- Techvantage Analytics is a fast-growing AI services and product engineering company specializing in Analytics, Machine Learning, and AI-based solutions.
- We are seeking an ambitious and energetic Intern Software Engineer(AI) who is passionate about exploring the newest advancements in Generative AI and data science.
- This role provides an excellent opportunity to work on transformative projects, collaborate with talented professionals, and build a strong foundation in AI-powered solutions.
Techvantage Recruitment Drive 2025 | Techvantage Hiring Software Engineer
The job you are looking for is no longer available..- Company Name
- Techvantage
- Company Website
- http://techvantage.com
- Job Role
- Software Engineer
- Job Type
-
- Internship
- Job Location
-
- India
- Skills
-
- Microsoft Azure
- Kubernetes
- Education
-
- BE/BTech
- ME/M.Tech
- Branch
-
- CS
- IT
- Job will expire on
- 24 Jun 2025
About Company
Job Overview
- Dive deep into raw data to frame insightful questions, identify trends, and deliver actionable solutions.
- 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 probl
Eligibility Criteria
- 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).
Job Description
- 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.
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