808 Machine Learning jobs in Hyderabad

Position: AI/ML Engineer

Experience: 4+ years

Location: Hyderabad- Hybrid

Notice Period: Immediate to 30 days joiners preferred

Job Overview:

Must have skills-

• Python : Experience with ML Libraries and at least 5 years of coding experience of building pipelines in Python/PySpark (libraries like NumPy, pandas, scikit-learn).
• Data preprocessing : Cleaning, transforming, and augmenting datasets to make them “ML-ready.” Experience with AWS GIS (Glue Interactive) and AWS Sagemaker
• Feature engineering : Identifying and creating relevant features that improve model accuracy and interpretability.
• Exploratory data analysis (EDA) : Using tools (matplotlib, seaborn, etc.) to visualize data and gain insights.

Full-Stack ML Engineer (Streamlit + Python)

Location: Remote / India

Experience: 4–6 years

Role Summary:

You will develop AI-powered tools using Streamlit for enterprise users—supporting use cases like spreadsheet summarization, HR Q&A bots, and performance engineering insight extraction.

Key Responsibilities:

• Build Streamlit apps for AI-assisted internal workflows
• Integrate frontend components with backend Python pipelines and vector stores
• Use LangChain or LlamaIndex to enable RAG with local LLMs
• Package apps using Docker for AWS deployment

Must-Have Skills:

• Python (Pandas, Scikit-learn, FastAPI or Flask)
• Experience with Streamlit or Dash for rapid UI development
• Familiarity with LLM APIs, Ollama, or Hugging Face models
• Vector DB integration (Chroma, FAISS, etc.)
• Bonus: Knowledge of HR/Performance engineering domains

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.

Full-Stack ML Engineer (Streamlit + Python)

Location: Remote / India

Experience: 4–6 years

Role Summary:

You will develop AI-powered tools using Streamlit for enterprise users—supporting use cases like spreadsheet summarization, HR Q&A bots, and performance engineering insight extraction.

Key Responsibilities:

• Build Streamlit apps for AI-assisted internal workflows
• Integrate frontend components with backend Python pipelines and vector stores
• Use LangChain or LlamaIndex to enable RAG with local LLMs
• Package apps using Docker for AWS deployment

Must-Have Skills:

• Python (Pandas, Scikit-learn, FastAPI or Flask)
• Experience with Streamlit or Dash for rapid UI development
• Familiarity with LLM APIs, Ollama, or Hugging Face models
• Vector DB integration (Chroma, FAISS, etc.)
• Bonus: Knowledge of HR/Performance engineering domains

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.

Position: AI/ML Engineer

Experience: 4+ years

Location: Hyderabad- Hybrid

Notice Period: Immediate to 30 days joiners preferred

Job Overview:

Must have skills-

• Python: Experience with ML Libraries and at least 5 years of coding experience of building pipelines in Python/PySpark (libraries like NumPy, pandas, scikit-learn).
• Data preprocessing: Cleaning, transforming, and augmenting datasets to make them “ML-ready.” Experience with AWS GIS (Glue Interactive) and AWS Sagemaker
• Feature engineering: Identifying and creating relevant features that improve model accuracy and interpretability.
• Exploratory data analysis (EDA): Using tools (matplotlib, seaborn, etc.) to visualize data and gain insights.

ML Engineer (Remote)Years of Experience : 2+ YearsSkills: AIML and Python Work Mode : RemoteApply NowAbout FirstsourceFirstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: , Reuters: FISO. BO, Bloomberg: FSOL: IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.Job Summary:As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.Key Responsibilities:Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation.Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions.Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.Document model architecture, training processes, and performance metrics for internal and client-facing reports.Qualifications:Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.Proven experience in developing and deploying generative AI models using frameworks such as Tensor Flow, Py Torch, or similar.Strong programming skills in Python and proficiency with machine learning libraries and tools.Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.Knowledge of data preprocessing, feature engineering, and model evaluation techniques.Excellent problem-solving skills and the ability to work independently and as part of a team.Strong communication skills to effectively convey technical concepts to non-technical stakeholders.Preferred Qualifications:Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.Understanding of ethical considerations and bias mitigation in AI systems.Contributions to open-source projects or publications in relevant conferences/journals.Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels email addresses.