4708 Numpy Jobs - Page 36

Job Title: ML Engineer/Data Scientist Duration: 12 Months Location: PAN INDIA Timings: Full Time (As per company timings) Notice Period: within 15 days or immediate joiner Experience: 0- 2 years About The Job We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What We're Looking For At least 1-2 years of experience in designing & building AI applications for customer and deploying them into production At least 1-2 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.

Python libraries and frameworks such as FastAPI, Pandas, NumPy, Pydicom. Frontend dev skills with proficiency in JavaScript, React, and TypeScript Strong experience in Python, Flask, HTML.

Join our Team About this opportunity: We are seeking an experienced Senior Backend Engineer to join our Intelligent Automation and AI engineering team. This role is critical to driving the development of scalable backend systems that enable the enterprise-wide adoption of Generative AI solutions. The ideal candidate will bring strong technical expertise in API orchestration, data engineering, and memory optimization, coupled with a passion for operationalizing AI at scale across business functions. As a key member, you will design and build backend frameworks that power intelligent agents, streamline workflows, and unlock value for diverse business units. What you will do: Architect and develop robust backend systems to enable enterprise AI solutions across finance, operations, HR, and customer support functions. Design and implement data preprocessing and chunking pipelines to ensure efficient use of Large Language Models (LLMs) and cost optimization. Integrate vector databases and relational databases to support hybrid memory architectures for AI agents. Develop API orchestration layers leveraging e.g. LangChain, FastAPI/Django, and enterprise-grade middleware tools. Collaborate with business domain leaders to understand functional requirements and design domain-aware memory strategies for AI-powered workflows. Implement caching, validation, and summarization strategies to deliver accurate, cost-effective, and scalable AI solutions. Ensure secure, reliable integration of AI systems with internal enterprise platforms via REST/SOAP APIs. Document architectural blueprints, technical specifications, and operational workflows for enterprise-wide adoption. Stay ahead of trends in Generative AI and backend engineering to support enterprise transformation objectives. The skills you bring: 8-10 Years of experience. Technical Expertise: Proven experience designing and delivering backend solutions for AI/ML applications at scale. Python Proficiency: Strong hands-on skills with Python (Pandas, Numpy) for data engineering and validation workflows. API Orchestration: Expertise in developing and managing APIs (FastAPI, Django) and orchestrating workflows. Data Management: Experience with vector databases and relational databases LLM Integration: Working knowledge of cloud-based LLM APIs (Claude, OpenAI, Hugging Face) and memory optimization techniques. Enterprise Mindset: Ability to work within large, complex organizations, balancing innovation with operational stability and security requirements. Collaboration: Strong interpersonal skills to work with cross-functional business and IT teams in a transformation context. Preferred: Exposure to agentic AI architectures and designing token-efficient AI workflows for enterprise use cases. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 769360

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

We’re looking for a hands-on and visionary AI Lead to spearhead our AI initiatives across domains like NLP, computer vision, generative AI, recommendation systems, and predictive analytics. You’ll lead a focused team (Data Scientist, ML Engineer, Intern) and be directly involved in building, deploying, and integrating AI solutions into real-world AEC workflows. Key Responsibilities Lead AI strategy, research, and deployment aligned with business goals Build models for NLP, CV, generative AI, and intelligent automation Collaborate cross-functionally to embed AI into products and operations Mentor a small AI/ML team Ensure ethical AI practices and data governance compliance Required Skills & Experience Education: BE/BTech or ME/MTech in Computer Science, Data Science, AI, or related field Certifications in AI/ML, cloud AI platforms, or responsible AI practices (preferred) Technical Skills : 4–5 years in AI/ML roles with strong Python skills Experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, and NLP tools Knowledge of FastAPI/Flask, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) Proficiency in Pandas, NumPy, SQL, and visualization tools Exposure to AEC/design domains is a plus Knowledge of SQL and NoSQL databases; BI tools like Power BI or Tableau Strong communication and leadership skills Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period ? Location: Mumbai, Maharashtra (Required) Work Location: In person

