4556 Numpy Jobs - Page 24

We’re Hiring Passionate Technical Trainers! Department : Training & Placement Designation: Python Trainer College : Sona College of Technology, Salem | Tamil Nadu Job Type: Full Time Qualifications: B.E. / B.Tech / M.E. / M.Tech in CS/IT or related disciplines Experience : 4+ years of training or software industry experience Job Description : We’re on the lookout for high-energy Technical Trainers who are experts in Data Structures & Algorithms (DSA) and active on competitive programming platforms like LeetCode, CodeChef, Codeforces, HackerRank, HackerEarth, etc. Expertise in Python + DSA with proven problem-solving on CodeChef, HackerEarth, Leetcode etc. Data libraries: Pandas, NumPy, Matplotlib Machine Learning: Scikit-learn, TensorFlow (basic level) Project work using Jupyter or Google Colab Bonus if you hold Google Data Analytics certification What We Expect the Trainers: Strong problem-solving ability in Data Structures & Algorithms Active participation and proof of practice in competitive coding platforms Excellent teaching and mentoring skills Up-to-date with current trends and tools in your domain Great communication skills and a passion for teaching Apply to : jobs@sonatech.ac.in Job Type: Full-time Pay: From ₹30,000.00 per month Work Location: In person

Job Type: Full Time Experience: 0 Month to 6 Months Type: Face to Face,Written Test Last Date: 21-Aug-2025 Posted on: 22-July-2025 Salary per month: Rs. 12000 - Rs. 15000 No. of vacancies: 6 Passout Year: 2024-2025 Highest qualification mark : 80% Education: BE/B.Tech Branch: BE/B.Tech-Computer Science & Engineering (CSE),BE/B.Tech-Electronics & Communication Engineering(ECE),BE/B.Tech-Information Science/Technology (IS/IT) Sublocation: Madhapur Skills: MicroSoft(MS)SQL,Artificial Intelligence,Python,Machine Learning Assist in developing Python-based applications and scripts supporting AI/ML workflows. Support model building and data analysis using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Clean and preprocess datasets for training and validation using best practices in data wrangling. Work under senior developers/data scientists to deploy, test, and validate ML models. Contribute to automation scripts and tools that optimize data pipelines and ML operations. Document code, algorithms, and workflows for internal and external use. Stay updated with emerging trends in Python development and machine learning frameworks. Participate in code reviews and team meetings, ensuring continuous learning and improvement. Good knowledge in SQL.

Location: Remote (Full-Time) Company: H To H Partners LLP Experience: 1–3 years CTC: ₹2.5 – ₹4.0 Lakhs annually (performance-linked growth possible) Openings: 2 About Us H To H Partners LLP is a proprietary trading firm actively engaged in high-frequency trading, portfolio automation, and long-term investing in Indian equity markets. We are building a robust tech-driven trading ecosystem and are looking for smart developers who can build and scale automation tools for our internal systems. Role Overview We are seeking 2 full-time developers who will take ownership of designing, building, and deploying stock market automation systems using APIs, analytics platforms, and real-time data feeds. Key Responsibilities • Develop and maintain automated portfolio tracking dashboards • Integrate with broker APIs (Zerodha Kite, Upstox, Alice Blue, etc.) for real-time data fetch, order execution, and MTF management • Design and implement screeners and technical signal systems (RSI, MACD, Volume Breakouts, etc.) • Build alert systems via Telegram/Email for trade signals • Set up backtesting frameworks for strategy evaluation • Deploy scalable backend systems for trade automation and logging • Collaborate with research and trading teams for custom feature builds Technical Skills Required • Strong in Python (including Pandas, NumPy, and API integration) • Experience with broker APIs (e.g., Zerodha Kite, AngelOne SmartAPI, etc.) • Familiarity with MongoDB / PostgreSQL • Knowledge of basic technical indicators • Good command of Git, cloud deployment (AWS/GCP optional) Bonus Skills (Nice to Have) • Experience with TradingView Webhooks / Pinescript • Telegram bot development • Web dashboards using Flask, Streamlit, or React Work Mode & Compensation Full-time, remote role 6-day work week Competitive monthly salary based on experience Performance-based incentives available Why Join Us? • Direct involvement in building India's next-gen proprietary trading infrastructure • Learn real-world applications of algo trading and quantitative research • Work closely with traders and strategists • Fast-paced, independent environment with ownership and learning To Apply Send your resume and GitHub/portfolio links to: info@growthguide.co.in

