4844 Numpy Jobs - Page 36

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.,

As an AI/ML Intern at Varaha, you will be part of a dedicated team of researchers and engineers focused on developing machine learning and deep learning solutions to support sustainable agricultural practices and climate action. This role will provide you with practical exposure to working with diverse datasets and scalable AI systems that aim to make a global impact. Your responsibilities will include designing and implementing machine learning and deep learning models using Python. You will also be involved in data cleaning, preprocessing, and analysis of both structured and unstructured datasets. Additionally, you will have the opportunity to train and assess models using popular libraries such as PyTorch or TensorFlow. Your contributions will extend to internal research, model benchmarking, and collaborative experimentation. It will be essential to document your experiments, code, and results to ensure reproducibility and facilitate collaboration within the team. To excel in this role, you should possess a strong foundation in Python programming and a solid understanding of fundamental machine learning algorithms and concepts such as regression and classification. Familiarity with deep learning techniques and neural networks is also required, along with experience using ML/DL libraries and tools like scikit-learn, pandas, NumPy, PyTorch, or TensorFlow. In terms of qualifications, you should be currently pursuing or have recently completed a B.Tech in Computer Science or a related field from IITs exclusively. Alternatively, you could hold a Master's degree in Computer Science, Data Science, AI, or related disciplines from a recognized institution. Candidates with additional experience in ML competitions or contributions to ML research will be preferred. An interest or background in areas like Natural Language Processing (NLP), Computer Vision, or MLOps will also be advantageous. Exposure to climate or geospatial datasets will be considered a plus. By joining Varaha, you will become part of a dynamic, international team that values ambition and innovation. You can expect mentorship from a diverse, impact-oriented team and the chance to work on real-world AI systems that address climate change. The work environment is characterized by collaboration and creativity, providing you with a platform to grow and contribute meaningfully. Please note that this job description may not encompass all the activities, duties, or responsibilities associated with the role. Responsibilities and tasks may be subject to change at any time, with or without prior notice.,

We are seeking an enthusiastic and skilled Python Developer with a passion for AI-based application development to join our expanding technology team. This role presents an opportunity to work at the intersection of software engineering and data analytics, contributing to cutting-edge AI-driven solutions that have a real business impact. If you possess a strong foundation in Python, a knack for problem-solving, and a keen interest in building intelligent systems, we are excited to meet you! As a Python Developer at ARDEM Data Services Private Limited, your key responsibilities will include: - Developing and deploying AI-focused applications using Python and associated frameworks. - Collaborating with Developers, Product Owners, and Business Analysts to design and implement machine learning pipelines. - Creating interactive dashboards and data visualizations to derive actionable insights. - Automating data collection, transformation, and processing tasks. - Utilizing SQL for data extraction, manipulation, and database management. - Applying statistical methods and algorithms to extract insights from large datasets. The ideal candidate should have: - 2-3 years of experience as a Python Developer, along with a robust portfolio of relevant projects. - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - In-depth knowledge of Python, including frameworks and libraries such as NumPy, Pandas, SciPy, and PyTorch. - Proficiency in front-end technologies like HTML, CSS, and JavaScript. - Familiarity with SQL and NoSQL databases and their best practices. - Excellent communication and team-building skills. - Strong problem-solving abilities with a focus on innovation and self-learning. - Knowledge of cloud platforms such as AWS is a plus. Technical Requirements: - Laptop or Desktop: Windows (i5 or higher, 8GB RAM minimum) - Screen: 14 inches, Full HD (1920x1080) - Internet Speed: 100 Mbps or higher About ARDEM: ARDEM is a prominent Business Process Outsourcing and Business Process Automation service provider with a successful track record of over two decades. We deliver outsourcing and automation services to clients in the USA and Canada, focusing on continuous innovation and excellence. We are committed to becoming the leading Business Process Outsourcing and Business Process Automation company by consistently delivering top-notch services to our customers. Please note: ARDEM will never request personal or banking information during the hiring process for any data entry/processing roles. Any communication claiming to offer work-from-home jobs on behalf of ARDEM Incorporated is fraudulent. Please disregard such messages and refer to ARDEM's Careers page for genuine job opportunities. We apologize for any inconvenience caused by such deceptive practices.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As a Backend Developer, your primary responsibility will be to develop and maintain backend services using Python, with a strong emphasis on FastAPI, NumPy, and Polars for efficient handling of data. You will be tasked with building and managing agentic workflows utilizing LangChain, LangGraph, and MCP Agents to facilitate dynamic, multi-step reasoning. Additionally, you will design and execute RAG pipelines for contextual information retrieval and response generation. Integration and optimization of MongoDB or similar vector databases like FAISS and Pinecone for semantic search and embedding storage will also fall under your purview. Collaboration with cross-functional teams to deploy scalable AI services in production will be a crucial part of your role. Furthermore, you will be responsible for conducting performance tuning, testing, and deployment of AI components, while also keeping abreast of the latest developments in GenAI, LLMs, and agentic architectures. The ideal candidate for this position should possess a minimum of 3-6 years of experience in backend development using Python. You should have hands-on experience with FastAPI for constructing RESTful APIs, as well as proficiency in NumPy and Polars for numerical and tabular data processing. A solid understanding of Generative AI concepts is essential, along with practical experience in working with LangChain, LangGraph, and MCP Agents. Experience in building and deploying agentic RAG systems and familiarity with MongoDB or other vector databases for semantic search and retrieval will be advantageous. Knowledge of cloud platforms such as Azure and containerization tools like Docker/Kubernetes will be considered a plus. To qualify for this role, you should hold a Bachelors or Masters degree in computer science, data science, mathematics, or a related field.,