Job Title: AI/ML Trainer Company: CBitss Technologies Location: Sec 34A, Chd Experience Required: Minimum 2 Years Joining: Immediate Note: Freshers/College passout are not eligible for this role. Job Description: CBitss – A Govt. Recognised Institute in Chandigarh is looking for a passionate and experienced AI/ML Trainer to join our team immediately. The ideal candidate will have a strong background in Artificial Intelligence and Machine Learning, with a proven track record of training professionals or students in these domains. This role requires both technical expertise and excellent communication skills to deliver hands-on, engaging training sessions. Key Responsibilities: Deliver classroom and/or online training sessions on AI/ML concepts and tools. Develop course content, training materials, projects, and assessments. Guide students through practical hands-on projects using Python, ML libraries (NumPy, Pandas, Scikit-learn, etc.), and AI frameworks (TensorFlow, Keras, PyTorch). Stay updated with the latest trends and advancements in AI/ML technologies. Provide mentorship and support to students during and after training. Conduct evaluations to assess student performance and provide feedback. Customize training modules as per industry and learner needs. Required Skills & Qualifications: Minimum 2 years of industry or academic experience in AI/ML. Strong knowledge of Python and its data science libraries. Hands-on experience with machine learning algorithms, deep learning, and model deployment. Familiarity with tools such as Jupyter Notebook, Google Colab, TensorFlow, Keras, PyTorch. Experience in training or mentoring students/professionals in AI/ML. Excellent communication, presentation, and interpersonal skills. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. #AITrainer #MLTrainer #DataScienceTrainer #PythonTrainer #ArtificialIntelligence #MachineLearning #HiringNow #JobOpening #TrainerJobs #TechJobs #AIJobs #MLJobs #ImmediateJoiner Job Type: Full-time Pay: ₹25,706.34 - ₹50,082.75 per month Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Leave encashment Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: AI/ML: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

We are hiring Python Developer wit AI Key Responsibilities: ● Utilize Python to build and sustain software applications with a strong focus on AI and machine learning. ● Ensure performance, usability, and scalability in AI applications by leveraging advanced Python techniques. ● Identify and resolve issues to maintain low latency and high availability in AI systems. ● Participate in and conduct code reviews, providing constructive feedback on software design and architecture. ● Work with cross-functional teams to define project requirements and scope, ensuring alignment with AI objectives. ● Apply your expertise in AI libraries and frameworks like langchain, openai, llamaIndex, Pandas, Numpy, or similar tools. ● Work with Large Language Models such as GPT-4, Llama and Vector databases like Pinecone, chromadb, FAISS. ● Integrate Python applications with databases, ensuring efficient data storage and retrieval. ● Utilize Amazon Web Services (AWS) for deploying and managing cloud-based AI applications. ● Utilize robust analytical and problem-solving abilities to tackle complex AI challenges. ● Exhibit excellent communication and teamwork skills to collaborate effectively within the team and with stakeholders Key Requirements: ● Degree in Computer Science, Engineering, or a related field. ● Minimum 6 years of relevant experience is a must. ● Proven experience as a Python Developer, with a focus on AI and machine learning projects. ● Strong knowledge of Django, Flask, or similar Python frameworks, with an emphasis on AI integration. ● Proficient in integrating Python applications with databases. ● Experience with Amazon Web Services (AWS) for cloud-based solutions. ● Familiarity with large language model (LLM) frameworks for AI development. ● Familiarity in concepts such as data chunking, embedding, and various similarity search approaches like cosine similarity.