Roles & Responsibilities Qualifications and Skills: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities And Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. Experience 8-11 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

As a Data Scientist at our company located in Nagercoil, you will play a vital role in transforming raw data into valuable insights that will drive strategic decisions and enhance product enhancements. You should possess exceptional problem-solving abilities, proficiency in data science tools, and a strong enthusiasm for data manipulation. Your responsibilities will include analyzing both structured and unstructured data sets to identify patterns and trends, constructing predictive models and machine learning algorithms, collaborating with business teams to uncover data-driven opportunities, and effectively communicating findings through various mediums such as reports, dashboards, and visualizations. Additionally, you will be responsible for data cleaning, validation, preprocessing, developing A/B testing frameworks, and collaborating with software engineers and analysts to implement data-centric solutions. To excel in this role, you must have a solid foundation in Python or R for data analysis and machine learning, along with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL for data querying, familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn, and a good grasp of statistics, probability, and algorithms are also essential. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with big data tools like Hadoop or Spark would be advantageous, as well as knowledge of cloud platforms like AWS, Azure, or Google Cloud. This is a full-time, permanent position with a day shift schedule that requires in-person work at our Nagercoil location. Join us in leveraging the power of data to drive innovation and business success.,

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

Role : Data Scientist Experience : 4-8 Years Working Days : 5 Days Work Mode : Hybrid (One week work from office in a month) Location : Bangalore/Chennai Notice Period - Immediate or 15 days maximum Key Responsibilities Design and develop predictive and prescriptive models using real-time and simulation-based data. Apply advanced techniques in time-series analysis, Bayesian inference, and probabilistic forecasting. Build and train deep learning models using PyTorch or TensorFlow for dynamic and high-dimensional datasets. Leverage reinforcement learning (RL) concepts, particularly in multi-agent environments, to model complex decision-making problems. Collaborate with engineering and product teams to integrate models into production environments. Conduct trajectory prediction, anomaly detection, or behavior modeling in contexts such as vehicle movement or intelligent systems. Utilize domain-specific knowledge such as vehicle kinematics and intelligent transportation systems to inform model design. Skills And Experiences Required 3+ years of experience in applied data science, preferably in real-time or simulation-based environments. Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. Experience with time-series analysis, Bayesian models, or probabilistic forecasting. Understanding of reinforcement learning, especially multi-agent settings. Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems. (ref:hirist.tech)

Job Summary The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment. Key Responsibilities Develop and implement machine learning models using computer vision and PyTorch Collaborate with a team of data scientists and engineers to support the development of innovative solutions Conduct data analysis and feature engineering to support the development of machine learning models Use computer vision techniques to extract and analyze data from images and videos Support the deployment and maintenance of machine learning models in a production environment Contribute to the continuous improvement of machine learning processes and practices Key Skills Python Pytorch, Pandas, Numpy, CV2 Experience working on Computer Vision projects Experience with Cloud is a plus (ref:hirist.tech)