As a PL SQL Developer with 5 to 7 years of experience, you will be based in Pune/hybrid with an immediate to 15 days notice period. You must possess expertise in languages such as SQL, T-SQL, PL/SQL, and Python libraries like PySpark, Pandas, NumPy, Matplotlib, and Seaborn, along with databases like SQL Server and Synapse. Your key responsibilities will include designing and maintaining efficient data pipelines and ETL processes using SQL and Python, writing optimized queries for data manipulation, using Python libraries for data processing and visualization, performing EOD data aggregation and reporting, working on Azure Synapse Analytics for scalable data transformations, monitoring and managing database performance, collaborating with cross-functional teams, ensuring secure data handling and compliance with organizational policies, and debugging Unix-based scripts. To be successful in this role, you should have a Bachelors/Masters degree in Computer Science, IT, or a related field, along with 5-8 years of hands-on experience in data engineering and analytics. You must have a solid understanding of database architecture, experience in end-of-day reporting setups, and familiarity with cloud-based analytics platforms. This is a full-time, permanent position with day shift schedule and in-person work location.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

We are seeking a Senior LLM Engineer to actively contribute to the development of cutting-edge GenAI applications. Your responsibilities will include building GenAI applications that align with business use cases, designing and optimizing prompts for multi-modal models, testing GenAI solutions to ensure they meet requirements and implementing guardrails to prevent unintended or harmful content generation. Additionally, you will be involved in designing conversational or RAG systems. To be successful in this role, you should have a Bachelor's degree in Engineering or related fields with at least 3 years of experience in ML/LLMs. You should possess knowledge of prompt engineering techniques such as chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting. Familiarity with open-source and proprietary LLMs like GPT, Claude, LLaMA, and Mistral is required. Proficiency in Python programming and experience with libraries like numpy and pandas are essential. Hands-on experience with frameworks such as Langchain, LlamaIndex, Huggingface, or similar tools is preferred. Knowledge of RAG and experience with self-hosted/cloud-based vector databases is a plus. The ideal candidate will have a proven ability to work effectively in a cross-discipline environment within defined timelines. Experience with cloud-based systems, particularly GCP or AWS, is highly desirable. Strong analytical, problem-solving, written, and verbal communication skills are also key requirements. This position is based in Ahmedabad or Pune.,

