Valsad Gujarat Data scientist Jobs – 2 Open Jobs Today

Data Scientist
ENOVADATA —Valsad, Gujarat
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
.NET Developer with AI Tools Expertise
ENOVADATA —Valsad, Gujarat
- Full-time
- Azure
- Computer Science
- Software troubleshooting

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Data Scientist

ENOVADATA
Valsad, Gujarat

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
RDBMS
Performance tuning
Power BI
Image processing
Azure
Doctoral degree
Computer Science
Kubernetes
PyTorch
Big data
Software deployment
Spark
R
NoSQL
Git
Google Cloud Platform
Tableau
Master's degree
Pandas
AWS
Docker
Machine learning
Terraform
Continuous integration
Deep learning
Natural language processing
GitHub
Data science
Keras
AI
Jenkins
GitLab
Python
Data Science
Hadoop

Full job description

ENOVADATA is an IT Services company in Valsad, Gujarat.

Data Scientist (AI/ML, OpenAI, Gemini, Copilot)

Location: Remote Options Available

Employment Type: Full-time

Job Timing :

Monday-Friday : 3:00 PM to 12:00 AM (8:00 PM to 9:00 PM Dinner Break) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break )

About Us:

At Enovadata, we are revolutionizing the public sector through cutting-edge technology and data-driven solutions. As part of our growth and commitment to innovation, we seek an experienced and driven Data Scientist to join our dynamic AI/ML team. If you’re passionate about building transformative AI solutions and have hands-on experience with advanced models like Gemini, OpenAI, and Copilot, we want to hear from you!

Job Description:

As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools.

Key Responsibilities:

Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies.
Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models.
Collaborate with engineering teams to integrate models into production systems.
Apply best practices for model training, tuning, evaluation, and optimization.
Develop and maintain pipelines for data ingestion, feature engineering, and model deployment.
Leverage tools like OpenAI’s GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions.
Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems.
Continuously stay up-to-date with the latest AI/ML technologies and research trends.

Qualifications:

Required:

Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.
Strong expertise in building and deploying machine learning models across various use cases.
In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others.
Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning.
Expertise in model training, fine-tuning, and hyperparameter optimization.
Strong programming skills in Python, R, or similar languages.
Solid understanding of model evaluation metrics and performance tuning.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras.
Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot.
Strong experience with data wrangling, feature engineering, and preprocessing techniques.
Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders.

Preferred:

PhD or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks).
Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc.
Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform.
Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models.
Knowledge of reinforcement learning (RL) algorithms and practical application experience.
Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators.
Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment.

Additional Tools & Technologies (Preferred Experience):

Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face
Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
Big Data Processing: Hadoop, Spark, Databricks, Dask
Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson
Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD
Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPi, Pandas
Database : RDBMS, NoSQL
Version Control: Git, GitHub, GitLab

Why Join Us:

Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology.
Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas.
Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities.
Competitive Compensation: We offer a competitive salary and benefits package.

Apply Now

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ENOVADATA is an IT Services company in Valsad, Gujarat.

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