As an experienced Traffic Data Scientist or Transportation Analyst, you will play a crucial role in our team by transforming raw traffic data into actionable insights. Your expertise in analyzing and modeling traffic patterns, particularly in congestion analytics, junction analysis, and predictive traffic models, will be essential in addressing real-world traffic challenges and shaping the core intelligence of our product. Your key responsibilities will include developing advanced models for congestion analytics to identify and analyze traffic congestion, analyzing complex intersections for traffic flow modeling and bottleneck identification, designing proprietary traffic network models for simulating traffic flow, creating machine learning models for predictive analytics on traffic conditions, and collaborating with the software engineering team to integrate your models for providing actionable insights to our users. To excel in this role, you should have proven experience in traffic analysis and modeling, proficiency in data analysis and programming languages like Python or R, hands-on experience with data science libraries and frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, a solid understanding of statistical analysis and machine learning techniques, experience in building predictive models for time-series data, and familiarity with GIS and geospatial data analysis. Additionally, possessing excellent problem-solving skills, the ability to communicate and collaborate effectively in a team environment, and a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Civil Engineering (with a focus on transportation), or a related field will be advantageous for this role. Join us in leveraging your expertise to make a significant impact on traffic challenges and contribute to the overall product roadmap.,

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. Responsibilities The ideal candidate should have strong foundations in machine learning algorithms, Python programming, and experience with model development, data pipelines, and production deployment in cloud or on-prem Responsibilities : Design and implement machine learning models and AI solutions for business use cases. Build and optimize data preprocessing pipelines for training and inference. Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models. Collaborate with data engineers, product teams, and software developers. Deploy ML models into production using APIs, Docker, or cloud-native tools. Monitor model performance and retrain/update models as needed. Document model architectures, experiments, and performance metrics. Research and stay updated on new AI/ML trends and tools. Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc. Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Solid understanding of machine learning algorithms, data structures, and statistics. Experience with NLP, computer vision, or time series analysis is a plus. Familiarity with tools like Jupyter, MLflow, or Weights & Biases. Understanding of Docker, Git, and RESTful APIs. Experience with cloud platforms such as AWS, GCP, or Azure. Strong problem-solving and communication skills. Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring). Familiarity with big data tools (Spark, Hadoop). Knowledge of FastAPI, Flask, or Streamlit for ML API development. Understanding of transformer models (e.g., BERT, GPT) or LLM : Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus. (ref:hirist.tech)

Job Location : Noida Job Role : Sr. 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 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 closedand 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. (ref:hirist.tech)

Location: Remote (India) Type: Full-Time Experience: 0–1 year Education: B.Tech (CS/IT) or BCA About Us: We are a forward-thinking AI & cloud-native company building high-performance backend systems that power real-time AI applications and services. Our microservice-based architecture leverages FastAPI, containerization, edge functions, and cloud VMs to deliver scalable, low-latency APIs. Role Overview: We’re hiring a Junior Python Developer to work on robust backend systems, data processing pipelines, and cloud-native APIs. This is an opportunity for passionate developers to go deep into FastAPI, SQLAlchemy, Alembic , and modern cloud architectures, while gaining hands-on experience in microservices, container orchestration, and DevOps automation. Key Responsibilities: Build and maintain scalable, modular backends using FastAPI Write clean, well-structured code following PEP8 , DRY, and SOLID principles Design and interact with MySQL databases using SQLAlchemy ORM and Alembic for migrations Perform data manipulation and ETL tasks using NumPy and Pandas Develop and maintain unit/integration tests using Pytest Integrate REST APIs , handle authentication with API keys , and manage third-party service integrations Use Git for version control and contribute via feature branches, pull requests, and code reviews Deploy services on edge functions , VM instances , or bare-metal Linux environments Collaborate in an agile environment using tools like Jira, GitHub, Notion, and Slack Tech Stack & Tools You’ll Use: Languages: Python 3.10+ Frameworks: FastAPI, Uvicorn, Pydantic ORM: SQLAlchemy 2.x, Alembic DB: MySQL, PostgreSQL (bonus) Testing: Pytest, Coverage.py Data: NumPy, Pandas, JSON, YAML Version Control: Git, GitHub Cloud: AWS, GCP, DigitalOcean, or bare-metal Linux (any exposure is a plus) Dev Tools: Docker, curl, HTTPie, Postman, Makefiles AI Coding Tools: GitHub Copilot, Cursor, ChatGPT (experience with these is a plus ) Minimum Requirements: Bachelor’s degree in Computer Science (B.Tech/B.E.) or BCA 0–1 year of professional experience (freshers welcome) Solid understanding of Python fundamentals , OOP, and backend development concepts Projects demonstrating backend/API development with FastAPI or similar frameworks Understanding of RESTful principles , error handling, and async programming Basic familiarity with Linux environments and terminal workflows Bonus Skills (Not Mandatory): Experience with Docker and containers Knowledge of CI/CD pipelines Familiarity with JWT , OAuth2, or other auth mechanisms Exposure to Redis , Celery , or Kafka Awareness of DevOps practices and GitHub Actions Interview Process: Online coding assessment (MCQs + hands-on backend challenge) Technical interview (FastAPI, Python, DB, Testing) Final culture-fit and dev environment check What We Offer: 100% remote-first , async-friendly work environment Opportunity to work on real-world AI & microservice projects Access to AI-enhanced developer tools like GitHub Copilot Upskilling support with curated resources and mentorship A collaborative, engineering-driven culture

