845 Preprocess Jobs - Page 7

SETV HEALTHCARE TECHNOLOGY PRIVATE LIMITED Position: Artificial Intelligence (AI) Intern Location: Hybrid Employment Type: Internship (leading to Part-Time Opportunity) Duration: 3 Months Unpaid; Performance-Based conversions with stipend for part time from 4th Month (₹5,000 – ₹15,000/month) Working Hours: 5 hours/day + 1 hour lunch/dinner break Shift Options: 7:00 PM – 1:00 AM (IST) Company Description: SETV.W , a flagship division of SETV Global , is transforming healthcare through the power of Artificial Intelligence. We develop real-world AI solutions that empower clinicians, enhance diagnostics, and bridge gaps in access and quality of care. We are seeking curious, driven, and technically strong individuals to help build the next generation of medical AI systems. Duties and Responsibilities Research, design, and implement machine learning and deep learning models for image, video, text, and multi-modal healthcare data. Work on real-world healthcare datasets including medical imaging (CT, MRI, ultrasound), tabular clinical data, and electronic health records. Preprocess, clean, and annotate data using tools like NumPy, OpenCV, and Pandas. Train, fine-tune, and evaluate models using TensorFlow, PyTorch, Hugging Face Transformers, or ONNX. To work with LLMs and agents Collaborate with web, DevOps, and UI/UX teams for seamless AI model integration. Build and document modular AI pipelines using tools like MLflow, FastAPI, or Flask. Contribute to performance benchmarking, error analysis, and model explain ability (e.g., Grad-CAM, SHAP, LIME). Conduct literature reviews and propose innovative enhancements to existing models. Support deployment of models in production and edge environments (via TorchScript, TFLite, ONNX, etc.). Maintain version-controlled notebooks and adhere to reproducible ML practices. Requirements Strong understanding of ML/DL algorithms (CNNs, RNNs, Transformers, etc.). Experience with at least one deep learning framework (PyTorch, TensorFlow, or Keras). Solid Python programming skills and hands-on knowledge of data science libraries (NumPy, Pandas, Scikit-learn). Familiarity with real-world datasets and domain challenges in computer vision or NLP. Good grasp of evaluation metrics (Accuracy, F1-score, AUC, IoU, Dice, etc.). Exposure to model deployment, containerization (Docker), or API integration is a plus. Strong problem-solving skills and ability to work independently on research problems. Preferred Skills (Bonus): Experience with healthcare-specific AI tasks (segmentation, detection, classification, triage). Familiarity with DICOM/NIfTI data formats and libraries like MONAI or SimpleITK. Knowledge of Hugging Face, LangChain, or OpenAI API. Understanding of edge deployment strategies (NVIDIA Jetson, Coral, etc.). Research exposure (published papers, blog posts, or GitHub contributions). Qualifications: Education: Currently pursuing or recently completed a Bachelor's or Master’s degree or PHD in Computer Science, Data Science, AI, Biomedical Engineering, or a related field. Portfolio: Strong GitHub profile, Kaggle experience, or AI project portfolio required. Domain Knowledge: Awareness of medical AI standards (HIPAA, FDA guidelines) is an advantage. Selection Process (3 Rounds): Resume Screening – Based on portfolio, skills, and relevance. Technical Interview – Problem-solving, ML concepts, and project discussion. Founding Office Interview(Optional) – Strategic thinking, innovation mindset, and cultural alignment. What We Offer: Real-World Impact: Work on AI models that improve healthcare outcomes. Mentorship: Get guidance from leading experts in AI and medical tech. Career Growth: Opportunity for conversion to a paid part-time role and optional full time opportunities. Flexible Remote Work: Structured hours that support learning and productivity. Recognition: Performance-based incentives and loyalty rewards.

