167 Predictive Models jobs in Hyderabad

As a member of the Platform engineering team, you will be the key techno functional expert leading and overseeing PepsiCo's Platforms & operations and drive a strong vision for how Platforms engineering can proactively create a positive impact on the business. You'll be an empowered Leader of a team of Platform engineers who build Platform products for platform optimization and cost optimization and build tools for Platform ops and Data Ops on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As Leader of the Platform engineering team, you will help in managing platform Governance team that builds frameworks to guardrail the platforms of very large and complex data applications in public cloud environments and directly impact the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems.

What can you tell your friends

“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”

To ensure we execute on our values we are looking for someone who has a passion for:

As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:

You should recognize yourself in the following…

This position is located in Hyderabad, India.

We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.

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.

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 .