795 Senior Machine Learning Engineer 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.

Branch OverviewBranch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100 M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.Benefits of JoiningMission-driven, fast-paced, and entrepreneurial environmentCompetitive salary and equity packageA collaborative and flat company cultureFully-paid Group Medical Insurance and Personal Accidental InsuranceUnlimited paid time off, including personal leave, bereavement leave, and sick leaveFully paid parental leave — 6 months maternity leave and 3 months paternity leaveMonthly WFH stipend alongside a one-time home office set-up budget$500 Annual professional development budgetTeam meals and social events — Virtual and In-personWe’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

About the Role:We are looking for an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions. You will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.Key Responsibilities:Design, develop, and deploy ML models (regression, classification, clustering, deep learning).Build and optimize data pipelines, feature engineering, and training workflows.Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).Monitor model performance, retrain, and maintain production-ready systems.Develop APIs and integrate ML solutions with enterprise applications.Stay updated on ML/AI trends and contribute innovative solutions.Collaborate with data scientists, engineers, and product managers to align with business goals.Qualifications:3+ years of experience in ML engineering or related field.Strong proficiency in Python; knowledge of Java/Scala/R is a plus.Expertise with ML libraries/frameworks: scikit-learn, Tensor Flow, Py Torch, Keras.Hands-on with data tools: Pandas, Num Py, Spark.Experience with ML deployment (Sage Maker, Azure ML, GCP AI, Tensor Flow Serving, Torch Serve).Familiarity with databases (SQL, Mongo DB, Cassandra) and version control (Git).Understanding of Dev Ops/MLOps practices.Excellent problem-solving, communication, and collaboration skills.