230 Machine Learning Engineer jobs in Hyderabad

Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a leading provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making. Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets.

Job Title: Machine Learning Engineer

Location: Gurgaon / Hyderabad

Experience: 5-14 years

Key Responsibilities:

• Design, build, and deploy scalable ML models for information extraction and NLP .
• Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, evaluation, and deployment .
• Work with large-scale data processing frameworks (Apache Spark) to optimize ML solutions.
• Develop and maintain cloud-based data pipelines (AWS/GCP) for streaming and batch processing .
• Implement MLOps best practices including CI/CD pipelines, automated testing, and model monitoring .
• Deploy containerized ML applications using Docker and Kubernetes .
• Collaborate with data engineers, software developers, and product teams to integrate ML solutions.
• Stay updated on emerging ML, NLP, and AI trends to enhance models.

Qualifications & Skills:

• 5+ years of experience in Machine Learning, NLP, and MLOps .
• Strong expertise in Python and ML/NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face ).
• Experience with Apache Spark for large-scale data processing .
• Hands-on experience in cloud-based ML development (AWS/GCP) .
• Strong understanding of data preprocessing, feature engineering, and model training .
• Proficiency in SQL (big data experience is a plus).
• Version control experience with Git, GitHub, or Azure DevOps .
• Excellent problem-solving, debugging, and optimization skills .

Nice to Have:

• Experience with LangChain for LLM-based applications .
• Knowledge of Core Java 17+ (preferably Java 21+), Apache Kafka, and Apache Avro .
• Exposure to JVM-based languages such as Kotlin or Scala .

Position : Machine Learning Engineer

Experience : 3+ Years

Location : Hyderabad

Woking Days -5

Skills: Machine learning, Computer Vision and Natural Language Processing , convolutional neural networks, Python

Requirement/Responsibilities -

1. Design, train, and optimize different machine learning models.

2. Understand and finetune vision and text models.

3. Implement SOTA techniques from research papers into production ready

4. Hands on experience on transformers and CNNS

5. Efficient, and scalable python coding skills

6. Cross functional collaboration

Skills and Qualifications -

1. 3+ years of hands-on experience in training models (CV & NLP)

2. Strong python skills

3. Ability to read and implement research papers quickly.

4. Familiarity with SOTA architectures

Position : Machine Learning Engineer

Experience : 3+ Years

Location : Hyderabad

Woking Days -5

Skills: Machine learning, Computer Vision and Natural Language Processing , convolutional neural networks, Python

Requirement/Responsibilities -

1. Design, train, and optimize different machine learning models.

2. Understand and finetune vision and text models.

3. Implement SOTA techniques from research papers into production ready

4. Hands on experience on transformers and CNNS

5. Efficient, and scalable python coding skills

6. Cross functional collaboration

Skills and Qualifications -

1. 3+ years of hands-on experience in training models (CV & NLP)

2. Strong python skills

3. Ability to read and implement research papers quickly.

4. Familiarity with SOTA architectures

We are looking for an experienced Machine Learning Engineer to join our team. The ideal

candidate should have a strong background in developing, implementing, and deploying

machine learning models on edge platforms. With at least 5 years of overall experience and at

least 3 years of machine learning experience, you will significantly contribute to our projects,

driving innovation and delivering high-quality solutions.

Responsibilities:

● Design, develop, and deploy machine learning models and algorithms on the edge

platforms.

● Perform data analysis and feature engineering to enhance model performance.

● Collaborate with cross-functional teams to integrate ML solutions into existing systems.

● Monitor and maintain deployed models, ensuring optimal performance and reliability.

● Stay current with the latest advancements in machine learning and AI.

● Document processes and best practices for machine learning workflows.

● Troubleshoot and resolve issues related to ML models and data pipelines.

Experience & Background Requirement:

● Bachelor's or Master's degree in Engineering or equivalent.

● Minimum of 7+ years of overall experience.

● Minimum of 7 years of machine learning experience.

● Proficiency in programming languages such as Python, C, C++.

● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis .

● Strong understanding of machine learning algorithms and techniques (e.g., regression,

classification, clustering, neural networks).

● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch,

Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV).

● Knowledge of data preprocessing, feature engineering, and model training/evaluation.

● Experience with data storage and processing technologies (e.g., SQL, JSON, XML).

● Excellent problem-solving and analytical skills.

● Strong communication and collaboration abilities.

● Experience of streaming and GUI development is an advantage.