Description year Of exp- 6 to 10 Years Location- Noida, Pune, Bangalore, Nagpur Requirements Job Requirements: 6+ years of experience in a Data Scientist role Strong analytic skills related to working with unstructured datasets. Strong understanding of statistical methods and hypothesis testing. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Experience supporting and working with cross-functional teams in a dynamic environment. Required Skills: Programming Languages: Proficiency in Python API / Framework: Hands-on experience with PySpark Data Manipulation: Strong experience with libraries like pandas, NumPy, dplyr, etc. Machine Learning: Hands-on experience with ML algorithms (regression, classification, clustering, etc.) Machine learning Models: Experience developing and tuning machine learning models such as Random Forest, Support Vector Machines (SVM), Natural Language Processing (NLP) techniques Cloud: Hands-on experience with AWS services for data science and ML, including S3 and EC2 Orchestration tool: Experience with orchestration tools like Luigi to manage data pipelines or ML workflows. Statistical Analysis: Solid foundation in probability, statistics, hypothesis testing, and experimental design (e.g., A/B testing). Data Visualization: Experience with visualization tools such Tableau, or Power BI. SQL & Databases: Ability to write complex SQL queries; familiarity with relational databases (PostgreSQL, MySQL, etc.). CICD: Experience with CI/CD practices and tools (GitHub) for automating data workflows and model deployments. Other Tool: Proficient in Microsoft Excel for exploratory data analysis, reporting, and data validation. Soft Skills: – Strong problem-solving and critical thinking abilities. – Excellent communication skills to explain technical concepts to non-technical stakeholders. – Ability to work independently and collaboratively in a fast-paced, agile environment. – Detail-oriented, with a focus on data quality and accuracy. Good To have: Domain Knowledge. Job responsibilities Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions. Monitor model performance and retrain as needed to ensure accuracy and reliability. Collect, clean, and preprocess large datasets from various sources. Develop statistical models and machine learning algorithms to solve business problems. Stay updated with the latest industry trends, tools, and technologies. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Responsibilities Assist in designing and developing machine learning and deep learning models using Python Clean, preprocess, and analyze large datasets (both structured and unstructured) Train and evaluate models using libraries like PyTorch or TensorFlow Contribute to internal research, model benchmarking, and experimentation Document experiments, code, and results for reproducibility and collaboration Qualifications Skills Qualifications Strong foundation in Python programming Understanding of core machine learning algorithms and concepts (e.g., regression, classification) Familiarity with deep learning techniques and neural networks Experience with ML/DL libraries and tools: scikit-learn, pandas, NumPy, PyTorch, or TensorFlow Education Currently Pursuing Or Recently Completed B.Tech in Computer Science or related fields from IITs only, or Master’s in Computer Science, Data Science, AI, or related fields from a recognized institution Additional Information Bonus Points Participation in ML competitions or contributions to ML research Interest or experience in Natural Language Processing (NLP), Computer Vision, or MLOps Exposure to climate or geospatial datasets What We Offer Join a small, ambitious, and international team and enjoy the following benefits: Mentorship from a cross-functional, impact-driven team Opportunity to work on real-world, scalable AI systems tackling climate change A collaborative and creative work environment

Job Title: Machine Learning Engineer Location: Greater Kailash, Delhi Industry: Business Services Job Type: Full-Time Gender Preference: Male Only Salary: ₹40,000 – ₹80,000 per month Working Hours: 9:30 AM to 6:30 PM Job Description: We are seeking a skilled and passionate Machine Learning Engineer to join a leading Business Services company located in Greater Kailash, Delhi. The ideal candidate will have a strong background in machine learning algorithms, data science, and programming, and be capable of building scalable AI solutions for business applications. Key Responsibilities: Develop, test, and deploy machine learning models to solve real-world business problems. Collaborate with data engineers and analysts to gather and preprocess data. Research and implement appropriate ML algorithms and tools. Optimize models for performance, scalability, and accuracy. Maintain and improve existing ML pipelines. Interpret model results and provide actionable insights to the team. Requirements: Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Proven experience as a Machine Learning Engineer or similar role. Proficient in Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and attention to detail. Perks: Competitive salary Exposure to real-world business challenges Collaborative and growth-oriented work culture Apply Now: Send your updated CV to: giridharplacementservice@gmail.com Contact: @ 7290884556 Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Key Responsibilities: Develop, train, and evaluate machine learning models for business use cases. Preprocess and analyze structured and unstructured data. Implement end-to-end ML workflows — from data collection to model deployment. Collaborate with cross-functional teams to understand project requirements and deliver data-driven insights. Stay updated with new trends, tools, and best practices in AI and machine learning. Document experiments, models, and performance metrics clearly and accurately. Required Skills: Bachelor’s degree in Computer Science, Data Science, or related technical field. 1 year of hands-on experience in building ML models using Python. Familiarity with ML libraries and frameworks such as Scikit-learn, Pandas, NumPy, Matplotlib, and TensorFlow or PyTorch. Experience with basic data preprocessing, feature engineering, and EDA. Understanding of key algorithms like regression, classification, clustering, and decision trees. Ability to write clean, efficient, and well-documented code. Preferred: Familiarity with cloud services like AWS, GCP, or Azure. Experience with projects or internships in AI/ML or data science. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Work Location: In person