As a Principal Engineer / Architect at our organization, you will be responsible for combining deep technical expertise with strategic thinking to design and implement scalable, secure, and modern digital systems. This senior technical leadership role requires hands-on architecture experience, a strong command of cloud-native development, and a successful track record of leading teams through complex solution delivery. Your role will involve collaborating with cross-functional teams including engineering, product, DevOps, and business stakeholders to define technical roadmaps, ensure alignment with enterprise architecture principles, and guide platform evolution. Key Responsibilities: Architecture & Design: - Lead the design of modular, microservices-based, and secure architecture for scalable digital platforms. - Define and enforce cloud-native architectural best practices using Azure, AWS, or GCP. - Prepare high-level design artefacts, interface contracts, data flow diagrams, and service blueprints. Cloud Engineering & DevOps: - Drive infrastructure design and automation using Terraform or CloudFormation. - Support Kubernetes-based container orchestration and efficient CI/CD pipelines. - Optimize for performance, availability, cost, and security using modern observability stacks and metrics. Data & API Strategy: - Architect systems that handle structured and unstructured data with performance and reliability. - Design APIs with reusability, governance, and lifecycle management in mind. - Guide caching, query optimization, and stream/batch data pipelines across the stack. Technical Leadership: - Act as a hands-on mentor to engineering teams, leading by example and resolving architectural blockers. - Review technical designs, codebases, and DevOps pipelines to uphold engineering excellence. - Translate strategic business goals into scalable technology solutions with pragmatic trade-offs. Key Requirements: Must Have: - 5+ years in software architecture or principal engineering roles with real-world system ownership. - Strong experience in cloud-native architecture with AWS, Azure, or GCP (certification preferred). - Programming experience with Java, Python, or Node.js, and frameworks like Flask, FastAPI, Celery. - Proficiency with PostgreSQL, MongoDB, Redis, and scalable data design patterns. - Expertise in Kubernetes, containerization, and GitOps-style CI/CD workflows. - Strong foundation in Infrastructure as Code (Terraform, CloudFormation). - Excellent verbal and written communication; proven ability to work across technical and business stakeholders. Nice to Have: - Experience in MLOps pipelines, observability stacks (ELK, Prometheus/Grafana), and tools like MLflow, Langfuse. - Familiarity with Generative AI frameworks (LangChain, LlamaIndex), Vector Databases (Milvus, ChromaDB). - Understanding of event-driven, serverless, and agentic AI architecture models. - Python libraries such as pandas, NumPy, PySpark and support for multi-component pipelines (MCP). Preferred: - Prior experience leading technical teams in regulated domains (finance, healthcare, govtech). - Cloud security, cost optimization, and compliance-oriented architectural mindset. What You'll Gain: - Work on mission-critical projects using the latest cloud, data, and AI technologies. - Collaborate with a world-class, cross-disciplinary team. - Opportunities to contribute to open architecture, reusable frameworks, and technical IP. - Career advancement via leadership, innovation labs, and enterprise architecture pathways. - Competitive compensation, flexibility, and a culture that values innovation and impact.,

