27 Data Preprocessing Jobs

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale data pipelines using DataBricks. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop high-quality code in Python using popular libraries such as Pandas, NumPy, Matplotlib, OpenCV, etc. Participate in code reviews to ensure adherence to coding standards and best practices. Troubleshoot issues related to data processing, machine learning models, and deep learning algorithms. Desired Candidate Profile B.Tech/B.E. degree in Computers or Information Technology from a reputed institution. Strong proficiency in programming languages like Python; hands-on experience with ML frameworks like scikit-learn, TensorFlow, PyTorch. 3-5 years of experience in AI/ML engineering or a related field (Data Science).

Job Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

About the team: In this role, you will be part of the GDM Analytics team, with responsibility to support all efforts to enhance our team's sales data analytics capabilities. You will be required to coordinate our efforts and actions with the nine market units. Keeping constant client and broker focus with particular emphasis on our growth initiatives and sales campaigns will be important. Minimum qualifications: Bachelor's , Master's or PHD in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. At least 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). Commercial Insurance experience would be a plus. Job Requirements: Work with stakeholders throughout the GDM organization to identify opportunities for leveraging data to drive business solutions. Mine and analyze data from Sales Analytics databases to drive efficiency improvements and meet growth objectives. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Develop and automate reports, iteratively build dashboards to provide insights at scale, solving for business priorities. Develop processes and tools to monitor and analyze model performance and data accuracy. Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies Stay up to date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information. Manage stakeholders, solicit ideas, prioritize, and manage expectations. About you: Strong problem-solving skills with an emphasis on solution development. Experience with analysis applications (e.g., extracting insights, performing exploratory data analysis, or solving business problems), and coding (e.g., Python, R, SQL) to manipulate data and draw insights from large datasets. Proficiency in machine learning libraries and frameworks such as TensorFlow, PySpark, scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of probability concepts, statistical analysis, hypothesis testing, and experimental design. Experience with Large Language and other Machine Learning models to analyze structured and unstructured data (e.g., for Natural Language Processing). Knowledge of a variety of machine learning techniques (clustering, ensembles, artificial neural networks, etc.) and their real-world advantages/drawbacks. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Keywords: Reference Code: 134304

Description We are seeking an experienced NLP & LLM Engineer to join our team in India. The ideal candidate will be responsible for designing and implementing advanced NLP models and algorithms, as well as developing and fine-tuning large language models for various applications. This role requires a strong understanding of machine learning and natural language processing techniques, as well as the ability to collaborate with cross-functional teams to deliver innovative solutions. Responsibilities Design and implement natural language processing (NLP) models and algorithms. Develop and fine-tune large language models (LLMs) for various applications. Collaborate with data scientists and software engineers to integrate NLP solutions into products. Conduct research to improve the performance of existing NLP systems. Analyze and preprocess large datasets for training and evaluation of models. Stay updated with the latest advancements in NLP and machine learning technologies. Skills and Qualifications 3-8 years of experience in natural language processing and machine learning. Proficiency in programming languages such as Python, Java, or Scala. Experience with NLP libraries and frameworks such as NLTK, SpaCy, Hugging Face Transformers, or similar. Strong understanding of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). Familiarity with large language models (LLMs) and their applications. Solid background in statistics and data analysis. Ability to work with cloud platforms (AWS, GCP, Azure) for deploying NLP solutions. Excellent problem-solving skills and attention to detail.

Description We are seeking a skilled NLP Engineer to join our team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for developing innovative solutions that leverage language data. Responsibilities Develop and implement natural language processing (NLP) models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to integrate NLP capabilities into applications. Analyze and preprocess large datasets to improve model performance. Conduct research on the latest NLP techniques and frameworks to enhance existing systems. Optimize and fine-tune NLP models for better accuracy and efficiency. Skills and Qualifications 3-8 years of experience in Natural Language Processing or related field. Proficiency in programming languages such as Python, Java, or Scala. Strong understanding of NLP libraries and frameworks like NLTK, SpaCy, TensorFlow, or PyTorch. Experience with machine learning techniques and algorithms relevant to NLP. Familiarity with text preprocessing, feature extraction, and model evaluation metrics. Knowledge of deep learning architectures for NLP, including LSTM, Transformers, and BERT. Ability to work with large datasets and experience with data manipulation tools. Strong problem-solving skills and the ability to work in a collaborative environment.

