Data Scientist

**ENOVADATA is a IT Services company in Valsad, Gujarat.**:
**Currently seeking full time Dynamic Sr..Net/Sql Programmer.**:
**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

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.
- Collaborate with engineering teams to integrate models into production systems.
- 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.
- 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.