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

Role Overview We are seeking a highly skilled and experienced Senior Data Analyst/Data Scientist to join our team. The ideal candidate will have deep expertise in SQL, Python programming, and data visualization tools, enabling data-driven decision-making and actionable business insights. Key Responsibilities Develop, optimize, and maintain complex SQL queries and stored procedures for large-scale datasets. Write clean, efficient, and scalable Python code to automate data processing and analysis workflows. Design and build interactive and insightful dashboards and reports using visualization tools (e.g., Tableau, Power BI, Looker, or equivalent). Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Perform advanced data analysis and statistical modeling to identify trends, patterns, and business opportunities. Lead data quality assurance efforts and troubleshoot data discrepancies. Mentor junior analysts and contribute to best practices in data analytics and visualization. Required Skills & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in data analysis or data science roles. Expert-level proficiency in SQL, including query optimization and performance tuning. Strong programming skills in Python with experience in libraries such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. Solid understanding of data warehousing concepts and ETL processes. Experience working with large and complex datasets. Excellent problem-solving, communication, and stakeholder management skills. Ability to work independently and lead analytical projects. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of machine learning techniques and algorithms. Familiarity with version control systems like Git.

As a Computer Vision Intern, you will be responsible for assisting in building and refining the image recognition pipeline. Your role will involve tasks such as dataset management, image collection, annotation validation, dataset cleaning, and preprocessing. Once the foundational data work is completed, you will gain hands-on experience in model training, augmentation, and evaluation, directly contributing to our production-ready pipeline. Your responsibilities will include organizing, cleaning, and preprocessing large-scale retail image datasets, validating and managing annotations using tools like Roboflow, CVAT, or LabelImg, applying augmentation techniques, preparing datasets for training, supporting in training YOLOv5/YOLOv8-based models on custom datasets, running model evaluations, collaborating with the product team to enhance real-world inference quality, and documenting the dataset pipeline while sharing insights to improve data quality. We are looking for individuals who have a basic understanding of Computer Vision concepts such as Object Detection and Classification, familiarity with Python libraries like OpenCV, Pandas, NumPy, knowledge of image annotation tools like Roboflow, LabelImg, CVAT, and the ability to manage and organize large datasets. Experience with YOLOv5 or YOLOv8 (Training, Inference, Fine-tuning), exposure to image augmentation techniques like Albumentations, understanding of retail/commercial shelf datasets or product detection problems, and previous internship or project experience in computer vision would be considered advantageous for this role.,

As a Lead Developer, you will report to the Head of Technology based in London. Your core responsibilities will include leading the development of new features and platform improvements, managing, mentoring, and motivating team members, liaising with UK-based stakeholders to ensure team alignment with business and technical objectives, planning, coordinating, and delivering technical projects to the agreed schedule, championing and enforcing technical standards, ensuring the Software Development Life Cycle (SDLC) is followed within the team, and assisting with hiring, onboarding, and developing the team. In this role, you will work with an exciting and modern tech stack built for scale, reliability, and productivity. To succeed, you should have solid experience with tools such as Python (SQLAlchemy, Flask, Numpy, Pandas), MySQL, AWS (ECS, S3, Lambda, RDS), RabbitMQ, Docker, Linux, GitLab, Generative AI tools, and AI Tools. The required qualifications and experience for this role include a university degree in a STEM subject from a reputable institution, at least 8 years of professional software development experience, with at least 2 years in a lead/management role, proven experience liaising with remote stakeholders, familiarity with the tech stack or equivalent technologies, and a basic understanding of financial markets and derivative products. You should possess excellent teamwork skills, professional fluency in English (both written and spoken), excellent interpersonal and communication skills to collaborate effectively across global teams and time zones, a strong understanding of distributed software systems, an analytical and inquisitive mindset, and a desire to take on responsibility and make a difference. In terms of benefits, the company offers a competitive compensation package, including a competitive salary based on experience and role fit, annual/performance bonus, health insurance, life insurance, meal benefits, learning & development opportunities relevant to your role and career growth, enhanced leave policy, and a transport budget for roles requiring commute outside of business hours. This is a full-time position that requires in-person work.,