Job Description We are seeking an AI Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in artificial intelligence, with a proven track record of developing scalable AI solutions. Roles & Responsibilities for AI Developer Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Integrate third-party AI APIs (e.g., OpenAI, Dialogflow, Azure AI, Google Cloud AI) into web or software applications. Develop intelligent workflows, chatbots, and automation systems based on predefined logic. Build and test AI chat interfaces or recommendation flows using no-code/low-code AI platforms where needed. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to create high-quality datasets. Stay up-to-date with the latest trends and developments in the field of AI/ML. Mentor and guide developers, providing technical expertise and fostering a culture of continuous learning and improvement. Skills for AI Developer Bachelor’s in Computer Science, IT, or related field. 1–2 years of experience in web/software development with AI integration and Strong programming skills in Python. Basic understanding of NLP and AI automation tools. Excellent problem-solving and analytical skills. Working knowledge of JavaScript, Python, React.JS or Node.js (preferred). Ability to work independently and as part of a team. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD. Experience working in Agile development methodologies is a plus.

Job description Job Title: L3 SDE (AI/ML) Location: Arjan Garh, MG Road (Delhi) Job Type: Full-Time, On site Salary: Rs.30,000- 70,000 No. of Openings: 10 **IMMEDIATE JOINERS REQUIRED** About Us: Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning. Key Responsibilities: * Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems. * Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance. * Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models. * Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows. * Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities. * Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality. * Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies. Required Qualifications and Experience: * Education: B.tech or M.tech or MCA or Bachelor’s or master's degree in Artificial intelligence, computer science or Data Analyst or related fields. * Experience: 1 year of AI/ML development, with a proven track record of deploying AI solutions in a production environment. *IMMEDIATE JOINERS REQUIRED* Technical Skills requirement: Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras). Strong knowledge of machine learning algorithms, neural networks, and natural language processing (NLP). Experience in integrating AI based solutions with web frameworks like Django, Flask. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team. Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. How to Apply: Drop your resume at hr@timbletech.com with Current Notice, Current CTC, Expected CTC

Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Specialist Senior As Specialist Senior at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Good interpersonal and communication skills Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries. Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302207

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Specialist Senior As Specialist Senior at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Good interpersonal and communication skills Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries. Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving : Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability : Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership : Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen : Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302207

Key Responsibilities: · Design, develop, and deploy AI/ML models and algorithms. · Collaborate with cross-functional teams (data scientists, engineers, product managers) to identify opportunities for AI integration. · Optimize machine learning pipelines for performance and scalability. · Collect, clean, and preprocess large datasets for training and inference. · Conduct model evaluation, A/B testing, and continuous improvements. · Implement deep learning, NLP, computer vision, or generative AI solutions as needed. · Stay up-to-date with the latest AI research, tools, and best practices. · Ensure responsible AI development, addressing ethical, fairness, and bias concerns. Required Qualifications: · Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field. PhD is a plus. · 2+ years of experience in AI/ML development (for mid-level roles). · Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). · Strong understanding of machine learning algorithms, data structures, and statistical modeling. · Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. · Familiarity with version control, containerization (Docker), and CI/CD pipelines. Preferred Qualifications: · Experience in NLP, computer vision, LLMs, or generative AI. · Knowledge of data engineering tools (Spark, Hadoop, Airflow). · Contributions to open-source AI projects or research publications. · Strong problem-solving, communication, and teamwork skills. Location: Chennai E-mail: hr@wethreee.com

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job Qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.

MinutestoSeconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions. We would love the opportunity to work with YOU!! Requirements JD: About the Role: We are looking for a highly motivated and innovative AI/ML Engineer to join our growing team. You will play a key role in designing, developing, and deploying machine learning models and AI-driven solutions that solve real-world business problems. This is a hands-on role requiring a deep understanding of ML algorithms, data preprocessing, model optimization, and scalable deployment. Key Responsibilities: Design and implement scalable ML solutions for classification, regression, clustering, and recommendation use cases Collaborate with data scientists, engineers, and product teams to translate business requirements into ML use cases Preprocess large datasets using Python, SQL, and modern ETL tools Train, validate, and optimize machine learning and deep learning models Deploy models using MLOps best practices (CI/CD, model monitoring, versioning) Continuously improve model performance and integrate feedback loops Research and experiment with the latest in AI/ML trends, including GenAI, LLMs, and transformers Document models and solutions for reproducibility and compliance Required Skills: Strong proficiency in Python, with hands-on experience in NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc. Solid understanding of supervised and unsupervised learning, NLP, and time-series forecasting Experience with cloud platforms such as AWS, GCP, or Azure (preferred: SageMaker, Vertex AI, or Azure ML Studio) Familiarity with Docker, Kubernetes, and MLOps practices Proficient in writing efficient and production-grade code Excellent problem-solving and critical-thinking skills Good to Have: Experience with LLMs, Generative AI, or OpenAI APIs Exposure to big data frameworks like Spark or Hadoop Knowledge of feature stores, data versioning tools (like DVC or MLflow) Published work, research papers, or contributions to open-source ML projects

Job Description We are seeking an AI Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in artificial intelligence, with a proven track record of developing scalable AI solutions. Roles & Responsibilities for AI Developer Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Integrate third-party AI APIs (e.g., OpenAI, Dialogflow, Azure AI, Google Cloud AI) into web or software applications. Develop intelligent workflows, chatbots, and automation systems based on predefined logic. Build and test AI chat interfaces or recommendation flows using no-code/low-code AI platforms where needed. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Collect, clean, and preprocess data from various sources to create high-quality datasets. Stay up-to-date with the latest trends and developments in the field of AI/ML. Mentor and guide developers, providing technical expertise and fostering a culture of continuous learning and improvement. Skills for AI Developer Bachelor’s in Computer Science, IT, or related field. 1–2 years of experience in web/software development with AI integration and Strong programming skills in Python. Basic understanding of NLP and AI automation tools. Excellent problem-solving and analytical skills. Working knowledge of JavaScript, Python, React.JS or Node.js (preferred). Ability to work independently and as part of a team. Knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD. Experience working in Agile development methodologies is a plus.

Job Title: Machine Learning Engineer Location: Greater Kailash, Delhi Industry: Business Services Job Type: Full-Time Gender Preference: Male Only Salary: ₹40,000 – ₹80,000 per month Working Hours: 9:30 AM to 6:30 PM Job Description: We are seeking a skilled and passionate Machine Learning Engineer to join a leading Business Services company located in Greater Kailash, Delhi. The ideal candidate will have a strong background in machine learning algorithms, data science, and programming, and be capable of building scalable AI solutions for business applications. Key Responsibilities: Develop, test, and deploy machine learning models to solve real-world business problems. Collaborate with data engineers and analysts to gather and preprocess data. Research and implement appropriate ML algorithms and tools. Optimize models for performance, scalability, and accuracy. Maintain and improve existing ML pipelines. Interpret model results and provide actionable insights to the team. Requirements: Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. Proven experience as a Machine Learning Engineer or similar role. Proficient in Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and attention to detail. Perks: Competitive salary Exposure to real-world business challenges Collaborative and growth-oriented work culture Apply Now: Send your updated CV to: giridharplacementservice@gmail.com Contact: @ 7290884556 Job Type: Full-time Pay: ₹40,000.00 - ₹80,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Title: Data Scientist Experience: 2 to 4 Years Location: Delhi/NCR Industry: Information Technology & Services Employment Type: Full-time About the Role: We are looking for a passionate and results-driven Data Scientist to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis and visualize patterns and trends. Build and validate machine learning and statistical models. Translate business problems into data science problems and solutions. Communicate findings through reports, dashboards, and visualizations. Collaborate with engineering and product teams to deploy data-driven solutions. Stay updated with the latest tools, technologies, and industry trends. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 2 to 4 years of industry experience in data science, machine learning, or applied statistics. Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.). Solid understanding of supervised and unsupervised ML algorithms. Experience with SQL and data querying from relational databases. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus. Exposure to model deployment and MLOps practices is desirable. Strong analytical thinking and problem-solving skills. Good communication and team collaboration abilities. Nice to Have: Experience with NLP, computer vision, or time-series analysis. Knowledge of Big Data tools (Spark, Hadoop). Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).

