field. • Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning. • Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code. • Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn. • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, nVidia AI Enterprise & DGX platforms • Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc. • Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts. • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods. • Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing. • Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences. • Experience in pre-sales activities, including project scoping, estimation, and solution design.