AI/ML Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 2 days ago
0-1 years
Hyderabad
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 9 Jan 2027

Posted: 2 days ago
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Job Description

AI/ML Engineer


Job Title: AI/ML Engineer

Experience: 0.6 Months -- 01 Year

Employment Type: Internship

Job Location: Hyderabad

Work Mode: Work from Office


About the Role:

We are looking for a passionate and motivated AI/ML Engineer with 0.6Months to 1Year of experience to join our growing technology team. The ideal candidate should have a strong foundation in Python programming, Machine Learning, Deep Learning, and Generative AI concepts.

The candidate will be responsible for developing, implementing, testing, and optimizing AI/ML models and contributing to real-world AI-driven projects. This role provides an opportunity to work with emerging AI technologies, LLMs, and intelligent automation solutions.


Key Responsibilities

  • Develop, train, test, and implement Machine Learning models.
  • Work on supervised and unsupervised machine learning algorithms.
  • Perform data preprocessing, cleaning, feature engineering, and exploratory data analysis.
  • Build and optimize AI/ML models using Python.
  • Work with Generative AI, Large Language Models (LLMs), and Prompt Engineering.
  • Gain hands-on experience in Retrieval-Augmented Generation (RAG) applications.
  • Work with frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas.
  • Integrate AI/ML models with applications using REST APIs and Flask/FastAPI.
  • Work with SQL and databases for data storage and retrieval.
  • Collaborate with senior engineers and cross-functional teams to deliver AI-powered solutions.
  • Stay updated with emerging AI/ML technologies, tools, and industry trends.

Required Skills

  • Strong knowledge of Python programming.
  • Basic understanding of Machine Learning algorithms and concepts.
  • Knowledge of supervised and unsupervised learning techniques.
  • Hands-on experience with NumPy, Pandas, Scikit-learn, and Matplotlib.
  • Understanding of Deep Learning and Neural Networks.
  • Basic knowledge of Generative AI, LLMs, and Prompt Engineering.
  • Familiarity with TensorFlow or PyTorch.
  • Basic knowledge of SQL and database concepts.
  • Understanding of REST APIs and application development.
  • Good analytical, logical reasoning, and problem-solving skills.

Good to Have

  • Hands-on experience with OpenAI APIs or other LLM APIs.
  • Knowledge of LangChain or LlamaIndex.
  • Exposure to RAG pipelines and Vector Databases.
  • Familiarity with Hugging Face Transformers.
  • Knowledge of Flask or FastAPI.
  • Understanding of Git/GitHub and cloud platforms (AWS/Azure/GCP).
  • Academic or personal projects in AI/ML or Generative AI.

Qualification

  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
  • Candidates with relevant internships, academic projects, or practical AI/ML project experience are encouraged to apply.

What We Are Looking For

  • Strong willingness to learn and explore new technologies.
  • Ability to understand technical requirements and implement solutions.
  • Good communication and teamwork skills.
  • Passion for Artificial Intelligence, Machine Learning, and Generative AI.
  • Self-motivated individuals with a problem-solving mindset.

Skills

MachinePythonArtificial IntelligenceAimlMlMachine LearningIntelligenceArtificial IntelligencePythonData AnalysisData ScienceDeep LearningMachine LearningAi/mlPrompt EngineeringLarge Language ModelsAi/ml EngineerMl EngineerFlaskAiMlSqlLlmLlmsGenerative AiRagOpenaiHugging FaceLangchainLlamaindexPytorchTensorflowScikit-learnNumpyPandasNeural NetworksFeature EngineeringIntelligent AutomationFastapi

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About Company

Covalent Technologies believes in a free and open Internet. The company provides software that is used to manage open-source Tomcat and Apache Web server applications. Covalent also offers related professional and support services, which comprise the bulk of the company's revenues. The company's customers come from a wide range of industries such as financial services, manufacturing, telecommnications, health care, transportation, and pharmaceuticals. Founded in 1994, Covalent has received funding from venture capital firms including Menlo Ventures, Sequoia Capital, and Granite Ventures.
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