Data Scientist

3 weeks ago

hyderabad, India Alp Consulting Ltd. Full time
Hello Connections
Grab the Below Opportunity
Job Profile: Python + Machine Learning-- Data Science
Experience: 7-9 Years
Soft Skills – Strong Communication skills (verbal/written)
Location- Hyderabad/Bangalore/Chennai/Pune/Noida/Gurgaon
Notice Period ; (Please Specify LWD if Serving Notice )-Immediate Joiner's Only
NOTE :
Interested Candidates kindly share Updated Resume & below details in one Email with Subject Python + Machine Learning-- Data Science to get processed your application Immediately.
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Notice Period ; (Please Specify LWD if Serving Notice )-Immediate Joiner's Only
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Highest Qualification/University Name
Any Gap: Academic/Employment
Job Description:
Job Summary: We are seeking a Data Scientist with experience in various data science techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge data science models and machine learning algorithms to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying machine learning/deep learning/AI techniques, and deliver innovative solutions that push the boundaries of AI technology. This role requires a strong background in machine learning, deep learning, and computer vision, along with a passion for exploring and experimenting with state-of-the-art models.
Responsibilities:
1. Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data pre-processing, training, optimization, and evaluation of models.
2. Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training.
3. Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability.
4. Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results.
5. Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders.
Qualifications:
1. Bachelor’s or master’s degree in computer science, Data Science, Statistics, or related field. 2. Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
3. Proficiency in Python
4. Experience Deep learning framework like Tensorflow, Pytorch, Keras, Jax etc.
5. Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel etc. 6. General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
7. Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability.
8. Familiarity with cloud services (AWS, Google Cloud, Azure).
9. Excellent written and verbal communication skills.

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