Description We are seeking an experienced NLP Engineer to join our team in India. The ideal candidate will have a strong background in natural language processing and machine learning, capable of developing innovative solutions to complex problems. You will work closely with cross-functional teams to design and implement state-of-the-art NLP applications. Responsibilities Develop and implement natural language processing algorithms and models. Collaborate with data scientists and software engineers to integrate NLP solutions into applications. Analyze and preprocess large datasets to improve model performance. Conduct experiments and evaluate model effectiveness using statistical methods. Stay updated on the latest research and advancements in NLP and machine learning. Provide technical guidance and mentorship to junior team members. Skills and Qualifications 3-7 years of experience in Natural Language Processing or related field. Proficiency in programming languages such as Python, Java, or C++. Experience with NLP libraries and frameworks such as NLTK, SpaCy, or Hugging Face Transformers. Strong understanding of machine learning concepts and algorithms. Familiarity with deep learning frameworks like TensorFlow or PyTorch. Ability to work with large datasets and perform data analysis using tools like pandas and NumPy. Knowledge of cloud platforms (e.g., AWS, GCP) for deploying NLP models. Strong problem-solving skills and ability to work in a fast-paced environment.

Position Summary The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. Working closely with technology leaders from across our global client community, you will be their senior Trusted Advisor for their AI-enabled transformation journey This role demands deep understanding of AI and related technologies, running in Edge, on-prem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level. The ideal candidate will be an established thought-leader, with solid architectural and engineering credentials. Working ahead of industry trends, deeply passionate about technology-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, AI industry leaders, provide expert opinions, and contribute to HCLs strategic vision. Key Responsibilities Technical & Engineering Leadership Design comprehensive AI solution and technology architecture, integrating latest AI technology developments into world-class solutions. Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments. Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains. Contribute to HCLs thought leadership in the AI & Cloud domains with a deep understanding of opensource technologies (e.g., Kubernetes, OPEA) and partner technologies. Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell. Service Delivery & Innovation Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value. Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness. Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies. Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments. Thought Leadership and Client Engagement Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape. Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships. Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery. Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies. Collaboration and Customer Engagement Engage with multiple customers simultaneously, providing high-impact consultative relationships. Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. Maintain a hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization. Mandatory Skills & Experience Experience: 10+ years architecture design • 7+ years in software engineering. Technologies: Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud). Demonstrable coding proficiency with Python, Java or Go languages. AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Working familiarity with Copilot solutions, in both software engineering and office productivity domains. Communication: Exemplary verbal and written communication skills. Project Methodologies: Agile and Scrum project management. Desired Skills & Experience Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments. Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation. Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks. Copilot design, engineering and extensions. Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions. Deep Learning Frameworks (TensorFlow, PyTorch) Innovation and Emerging Technology Trends Strategic AI Vision and Road mapping Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCLs dynamic and high-energy Lab culture. Verifiable Certification Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloud-related domain. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective cross-cultural collaboration. Expert at driving organizational change and fostering a culture of innovation.

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

AI/ML Model Development: Design and implement machine learning models and algorithms to address specific business needs. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to extract meaningful insights. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: Integrate machine learning models into existing systems and applications. Deploy models in production environments and monitor their performance. Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. Provide technical guidance and support to team members and stakeholders. Documentation and Reporting: Document model development processes, code, and methodologies. Prepare reports and presentations on model performance and project outcomes.

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

We are a pioneering company dedicated to Revolutionizing autism with AI-driven solutions. Role: Develop AI models using Python and TensorFlow Implement machine learning algorithms Collaborate with data scientists to enhance AI systems Required Candidate profile Optimize AI solutions for performance Integrate AI with business applications Stay updated on AI advancements.

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.