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: • Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies • Driving the technical discussions with clients along with Project Managers. • Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team • Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. • Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. • Mentoring and coaching junior Python/AI/ML engineers. • Sharing knowledge through knowledge-sharing technical presentations. • Implement new Python/AI features with high quality coding standards. Must-To Have: • B.Tech/B.E. in computer science, IT, Data Science, ML or related field. • Strong proficiency in Python programming language. • Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. • Proficient in Debugging and Exception Handling • Professional experience in developing and operating AI systems in production. • Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) • Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. • Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. • Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. • Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). • Experience in working in Agile methodology Good-To Have: • A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. • Python framework (Django/Flask/Fast API) & API integration. • AI/ML/DL/MLOops certification done by AWS. • Experience with OpenAI API. • Good in Japanese Language

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Experience level: 8 years to 13 years Base locations: Bangalore and Chennai Mode of work: Remote Description: We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will have experience with FastAPI, PostgreSQL, and AWS microservices. Familiarity with CI/CD processes, GitHub, Docker, and Poetry is a plus. Responsibilities: Develop and maintain web applications using Python and FastAPI. Solid understanding of Python class structure and object-oriented programming (OOP) principles. Design and manage PostgreSQL databases. Implement and manage AWS microservices including Lambda, ECS, EKS, and RDS. Collaborate with the team to design and implement CI/CD pipelines using GitHub and Docker. Utilize Poetry for dependency management and packaging. Work closely with cross-functional teams to ensure seamless integration and delivery of projects. Participate in team meetings and contribute to project planning and decision-making. Experience with Python libraries and tools such as NumPy, Pandas, Psycopg, or SQLAlchemy is a plus. Requirements: Proven experience as a Python Developer. Strong knowledge of FastAPI. Experience with PostgreSQL databases. Hands-on experience with AWS microservices (Lambda, ECS, EKS, RDS). Familiarity with CI/CD processes and tools (GitHub, Docker). Knowledge of Poetry is a plus. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills and a collaborative mindset.

Location: Cyber Towers, Hyderabad & Vijayawada 🏢 Company: Datavalley India Private Limited 📅 Type: Full-Time (Immediate Joiner) 🎓 Education: B.Tech in Computer Science, Data Science, Artificial Intelligence, or related branches 🧪 Experience: 1 - 5 Years About Datavalley.ai: Datavalley.ai is a forward-thinking AI company revolutionizing industries through advanced Machine Learning and Deep Learning solutions. Based in Hyderabad’s tech core, Cyber Towers, we engineer scalable AI systems that transform raw data into powerful business intelligence. At Datavalley.ai, we train fresh minds into AI professionals who build with impact. Roles & Responsibilities: Design and implement Machine Learning and Deep Learning algorithms. Work on data preprocessing, feature engineering, and model evaluation. Build and deploy models using: - Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, SVM, K-Means, PCA - Deep Learning: ANN, CNN, RNN, LSTM, Transfer Learning (ResNet, VGG, BERT) - AI Applications: NLP, Computer Vision, Recommendation Systems Use Python and tools like Scikit-learn, TensorFlow, Keras, PyTorch. Collaborate with teams to deploy models using Flask, FastAPI, Streamlit. Skills Required: Strong programming skills in Python Experience with NumPy, Pandas, Matplotlib, Seaborn Knowledge of Scikit-learn, TensorFlow, Keras, PyTorch Understanding of model evaluation metrics (Accuracy, Precision, Recall, F1-score) Familiarity with SQL, basic knowledge of NoSQL (MongoDB) Comfortable with Jupyter/Colab, Git, and version control Basic exposure to Flask/FastAPI for deployment Qualifications: B.Tech in Computer Science, AI & ML, Data Science, or related disciplines Strong foundation in algorithms, mathematics, and statistics Ability to build, train, and evaluate ML/DL models Project or internship in AI/ML is preferred 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]

About the Role Overview: Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education!

