807 Machine Learning Engineer jobs in Hyderabad

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team.

You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.

What we're looking for:

• At least 3 years of experience in designing & building AI applications for customer and deploying them into production
• At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.
• Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
• Design, develop, and operationalize existing ML models by fine tuning, personalizing it.
• Evaluate machine learning models and perform necessary tuning.
• Develop prompts that instruct LLM to generate relevant and accurate responses.
• Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
• Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
• Hands on customer experience with RAG solution or fine tuning of LLM model.
• Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.
• Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.
• Proven experience building and deploying machine learning models in production environments for real life applications
• Good understanding of natural language processing, computer vision or other deep learning techniques.
• Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
• Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
• Excellent communication, collaboration, and problem-solving skills.

Good to Have

• Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
• Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.
• Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows
• Experience with AutoML and vision techniques.
• Master’s degree in statistics, machine learning or related fields.

Role: ML Engineer (Part time)

Experience- 2- 5 Years

Location: Hyderabad

Job description:

We're seeking a highly skilled Machine Learning Engineer to drive the development and implementation of cutting-edge ML solutions. As a genius with ML, you'll leverage your expertise to design, build, and deploy innovative models and algorithms that solve complex problems and drive business growth.

Key Responsibilities:

1. ML Model Development: Design, train, and deploy machine learning models using various techniques, including deep learning, natural language processing, and computer vision.

2. Innovation Leadership: Lead the development of innovative ML solutions, identifying opportunities for growth and improvement.

3. Collaboration: Work with cross-functional teams to integrate ML solutions into products and services.

4. Research: Stay up-to-date with the latest ML research and trends, applying findings to improve existing solutions and drive innovation.

Requirements:

1. Technical Expertise: Strong background in machine learning, deep learning, and programming languages such as Python, TensorFlow, or PyTorch.

2. Innovation Mindset: Proven ability to think creatively and develop innovative solutions.

3. Collaboration: Excellent communication and collaboration skills.

Nice to Have:

1. Cloud Experience: Experience with cloud platforms such as AWS, Azure, or Google Cloud.

2. Domain Expertise: Knowledge of specific domains, such as healthcare, finance, or computer vision.

What We Offer:

1. Challenging Projects: Opportunities to work on complex, high-impact projects.

2. Collaborative Environment: Dynamic team of experts in ML and related fields.

3. Growth Opportunities: Professional development and growth opportunities.

If you're passionate about machine learning and innovation, we'd love to hear from you!

Machine Learning Engineer:

Experience-5+ Yrs.

Location-Pune/Bangalore/Hyderabad/Chennai

JD-

• Expert-level proficiency in Google Cloud Platform (GCP) , demonstrating deep practical experience with Vertex AI , Big Query, Apache Beam, Cloud Storage, Pub/Sub, Cloud Composer (Apache Airflow), Cloud Run, Kubernetes Engine (GKE) concepts (for custom model serving), Docker.
• Strong experience leveraging GPUs/TPUs for accelerated ML training.
• Mastery of Python, TensorFlow and/or PyTorch, NLP libraries (e.g. spaCy, NLTK).
• Large-scale model training techniques, including distributed training, transfer learning, fine-tuning pre-trained models, and efficient data loading strategies
• Develop, fine-tune, and deploy LLMs using Vertex AI and GCP-native tools .
• Build and maintain NLP pipelines for tasks such as text classification, NER, question answering, summarization, and translation.
• Implement prompt engineering and retrieval-augmented generation (RAG) for enterprise applications.

About the Role:

We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our (mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles). You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future and requires a strong technical foundation combined with a passion for innovation and problem-solving.

Responsibilities:

Model Development & Deployment:

• Design, develop, and deploy machine learning models using various algorithms (e.g., regression, classification, clustering, deep learning) to solve complex business problems.
• Select appropriate datasets and features for model training, ensuring data quality and integrity.
• Implement and optimize model training pipelines, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.
• Deploy models to production environments using containerization technologies (e.g.,Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure).
• Monitor model performance in production, identify and troubleshoot issues, and implement model retraining and updates as needed.

Infrastructure & Engineering:

• Develop and maintain APIs for model serving and integration with other systems.
• Write clean, well-documented, and testable code.
• Collaborate with software engineers to integrate models into existing products and services.

Research & Innovation :

• Stay up to date with the latest advancements in machine learning and related technologies.
• Research and evaluate new algorithms, tools, and techniques to improve model performance and efficiency.
• Contribute to the development of new machine learning solutions and features.
• Proactively identify opportunities to leverage machine learning to solve business challenges.

Collaboration & Communication:

* Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders.

* Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences.

* Participate in code reviews and contribute to the team's knowledge sharing.

Qualifications:

* Experience : 7+ years of experience in machine learning engineering or a related field.

Technical Skills:

• Programming Languages : Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus.
• Machine Learning Libraries : Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
• Data Processing : Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark.
• Model Deployment : Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning).
• Databases : Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra).
• Version Control : Experience with Git and other version control systems.
• DevOps : Familiarity with DevOps practices and tools.
• Strong understanding of machine learning concepts and algorithms : Regression, Classification, Clustering, Deep Learning etc.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.