About the Role: Baoiam is looking for a passionate and experienced Data Science Trainer to join our team full-time. As a key mentor and subject matter expert, you’ll be responsible for delivering engaging, practical, and outcome-driven sessions on Data Analysis and Advanced Data Science to students enrolled in our flagship program. The position is hybrid , requiring a mix of remote delivery and periodic in-person sessions. Key Responsibilities: Deliver live training sessions and workshops (online/offline) for learners across India. Design and update curriculum aligned with industry trends and job roles. Create high-quality learning content including assignments, case studies, and projects. Mentor and resolve doubts of students on a regular basis. Track student performance and provide personalized feedback. Collaborate with the product and content team to enhance the course experience. Participate in webinars, demos, and onboarding sessions as the face of the program . Support the career team by conducting mock interviews and project evaluations. Required Skills & Experience: Minimum 5+ years of experience in the Data Science field, with real-world project exposure. Proven experience in online teaching/training (edtech background preferred). Proficient in Python, Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, Power BI / Tableau. Deep understanding of Data Analysis, Machine Learning, and Business Applications . Strong communication and presentation skills. Ability to explain complex topics in a beginner-friendly manner. Experience with LMS platforms and student engagement tools is a plus. What We Offer: Fixed salary of ₹4.5 LPA Flexible working (hybrid mode) with periodic offline events Opportunity to build your personal brand and reach thousands of learners Be part of an impactful mission in democratizing education To Apply: Email your resume, portfolio (if any), and a short video/audio introducing yourself to hr@baoiam.com Subject Line: Application – Data Science Trainer (Hybrid)

The Data Scientist is expected to harness large volumes of complex data to generate actionable insights that fuel business strategy and innovation. This role requires expertise in advanced statistical methods, machine learning techniques, and data visualization to discover patterns, forecast outcomes, and support data-driven decision-making across the organization. Transforming complex datasets into solutions is a key aspect of the role, leveraging statistical expertise and machine learning to answer crucial business questions. This includes collecting, cleaning, and preprocessing structured and unstructured data from various sources such as databases, APIs, logs, and documents. Investigating data sets to identify patterns, anomalies, trends, and correlations through Exploratory Data Analysis (EDA) is essential for informing hypotheses and model development. Designing, implementing, and fine-tuning statistical and machine learning models for prediction, classification, segmentation, and recommendation tasks is a core responsibility. Evaluating model performance using appropriate metrics and iterating to improve robustness and generalizability is crucial. Translating complex model outputs into intuitive visualizations and business-relevant narratives using tools like Power BI, Tableau, or custom dashboards is important for effective data storytelling and visualization. Presenting findings and actionable recommendations to stakeholders in a clear and compelling manner to enable informed decision-making across departments is a key part of the role. Collaborating closely with business, product, engineering, and operations teams to understand domain-specific challenges and deliver tailored data-driven solutions is essential. Staying updated on the latest developments in data science, AI/ML frameworks, and big data technologies to incorporate cutting-edge methods into workflows is also a required aspect. The ideal candidate should possess deep proficiency in Python or R, along with fluency in SQL and familiarity with core data manipulation libraries such as NumPy, Pandas, and Scikit-learn. The ability to translate complex data outputs into clear, concise, and visually compelling insights for technical and non-technical stakeholders is necessary. A solid grasp of business fundamentals to connect analytical findings with strategic decision-making is crucial, along with having a naturally analytical mindset and a passion for uncovering insights, solving problems, and discovering meaningful patterns within data. Educational qualifications for this role include an advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a closely related field. The ideal candidate should have 3+ years of demonstrated experience in data science, showcasing a strong command of statistical modeling and machine learning techniques. The Data Scientist role falls under the Software Division and reports to the CTO Org.,

You should have experience in BI Product Development, specifically with Apache Superset. Hands-on experience with other BI tools like Power BI or Tableau is acceptable if you have strong project-based BI development exposure. It is essential that you have worked on multiple BI projects end-to-end. Advanced proficiency in Python and SQL is a must. You should have used Python for product development or in complex analytics projects. Additionally, you must demonstrate advanced SQL knowledge, such as optimizing queries, working with large datasets, and utilizing stored procedures. Be prepared to provide specific use cases where your Python and SQL expertise was critical. You should have hands-on experience in advanced analytics, including Fraud Analytics, Prediction/Forecasting models, and statistical or machine learning techniques. Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Experience in client management is necessary, as you will be expected to manage BI projects for external or internal clients. You should be capable of understanding client requirements, presenting solutions, and effectively managing delivery timelines and stakeholder expectations.,