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. Must-To Have: B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Work Location: In person Expected Start Date: 14/08/2025

Key Responsibilities: Develop and deploy machine learning and deep learning models Work on NLP, computer vision, or recommendation systems Optimize models for performance and scalability Stay updated with the latest AI research and trends Skills We’re Looking For: Strong Python programming skills Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Solid understanding of data preprocessing, model evaluation, and LOps Hands-on with tools like Pandas, NumPy, OpenCV, NLTK/spaCy Exposure to cloud platforms (AWS, GCP, Azure) is a plus Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Palarivattom, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Hello, Hope you are doing well. We are Hiring for the role of Sr. AI/ML/ Data Scientist role. Please revert me back with your updated resume at astha.jaiswal@techsciresearch.com if you are interested. Below are the details: Job Location: Noida Job Role: S r. AI/ML/ Data Scientist Overview: We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About the Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research discussions. Qualifications Required: Strong fundamentals in machine learning, deep learning, and natural language processing (NLP) . Proficiency in Python , with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closed- and open-source models) . Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex , etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs ), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch . Knowledge of prompt engineering , Retrieval-Augmented Generation (RAG) , and LLM evaluation strategies. Experience working with REST APIs , data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred: Familiarity with the chemical or energy industry , or prior experience in market research/analyst workflows . Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD) . Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone , or ChromaDB . Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst : ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. Website : https://www.chemanalyst.com/

Job Title: Data Scientist Job Location: Jaipur Experience: 2 to 5 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management s Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation s Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review s Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration s Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical s Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment s Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review s System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills s Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested candidate can share your cv or reference at sulabh.tailang@celebaltech.com

Job Information Date Opened 07/23/2025 Industry AEC Job Type Permanent Work Experience 3 - 5 Years City Mumbai State/Province Maharashtra Country India Zip/Postal Code 400093 About Us Axium Global (formerly XS CAD), established in 2002, is a UK-based MEP (M&E) and architectural design and BIM Information Technology Enabled Services (ITES) provider with an ISO 9001:2015 and ISO 27001:2022 certified Global Delivery Centre in Mumbai, India. With additional presence in the USA, Australia and UAE, our global reach allows us to provide services to customers with the added benefit of local knowledge and expertise. Axium Global is established as one of the leading pre-construction planning services companies in the UK and India, serving the building services (MEP), retail, homebuilder, architectural and construction sectors with high-quality MEP engineering design and BIM solutions. Job Description We are looking for a hands-on and visionary AI Lead to spearhead all AI initiatives within our organization. You will lead a focused team comprising 1 Data Scientist, 1 ML Engineer, and 1 Intern, while also being directly involved in designing and implementing AI solutions. The role involves identifying impactful AI use cases, conducting research, proposing tools and deploying AI models into production to enhance products, processes and user experiences. You will work across diverse domains such as NLP, computer vision, recommendation systems, predictive analytics and generative AI. The position also covers conversational AI, intelligent automation, and AI-assisted workflows for the AEC industry. A strong understanding of ethical and responsible AI practices is expected. Key Responsibilities: Lead AI research, tool evaluation and strategy aligned with business needs Build and deploy models for NLP, computer vision, generative AI, recommendation systems and time-series forecasting Guide the development of conversational AI, intelligent automation and design-specific AI tools Mentor and manage a small team of AI/ML professionals Collaborate with cross-functional teams to integrate AI into products and workflows. Ensure ethical use of AI and compliance with data governance standards. Oversee lifecycle of AI models from prototyping to deployment and monitoring. Qualifications and Experience Required: Educational Qualification: BE/BTech or ME/MTech degree in Computer Science, Data Science, Artificial Intelligence or related field Certifications in AI/ML, cloud AI platforms or responsible AI practices are a plus Technical Skills: 4–5 years of experience in AI/ML projects Strong programming skills in Python (must-have); R is a plus Experience with TensorFlow , PyTorch , Scikit-learn , OpenCV Familiarity with NLP tools like spaCy , NLTK and Hugging Face Transformers Backend integration using FastAPI or Flask Experience deploying models using Docker , Kubernetes and cloud services like AWS , GCP or Azure ML Use of MLflow , DVC for experiment tracking and model versioning Strong data handling with Pandas , NumPy , and visualization using Matplotlib , Seaborn Working knowledge of SQL , NoSQL and BI tools like Power BI or Tableau Preferred Exposure (Nice to Have): Familiarity with AEC , design workflows or other data-rich industries Experience collaborating with domain experts to frame and solve AI problems Leadership and Strategic Skills: Proven ability to lead small AI/ML teams. Strong communication and stakeholder management Familiarity with ethical AI principles and data privacy frameworks Ability to translate business problems into AI solutions and deliver results Compensation: The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate. What We Offer: A fulfilling working environment that is respectful and ethical A stable and progressive career opportunity State-of-the-art office infrastructure with the latest hardware and software for professional growth In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends. Culture of discussing and implementing a planned career growth path with team leaders Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

