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Intern Data Scientist
0-1 years
₹ 5.5 - 5.5L/yr (AmbitionBox estimate)
Thiruvananthapuram
1 vacancy
Intern Data Scientist
TechVantage Systems
posted 8d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Exploration and Analysis: Dive deep into raw data to frame insightful questions, identify trends, and deliver actionable solutions.
- Generative AI Development: Design, fine-tune, and deploy Generative AI models like GPT, Stable Diffusion, and DALL E for innovative applications, including content generation, AI-powered recommendations, and creative problem-solving.
- Large Language Models (LLMs): Build and optimize LLMs, leveraging frameworks like LangChain to enhance AI capabilities for conversational agents and other real-world applications.
- Model Development: Develop predictive models and classifiers using mathematical modeling, machine learning, and statistical techniques.
- Data Preprocessing: Perform data cleansing, transformation, and preparation of structured and unstructured datasets to uncover patterns and enable advanced analytics.
- AI Integration: Work on integrating Generative AI and advanced AI techniques into scalable systems, ensuring impactful solutions for customer challenges.
- Data Visualization: Create interactive dashboards and visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Seaborn, Plotly) to communicate insights effectively.
- Advanced Applications: Apply computer vision techniques such as preprocessing, feature extraction, and pattern recognition, and experiment with NLP and image generation methodologies.
- Collaborative Development: Work closely with software engineers and architects to extract, transform, and standardize data for analytics and machine learning workflows.
- MLOps Practices: Support the creation and maintenance of automation pipelines for model training, deployment, and monitoring using tools like MLflow, Docker, and Kubernetes.
- Innovation and Strategy: Continuously explore advancements in Generative AI and propose innovative strategies to address complex business problems.
What skills do you need
- B.Tech/MS/M.Tech or PhD in Computer Science, Machine Learning, AI, or related field.
- Hands-on experience or familiarity with Generative AI models like GPT, DALL E, MidJourney, and tools such as Hugging Face and OpenAI APIs.
- Exposure to Large Language Models (e.g., BERT, T5) and tools like LangChain, RAG pipelines, or similar frameworks.
- Understanding of supervised, unsupervised, and reinforcement learning, and expertise in algorithms like XGBoost, random forests, and deep learning models.
- Experience with tokenization, embeddings, sentiment analysis, and sequence-to-sequence models.
- Proficiency in ETL processes, data pipelines, and experience with Big Data tools like Apache Spark, Kafka, or Hadoop.
- Strong knowledge of Tableau, Power BI, or Python visualization libraries (Seaborn, Matplotlib, Plotly).
- Familiarity with MLOps tools like MLflow, Kubeflow, Docker, Kubernetes, Jenkins, and CI/CD pipelines.
- Experience with cloud environments like AWS (SageMaker), Azure (Machine Learning Studio), or Google Cloud (Vertex AI).
- Solid foundation in linear algebra, calculus, probability, and statistics, with an ability to apply these concepts to AI models.
- Strong skills in SQL for relational databases and familiarity with NoSQL systems (e.g., MongoDB, Neo4j).
- Knowledge of transformer-based models and their application in NLP, vision, and multimodal tasks.
- Experience with preprocessing, feature extraction, pattern recognition, and frameworks like OpenCV or YOLO.
- Ability to review academic papers and implement cutting-edge techniques.
- Strong analytical thinking, problem-solving, teamwork, and communication skills.
- Exposure to Generative Adversarial Networks (GANs), VAEs, and similar frameworks.
- Contributions to open-source projects or personal AI portfolios on platforms like GitHub.
- Awareness of emerging AI ethics and responsible AI practices.
- Knowledge of time-series analysis, anomaly detection, or geospatial data processing.
- Experience with hybrid or federated learning approaches.
Employment Type: Full Time, Permanent
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Rating based on 5 Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Thiruvananthapuram
No likes I am very sorry, they basically mentally torture the freshers for their own benefits
1. Forcefully make resign even for full time employee 2. They hired lots of candidates like a batch and fire them almost 80% from the particular batch. Reason because they give a stipend of Rs15k or even Rs 10k and give them industrial project without any proper KT. Naturally most of them failed and they were bound to leave th..Read More
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