AI/ML Lead

ESP Engineered

Hyderabad

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

ESP Engineered in Hyderabad, India is seeking an experienced AI Engineering Lead to oversee the design and deployment of AI/ML solutions. The ideal candidate will have over 5 years of experience in AI development including 2 years in a leadership role. Responsibilities include managing a team of AI engineers, collaborating with stakeholders, and delivering ethical and scalable AI solutions. Strong expertise in Generative AI, Python, and cloud platforms is required. Competitive salary and innovations-driven environment offered.

Qualifications

  • 5+ years of experience in AI/ML development, with at least 2+ years in a leadership role.
  • Strong expertise in Generative AI, agentic AI, and ML algorithms.
  • Proven track record of delivering AI solutions for clients.

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions.
  • Manage and mentor a team of AI engineers.
  • Work closely with clients to understand business needs and define AI strategies.

Skills

Generative AI models
Machine Learning Algorithms
Team Leadership
Cloud-Based Platforms
Python
Agile Development
Problem-Solving
Communication Skills

Tools

TensorFlow
PyTorch
Hugging Face
OpenAI APIs

Job description

We are seeking an experienced AI Engineering Lead with a strong background in Generative AI models, agentic systems, and machine learning algorithms. This role requires a leader who has hands-on experience in building AI-driven solutions for clients and delivering end-to-end AI solutions. You will lead a team of AI engineers, collaborate with cross-functional stakeholders, and drive the successful implementation of AI projects from ideation to deployment. Strong communication skills are essential to effectively articulate complex AI concepts to both technical and non-technical audiences.

Key Responsibilities
  • Lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI and agentic AI models.
  • Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
  • Develop and fine-tune ML models, including deep learning, NLP, reinforcement learning, and agent-based systems.
  • Work closely with clients to understand business needs, define AI strategies, and deliver custom AI-driven solutions.
  • Architect and implement scalable AI systems that integrate with enterprise applications.
  • Stay updated with state-of-the-art AI research, applying best practices to solve real-world business problems.
  • Drive participation in AI hackathons and industry challenges, fostering a team culture of innovation and experimentation.
  • Collaborate with product managers, software engineers, and data scientists to ensure seamless deployment and monitoring of AI solutions.
  • Present AI strategies and technical solutions to stakeholders, translating complex AI concepts into business value.
  • Ensure AI models are ethical, fair, and transparent, with proper governance in place.
Required Qualifications
  • 5+ years of experience in AI/ML development, with at least 2+ years in a leadership role.
  • Strong expertise in Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and ML algorithms.
  • Proven track record of delivering AI solutions for clients, including hands-on experience in deploying models into production.
  • Experience with frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other ML libraries.
  • Strong programming skills in Python, Java, or similar languages.
  • Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices.
  • Experience leading AI hackathons or similar innovation-driven initiatives.
  • Excellent problem-solving skills, with the ability to translate business needs into AI solutions.
  • Strong interpersonal and communication skills, with the ability to explain AI concepts to both technical and non-technical stakeholders.
  • Experience working in agile development environments.
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