Experience: 5-8yrs Shift Timings: 10 AM to 7 PM IST Is Passport mandatory: Yes Job Location: Remote Please find below the Job Description for the Senior Python Developer role we are currently hiring for. We are looking for candidates with strong expertise in building robust data connectors and API integrations, especially with third-party HR platforms. This is a critical role with opportunities to lead development efforts and contribute to architectural design. Role: Senior Python Developer Job Summary We are looking for a Senior Python Developer with strong experience in building robust data connectors to integrate with various third-party platforms. This role is critical in designing and implementing OAuth-based integrations and scalable data ingestion pipelines in Python. You will lead the connector development efforts while optionally contributing to LLM integration, API services, and cloud deployment. Primary Responsibilities Design and develop standalone Python connectors to fetch and sync data from HR systems and third-party platforms such as Justworks, HiBob, Workday, Rippling, Velocity, BambooHR, UKG, etc. Implement secure OAuth2 authentication flows and manage API token lifecycles. Read and interpret API documentation to understand external systems and develop integration solutions. Collaborate with cross-functional teams to understand use cases and deliver reliable data access Skills : 5-8 years of Python development experience. Strong experience in building connectors/integrations with third-party APIs. Hands-on experience with OAuth2 and other authentication mechanisms. Ability to quickly understand API documentation and build efficient data fetching solutions. Familiarity with JSON, REST APIs, and best practices for secure and scalable data Skills (Optional) : Experience building REST APIs using FastAPI or Flask. Exposure to LLMs (Large Language Models) and frameworks like Hugging Face. Basic understanding of NumPy, PyTorch, or other AI/ML libraries. Familiarity with Amazon ECS or containerized deployment environments. Previous experience with HR/ERP platform integration. Knowledge of async programming (asyncio, aiohttp) for scalable connector performance. Why Join Us? Build integrations that unlock real-time business data across platforms. Work in a modern Python tech stack with the flexibility to explore AI/LLM initiatives. Opportunity to lead the connector architecture and design. (ref:hirist.tech)

Data Analyst (Machine Learning) Experience Level : 7+ years. Are you passionate about transforming raw data into actionable insights using advanced machine learning techniques? Were building a data-first culture where your work directly influences key business decisions. Were looking for a Data Analyst whos ready to bring innovation and precision to every data challenge. What Youll Do Design, build, and deploy machine learning models to predict customer behavior and forecast business metrics. Apply advanced statistical methods to large datasets to uncover meaningful trends and patterns. Create dynamic dashboards and reports using Power BI to inform strategic decision-making. Develop and manage data pipelines using Apache Airflow to ensure data integrity and model performance. Enhance internal datasets through API integration and Python scripting. Collaborate with cross-functional teams to solve business problems using data-driven approaches. What You Bring Bachelors or Masters degree in Statistics, Computer Science, Data Science, Economics, or a related field. Proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience in building ML models (regression, classification, time series). Strong understanding of statistical principles and predictive modeling. Hands-on experience with Power BI, Apache Airflow, SQL, and REST API integration. Nice To Have Experience with TensorFlow or PyTorch. Ability to clearly communicate technical findings to both technical and non-technical stakeholders. (ref:hirist.tech)