As an Innovation Engineer in our team, you will play a crucial role in developing cutting-edge software solutions tailored for math and science education. Your expertise in algorithms, computational science, and mathematics will drive the creation of innovative tools to enhance learning experiences. You will be responsible for developing, optimizing, and maintaining algorithmic solutions to tackle mathematical and scientific challenges. Your role will involve designing software that generates diverse and complex math and science question sets to support various educational curricula. Collaborating closely with educators and subject matter experts, you will translate learning objectives into computational logic and software features. Integrating numeric, symbolic, and computational methodologies, you will create efficient educational tools that facilitate transparent and effective learning experiences. Your work will also involve evaluating and implementing AI/LLM-based modules where they enhance algorithmic approaches, particularly for tasks like natural-language parsing or automated explanation, while critically assessing their performance and limitations. To qualify for this role, you should hold a Bachelor's or Master's degree in Mathematics, Computational Science, Computer Science, Engineering, or a related quantitative field. Additionally, you should have a minimum of 3 years of hands-on experience in computational roles focused on algorithm development, symbolic/numeric computation, or mathematical modeling. Proficiency in programming languages such as Python, C++, Java, or similar languages, along with experience in computation-focused libraries like NumPy, SymPy, SageMath, MATLAB, or Mathematica, is essential. Preferred qualifications include experience in developing educational software involving symbolic/numerical computation or complex algorithmic logic, as well as an understanding of modern AI tools and their applications in math and science problem solving. You should possess the ability to judiciously integrate LLMs or AI-based modules for specific tasks where algorithmic solutions may be impractical. Key skills for success in this role include analytical and logical reasoning abilities for mathematical modeling and software design, a genuine passion for leveraging technology to advance math and science education, effective communication skills for cross-functional collaboration, and awareness of recent advancements in computational math and AI approaches to strategically apply them where they offer distinct value.,

🚀 Internship Opportunity at Finance Rupay – Immediate Joining! We are looking for enthusiastic and driven interns to join our fast-growing team across multiple technology verticals. If you are passionate about coding, gaming, or AI and want hands-on experience working on real-time projects, this is your chance! Skills: Java: Java 8+ Spring, Spring Boot, Spring Security, JPA, Hibernate, Rest API(Web Services), Databases (NoSQL, RDBMS) Docker, Cloud Platform. Python/ AI Developer: Strong skill in Python with AI tools/development, Rest API(Web Services), ORMs, Databases (NoSQL, RDBMS), Knowledge of Python framework (like Django, Flask, FastAPI, Pyramid, Pandas, NumPy, TensorFlow, PyTorch etc) Most importantly eagerness to learn and stand updated with the latest AI and machine learning advancements. 🔹 Roles Open For: Java Full Stack Developer Python Developer Generative AI Developer Front-End Developer (React/Angular/HTML/CSS) Back-End Developer (Node.js/Java/Python) Unity Developer (Gaming) 🔹 Internship Details: Duration: 6 Months Stipend: ₹6,000/month Location :Thane Start Date: Immediate Joining 🔹 What You’ll Get: Real-world experience on client and internal projects Mentorship from experienced developers Internship certificate and potential for full-time placement Exposure to startup culture and cross-functional teams 🔹 Eligibility: Final year students, recent graduates, or passionate learners Must be available for full-time internship Strong fundamentals and willingness to learn

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,