You are a skilled and motivated AI Developer with over 3+ years of hands-on experience in building, deploying, and optimizing AI/ML models. Your expertise includes strong proficiency in Python, Scikit-learn, machine learning algorithms, and practical experience of Azure AI services, Azure AI foundry, Copilot Studio, and Dataverse are mandatory. You will be responsible for designing intelligent solutions using modern deep learning and neural network architectures, integrated into scalable cloud-based environments. Your key responsibilities will include utilizing Azure AI Foundry and Copilot Studio to build AI-driven solutions that can be embedded within enterprise workflows. You will design, develop, and implement AI/ML models using Python, Scikit-learn, and modern deep learning frameworks. Additionally, you will build and optimize predictive models using structured and unstructured data from data lakes and other enterprise sources. Collaborating with data engineers to process and transform data pipelines across Azure-based environments, you will develop and integrate applications with Microsoft Dataverse for intelligent business process automation. Applying best practices in data structures and algorithm design, you will ensure high performance and scalability of AI applications. Your role will involve training, testing, and deploying machine learning, deep learning, and neural network models in production environments. Furthermore, you will be responsible for ensuring model governance, performance monitoring, and continuous learning using Azure MLOps pipelines. Collaborating cross-functionally with data scientists, product teams, and cloud architects, you will drive AI innovation within the organization. As a qualified candidate, you hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. With 3+ years of hands-on experience in AI/ML development, you possess practical experience with Copilot Studio and Microsoft Dataverse integrations. Expertise in Microsoft Azure is essential, particularly with services such as Azure Machine Learning, Azure Data Lake, and Azure AI Foundry. Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, and NumPy is required. A solid understanding of data structures, algorithms, and object-oriented programming is essential, along with experience in data lakes, data pipelines, and large-scale data processing. Your deep understanding of neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and model tuning will be valuable in this role. Familiarity with MLOps practices and lifecycle management on cloud platforms is beneficial. Strong problem-solving abilities, communication skills, and team collaboration are important attributes for this position. Preferred qualifications include Azure AI or Data Engineering certification, experience in deploying AI-powered applications in enterprise or SaaS environments, knowledge of generative AI or large language models (LLMs), and exposure to REST APIs, CI/CD pipelines, and version control systems like Git.,

You are looking for an experienced Python Developer to join a dynamic development team. With 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks, you will play a crucial role in developing robust and high-performance solutions. Collaboration with design, frontend, and DevOps teams is essential for successful project delivery. Your key responsibilities will include developing, testing, and maintaining backend applications using Django, Flask, or FastAPI. You will build RESTful APIs, integrate third-party services, and utilize data handling libraries like Pandas and NumPy for efficient data processing. Writing clean, maintainable, and well-documented code that follows industry best practices is a must. Additionally, participation in code reviews, mentoring junior developers, and troubleshooting production issues are part of your role. To excel in this position, you must have 2 to 5 years of backend development experience with Python. Proficiency in core and advanced Python concepts, strong command over at least one Python framework, experience with data libraries, and familiarity with version control systems are required. Comfort working in Linux environments, expertise in backend Python development, strong debugging skills, and experience with API development and microservices architecture are essential skills. Desirable skills include experience with Generative AI frameworks, exposure to Machine Learning libraries, knowledge of containerization tools, familiarity with web servers, understanding of asynchronous programming, and Agile practices. Exposure to CI/CD pipelines and cloud platforms will be beneficial. The company specializes in delivering cutting-edge solutions in custom software, web, and AI development. The work culture emphasizes a unique blend of in-office and remote collaboration, prioritizing employees above all else. Continuous learning, leadership opportunities, and mutual respect are encouraged, fostering an environment where individuals are valued and supported in achieving their fullest potential. As part of the benefits and perks, you can expect a competitive salary of up to 6-10 LPA based on skills and experience, generous time off with 18 annual holidays for work-life balance, extensive learning opportunities, and valuable client exposure to enhance your professional growth.,