Technical Expertise Good understanding of the latest Python and Python Libraries In-depth knowledge and experience using Python, Django, Flask, React and Node Js Expertise in Python Libraries like Numpy, Pandas, Matplotlib, seaborn, Rasa, Rasa X etc. Expertise in Web services REST and SOAP Extensive knowledge in design, development and implementation of highly scalable and reliable micro services. Expert in front end technologies such as React, Angular, Java Script, HTML, CSS and bootstrap. Knowledge and experience in packaging and deploying containerized applications. Familiarity with DevOps tools such as docker, Kubernetes, git, Jenkins for CI/CD is required. Familiarity with build and development tools is expected. Familiarity with deploying the applications on Web servers/Application servers. Knowledge of Web Application Servers and MQ (Messaging Queue) technologies and Apache Kafka messaging. Experience with SQL and Non-SQL databases and ability to write complex SQL queries Experience in unit & integration testing Soft Skills Excellent written, verbal and communication skills Ability to write professional technical documentation. Able to actively follow progress and deliver information on a frequent basis (ref:hirist.tech)

As a Django Rest Framework Developer, you will be responsible for designing, developing, and maintaining backend APIs for a large-scale ERP system. Your role will involve architecting and implementing a microservices architecture, integrating PostgreSQL databases, implementing background tasks and scheduling using Celery, working with Kafka for messaging, utilizing Redis for caching, session management, and optimizing API performance, developing real-time communication features using Django Channels, managing data pipelines, writing clean, maintainable, and well-documented code, and collaborating with frontend teams, database administrators, and DevOps engineers. You should have at least 3 years of experience in backend development using Django and Django Rest Framework, a strong proficiency in Python, experience with microservices architecture, extensive knowledge of PostgreSQL or other relational databases, experience with handling asynchronous tasks and scheduling using Celery, familiarity with Kafka for building event-driven systems, expertise in Redis for caching and system performance improvement, hands-on experience with Django Channels for real-time communication, proficiency in Pandas and NumPy for data processing, manipulation, and analysis, familiarity with ERP systems and their modules, understanding of RESTful API design principles, security best practices, and scalability patterns, knowledge of Docker and containerized deployments, experience with version control systems like Git, strong problem-solving skills, experience with CI/CD pipelines, familiarity with Kubernetes, and knowledge of GraphQL for building flexible APIs. You should have the ability to reliably commute to Gurugram, Haryana, or plan to relocate before starting work. Additionally, you should have experience working on ERPs and leading backend teams or managing end-to-end backend projects. This is a full-time position with a fixed shift schedule and an in-person work location.,

We are seeking a skilled Python Developer to join our dynamic software development team at Orane. As a Python Developer, you will be responsible for developing robust, scalable applications and contributing to our data science and machine learning initiatives. Key Responsibilities: Design, develop, and maintain Python-based applications and systems Collaborate with cross-functional teams to analyze requirements and deliver solutions Write clean, efficient, and well-documented code following best practices Participate in code reviews and contribute to improving development processes Work on data science and machine learning projects using Python libraries Debug and troubleshoot applications to ensure optimal performance Stay updated with latest Python frameworks and technologies Required Skills: Minimum 5 years of professional Python development experience Strong proficiency in Python frameworks (Django, Flask, FastAPI) Experience with data science libraries (Pandas, NumPy, Scikit-learn) Knowledge of machine learning concepts and implementation Familiarity with databases (SQL and NoSQL) Understanding of version control systems (Git) Experience with RESTful API development Strong problem-solving and analytical skills Preferred Qualifications: Bachelor's degree in Computer Science or related field Experience with cloud platforms (AWS, Azure, GCP) Knowledge of containerization (Docker, Kubernetes) Familiarity with agile development methodologies Experience with data visualization tools Join our team and contribute to innovative projects while growing your career in a collaborative environment!

Job Description Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence (CoE) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts Master’s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Prior experience in research publications in reputed journal is a plus Skillset Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/28/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341751