Experience: 3+Years Work type: Remote MCP is Mandatory Seeking an Agentic AI Application Developer with Python expertise and MCP (Model Context Protocol) knowledge to design, develop, and deploy advanced AI systems. Collaborate with teams to create scalable, ethical AI solutions. Key Responsibilities: ⦁ Build and implement AI applications using Python and FastAPI ⦁ Collect, preprocess, and analyze datasets for model training. ⦁ Integrate AI models with MCP frameworks (Azure AutoGen) for automation or app control (e.g., via MCP servers). ⦁ Collaborate with data scientists and engineers to meet business requirements. - Write clean, maintainable Python code, ensuring ethical and compliant AI solution

About the Role: We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques, building custom algorithms, and conducting exploratory data analysis, with a strong focus on aviation safety and operational excellence. Key Responsibilities: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Required Qualifications & Experience: Educational Background: Bachelor’s degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience: Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills: Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Why Join Us? Contribute to cutting-edge data science initiatives in the aviation safety domain. Work in a collaborative and innovation-driven environment. Be part of a mission-critical team focused on predictive safety and operational excellence. Job Types: Full-time, Permanent Pay: Up to ₹4,000,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Work Location: In person

Job Description Summary The Data Scientist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. The candidate will be responsible for executing data science projects under limited guidance from senior members to deliver business outcomes. This role requires a good technical background, strong problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview Understand business problems and implement Data Science solutions. Design, develop, and implement machine learning and artificial intelligence models and algorithms. Understand various business processes pertaining to Analytics Development Process Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models. Ensure data quality and integrity throughout the data pipeline. Conduct experiments to develop model and evaluate model performance and iterate on model improvements. Under the guidance of senior members, work with Data Engineering teams to deploy data science models into production environments. Monitor and maintain deployed models to ensure they perform as expected. Under the guidance of senior members, work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions. Optimize machine learning models for performance, scalability, and efficiency. Be aware of latest advancements in machine learning and artificial intelligence. Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the team's capabilities. Maintain comprehensive documentation of machine learning models, algorithms, and processes. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications Masters or PhD degree in Statistics, Machine Learning, Computer Science or related STEM fields (Science, Technology, Engineering and Math) with analytics development experience Proficiency in Python (mandatory). Familiarity with Python web frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Preferred Qualifications Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART / SVM / RF / Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship. About Optimspace.in Optimspace.in provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities Design, test, and optimize machine learning models. Analyze and preprocess datasets. Develop algorithms and predictive models. Use tools like TensorFlow, PyTorch, and Scikit-learn. Document findings and create reports. Requirements Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field). Knowledge of machine learning concepts and algorithms. Proficiency in Python or R (preferred). Strong analytical and teamwork skills. Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid). Hands-on machine learning experience. Internship Certificate & Letter of Recommendation. Real-world project contributions for your portfolio. How to Apply 📩 Submit your application with "Machine Learning Intern Application" as the subject. 📅 Deadline: 11th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 11th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 11th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 11th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Job Summary We are looking for a skilled and passionate AI/ML Engineer to join our team and contribute to designing, developing, and deploying scalable machine learning models and AI solutions. The ideal candidate will have hands-on experience with data preprocessing, model building, evaluation, and deployment, with a strong foundation in mathematics, statistics, and software development. Key Responsibilities Design and implement machine learning models to solve business problems. Collect, preprocess, and analyze large datasets from various sources. Build, test, and optimize models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Deploy ML models using cloud services (AWS, Azure, GCP) or edge platforms. Collaborate with data engineers, data scientists, and product teams. Monitor model performance and retrain models as necessary. Stay up to date with the latest research and advancements in AI/ML. Create documentation and reports to communicate findings and model Skills & Qualifications : Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, or related field. 2+ years of hands-on experience in building and deploying ML models. Proficiency in Python (preferred), R, or similar languages. Experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost. Strong grasp of statistics, probability, and algorithms. Familiarity with data engineering tools (e.g., Pandas, Spark, SQL). Experience in model deployment (Docker, Flask, FastAPI, MLflow, etc.). Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, GCP AI Platform). (ref:hirist.tech)

