
Senior AI/ML Engineer
6 days ago
Role Summary :
We are seeking a Senior AI/ML Engineer with 6- 7 years of relevant experience in designing, developing, and deploying advanced AI and Machine Learning solutions. This role is ideal for a strong technical professional who can grow into a Lead position in the near future. You will be responsible for end-to-end ownership of AI/ML projects, from requirement gathering to model deployment, while also mentoring junior team members.
The role requires hands-on expertise in ML, Deep Learning, Computer Vision, NLP, and LLMs with the ability to build scalable, production-grade AI systems. Strong coding skills in Python and a proven track record in implementing AI/ML models in real-world applications are essential.
Key Responsibilities :
- Collaborate with clients and stakeholders to gather requirements, design solutions, and provide technical proposals.
- Design, develop, train, and optimize AI/ML models for diverse use cases (NLP, Computer Vision, OCR, LLM based solutions).
- Lead proof-of-concept (POC) and proof-of-technology (POT) initiatives, including solution demonstrations and workshops.
- Translate business problems into technical requirements and deliver efficient AI/ML solutions.
- Deploy AI/ML models as services or APIs using Cloud (AWS/Azure/GCP) and/or Kubernetes.
- Stay updated with the latest AI/ML trends, frameworks, and technologies (e.g., transformers, LLMs, generative models).
- Mentor and guide junior engineers, promoting best practices in coding, testing, and deployment.
- Contribute to organizational AI/ML strategy and innovation roadmap.
Required Skills & Experience :
Core Expertise :
- Hands-on with OpenCV, OCR algorithms, and advanced neural networks (CNN, RNN, GANs, Transformers, etc.).
- Large Language Models (LLMs) : Experience with GPT-3.5/4, LLaMA, Mistral, Gemini, etc.
- LLM Integration : Familiarity with frameworks like LangChain, LlamaIndex, AgentGPT.
- Strong knowledge of Python with frameworks like Tensor Flow, PyTorch, Keras, and & DevOps :
- Knowledge of Cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
- Proficiency in unit testing and secure development Potential :
- Ability to take ownership, work independently, and scale into a Lead role.
Soft Skills :
- Logical thinking, problem-solving, and collaboration skills.
Preferred Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
- 6- 7 years of relevant AI/ML experience (strong technical foundation, not just tool usage).
- Exposure to transformer models, embeddings, generative AI, and multimodal AI solutions.
- Ability to contribute to hiring, team development, and organizational initiatives.
(ref:hirist.tech)-
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