AI Machine Learning
AI Machine Learning
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Job Description
Job Title: AI Machine Learning
Location: ChennaiBangaloreHyderabad
Experience: 518 Years
Skills: Computer Vision projects Deep Learning Machine Learning ML algorithms
Job Summary:
As AI Machine Learning you will leverage your deep expertise in Artificial Intelligence and Machine Learning to design develop test and deliver intelligent automation solutions. Working closely with crossfunctional teams you will drive the development and deployment of AIdriven applications ensuring alignment with business objectives and client needs. This role requires strong technical proficiency in AI/ML algorithms data modeling and machine learning frameworks along with experience in agile methodologies and continuous improvement practices to optimize performance accuracy and user satisfaction.
About Us:
This position is being recruited by Smartwork IT Services a leading recruitment and productbased company. In addition to staffing solutions Smartwork IT Services is involved in developing cuttingedge products like SWITS ATS (Applicant Tracking System) and SWITS HRMS (Human Resource Management Services). We focus on delivering exceptional value through innovative solutions and toptier talent acquisition.
Roles & Responsibilities:
- AI and Machine Learning hands on experience in Artificial Intelligence Machine Learning Deep Learning Computer Vision projects products and systems. Experience of working on ML algorithms DL models (NLP based models). Vector Databases Graph Databases etc.
- Generative AI Familiarity with Generative AI models including LLMs RAG Approach communication flow in both approaches multimodal usage opensource models from Hugging face Lang chain frameworks Vector DB (atleast one DB should be well known in terms of indexing storing the embeddings extracting the answers) Prompts Context based prompts etc. Experience with transformerbased and diffuserbased models (e.g. BERT GPT T5 Llama Stable diffusion)
- Cloud Platforms: Atleast experience of working on one of cloud platforms: AWS Sagemaker Azure OpenAI Google Cloud Vertex AI IBM WatsonX etc.
- Thorough knowledge on the various types of Models F1 score accuracy training the models tuning of models (with hyperparameters & all other techniques) possible statistical models and their fitment model deployment data pre/post processing. Knowledge should come out of their practical experience from their projects (no theoretical answers) either using cloud native services or opensource s/w.
- HW Platforms: Atleast experience of working on Intel or Nvidia platforms (CPUGPU)s
- Software Engineering agile development practices requirements design architecture debugging and validation of software products/projects
- Experience building commercial grade software with much of that experience in a large scale high availability service.
- Programming Experience Python C C C# Java etc.
- Working knowledge of Distributed Systems and Cloud Technologies.
- Proficiency in Python and relevant ML libraries (e.g. TensorFlow PyTorch) to develop productiongrade quality product
- Ability to debug read code and work on a large and increasing codebase
- Good understanding of statistics linear algebra and probability theory
- Excellent problemsolving skills and the ability to work independently and collaboratively
- Design and architecture: Ability to understand scalable performant secure and efficient AI systems and solutions.
- Collaboration: Ability to work seamlessly with crossfunctional teams including data scientists project engineers delivery (customer) and practice teams.
- Communication: Ability to clearly convey technical concepts to both technical and nontechnical audiences
Employment Type
Full Time