Job Title: Healthcare Analytics Specialist Experience Required - 3 To 5 Years Location-Gurugram(Hybrid) Position Summary The Analytics Specialist is responsible for driving insights & supporting decision-making by analyzing healthcare payer data, creating data pipelines, and managing complex analytics projects. This role involves collaborating with cross-functional teams (Operations, Product, IT, and external partners) to ensure robust data integration, reporting, and advanced analytics capabilities. The ideal candidate will have strong technical skills, payer domain expertise, and the ability to manage 3rd-party data sources effectively. Key Responsibilities Data Integration and ETL Pipelines Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and loading of internal and external data sources. Collaborate with Operations to design scalable, secure, and high-performing data workflows. Implement best practices in data governance, version control, data security, and documentation. Analytics and Reporting Data Analysis: Analyze CPT-level data to identify trends, patterns, and insights relevant to healthcare services and payer rates. Build and maintain analytical models for cost, quality, and utilization metrics, leveraging tools such as Python, R, or SQL-based BI tools. Develop reports to communicate findings to stakeholders across the organization. 3rd-Party Data Management Ingest and preprocess multiple 3rd party data from multiple sources and transform it into unified structures for analytics and reporting Ensure compliance with transparency requirements and enable downstream analytics. Design automated workflows to update and validate data, working closely with external vendors and technical teams. Establish best practices for data quality checks (e.g., encounter completeness, claim-level validations) and troubleshooting. Quality Assurance and Compliance Ensure data quality by implementing validation checks, audits, and anomaly detection frameworks. Maintain compliance with HIPAA, HITECH, and other relevant healthcare regulations and data privacy requirements. Participate in internal and external audits of data processes. Continuous Improvement & Thought Leadership Stay current with industry trends, analytics tools, and regulatory changes affecting payer analytics. Identify opportunities to enhance existing data processes, adopt new technologies, and promote data-driven culture within the organization. Mentor junior analysts and share best practices in data analytics, reporting, and pipeline development. Required Qualifications Education & Experience Bachelor’s degree in health informatics, Data Science, Computer Science, Statistics, or a related field (master's degree a plus). 3-5+ years of experience in healthcare analytics, payer operations, or related fields. Technical Skills Data Integration & ETL: Proficiency in building data pipelines using tools like SQL, Python, R, or ETL platforms (e.g., Talend, Airflow, or Data Factory). Databases & Cloud: Experience working with relational databases (SQL Server, PostgreSQL) and cloud environments (AWS, Azure, GCP). BI & Visualization: Familiarity with BI tools (Tableau, Power BI, Looker) for dashboard creation and data storytelling. MRF, All Claims, & Definitive Healthcare Data: Hands-on experience (or strong familiarity) with healthcare transparency data sets, claims data ingestion strategies, and provider/facility-level data from 3rd-party sources like Definitive Healthcare. Healthcare Domain Expertise Strong understanding of claims data structures (UB-04, CMS-1500), coding systems (ICD, CPT, HCPCS), and payer processes. Knowledge of healthcare regulations (HIPAA, HITECH, transparency rules) and how they impact data sharing and management. Analytical & Problem-Solving Skills Proven ability to synthesize large datasets, pinpoint issues, and recommend data-driven solutions. Comfort with statistical analysis and predictive modeling using Python or R. Soft Skills Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders. Strong project management and organizational skills, with the ability to handle multiple tasks and meet deadlines. Collaborative mindset and willingness to work cross-functionally to achieve shared objectives. Preferred/Additional Qualifications Advanced degrees (MBA, MPH, MS in Analytics, or similar). Experience with healthcare cost transparency regulations and handling MRF data specifically for compliance. Familiarity with DataOps or DevOps practices to automate and streamline data pipelines. Certification in BI or data engineering (e.g., Microsoft Certified: Azure Data Engineer. Experience establishing data stewardship programs & leading data governance initiatives. Why Join Us? Impactful Work – Play a key role in leveraging payer data to reduce costs, improve quality, and shape population health strategies. Innovation – Collaborate on advanced analytics projects using state-of-the-art tools and platforms. Growth Opportunity – Be part of an expanding analytics team where you can lead initiatives, mentor others, and deepen your healthcare data expertise. Supportive Culture – Work in an environment that values open communication, knowledge sharing, and continuous learning. Powered by JazzHR llxBL5iYmF