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HCLTech

Technical architect Machine learning/Deep Learning

12-15 Years
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  • Posted 21 days ago
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Job Description

HCLTech is looking for a highly talented and self- motivated Technical Architect Machine learning/Deep Learning to join in advancing the technological world through innovation and creativity

Role: Technical architects (Machine Learning/Deep Learning)

Location :Noida/Bangalore

Mode of Work :Hybrid

Exp:12- 15 yrs

Job Description:

Skills : Python, C++ , Pandas, NumPy, Matplotlib, Plotly, Seaborn

1. ML Exp

- Strong understanding of classical ML algorithms (regression, decision trees, SVMs, Random forest, SGBoost)

- Experience in feature engineering and data pre processing

- Hands on with ML Frameworks (Scikit learn etc)

2. Deep Learning Expertise

- Profeciency in designing and training deep nural networks (CNNs, RNNS, LSTM, Transoformers)

- Hands on with Tensorflow, Pytorch, Keras etc

3. Experience wiht Cloud platforms AWS (Sagemaker, EC2, EKS), GCP (Vertex AI, GKE), Azure (ML Studio)

4. Data pipeline Architecture : Streaming , batch

6+ Years of experience in ML/DL development and architectue

Master's of PhD in Computer science , data science or related field

Roles and Responsibilities

1. Architecture and Design scalable, efficient ML/DL models for various use cases

2. Model Development : Build, train, optimize complex ML/DL models

3. MLOps and Deployment

4. Model optimizatiion

5. Mentorship and guide

If interested with the above opportunity, please share your update resume to [Confidential Information]

How You'll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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About Company

Job ID: 132458661