4489 Numpy Jobs - Page 12

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

Commercial Management : Roles & Responsibilities Improve WIN probability Deal shaping from commercial perspective Help arrive at Right Price to Win Internal Benchmarking Alternate pricing and commercial structures Client Business case Identify margin / price improvement levers Develop appropriate commercial solutions Review cost modeling Review Rfx documents to highlight risks Review compliance with internal guidelines Review pricing sheet responses Draft end to end Responses Commercial responses including contract markup, assumptions and T&Cs Establish MOUs/ agreements with Internal BUs Comprehensive contract documents with client and sub-contractors Commercial negotiation Commercial handover from pre-sale to post-sale teams Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) Verbal Communication

Introduction A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities We are seeking for a passionate and skilled Python AI Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life. Job Description Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar. Design and implement AI/ML models and algorithms using Python3. Develop and maintain scalable, production-grade machine learning pipelines. Conduct data exploration, preprocessing, feature engineering, and model evaluation. Optimize models for performance and scalability in production environments. Collaborate with cross-functional teams to integrate AI components into real-world applications. Stay up to date with the latest research and industry trends in AI and machine learning. Document experiments, code, and processes for reproducibility and transparency. Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills in Python 3. Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.). Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.). Experience in NLP related to Semantic models/Search using BERT/ transformer model. Experience with Gen AI ecosystem/tools is a plus. Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc. Good grasp of software engineering principles (version control, testing, modular code). Preferred Technical And Professional Experience Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.). Understanding of cloud platforms (AWS, GCP, Azure) is a plus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment

Introduction A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities We are seeking for a passionate and skilled Python Backend Data Engineer to design, develop and maintain hybrid data Platform across multi-cloud and on-premises. You will collaborate with AI engineers, product managers, and software engineers to bring data driven products and features to life. Job Description Build high-performing, scalable, enterprise-grade applications. Manage Big Data application development across the full software development lifecycle. Cloud platforms experience (AWS, GCP, Azure). Experience with CI/CD pipelines for data engineering workflows. Preferred Education Master's Degree Required Technical And Professional Expertise Must have: Python3, Fast API, Spark, Iceberg. RESTful web services, Kafka messaging service. Experience with Gen AI ecosystem/tools is a plus. Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc. No SQL & SQL databases (Postgres/MySQL, Mongo with GridFs) Modern authorization mechanisms (JSON Web Token, OAuth2) Preferred Technical And Professional Experience Object-Oriented analysis and design (DDD, Microservices) Understanding of cloud platforms (AWS, GCP, Azure) is a plus. Any exposure to any BI tools is a plus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills in English, with the ability to work effectively in a collaborative team environment

We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team. The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach. About the Role: The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology automation. Responsibilities: Model Development & Research: Design and build multi-factor models for equity, fixed income, and alternative asset classes Develop alpha generation signals and systematic trading strategies across multiple time horizons Research and implement new quantitative factors using academic literature and market insights Enhance existing models through continuous performance monitoring and iterative improvements Data Infrastructure & Analytics: Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms Build automated data pipelines for real-time and historical market data processing Ensure data quality, integrity, and optimize query performance for research workflows Develop efficient storage solutions for multi-asset research environments Strategy Testing & Validation: Conduct comprehensive backtesting across multiple market cycles using robust statistical methods Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations Generate detailed performance attribution and risk decomposition analysis Document model assumptions, limitations, and validation results Risk Management & Monitoring: Build risk management frameworks including VaR, stress testing, and scenario analysis Monitor portfolio exposures, concentration risks, and factor loadings in real-time Develop automated alerting systems for model degradation and performance anomalies Support portfolio optimization and construction processes Technology & Automation: Develop Python-based research and production systems with focus on scalability Create automated model monitoring, reporting, and alert generation frameworks Collaborate on technology infrastructure decisions and platform evaluations Maintain code quality and documentation standards Qualifications: Professional Experience: 4–8 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading Proven track record in systematic investment strategy development and implementation Experience with institutional-grade quantitative research and portfolio management Technical Proficiency: Programming: Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries) Database: Hands-on Snowflake and SQL experience with large-scale data environments Analytics: Statistical modeling, econometrics, and machine learning techniques Platforms: Bloomberg Terminal, Refinitiv, or equivalent financial data systems Quantitative Expertise: Deep understanding of factor models, portfolio optimization, and systematic risk management Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures Experience with market microstructure analysis and high-frequency data processing Familiarity with performance attribution methodologies and benchmark construction Communication & Analysis: Strong problem-solving abilities with exceptional attention to detail Ability to translate quantitative insights into actionable investment recommendations Excellent presentation skills for communicating complex research to stakeholders Collaborative approach to working in cross-functional investment teams. Educational Background: Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering CQF, CFA, FRM or equivalent professional certification preferred Strong academic foundation with demonstrated quantitative aptitude Regulatory Awareness: Understanding of SEBI AIF regulations and compliance frameworks Knowledge of investment management risk controls and regulatory reporting requirements Preferred Skills: Industry Recognition: Published quantitative research or contributions to investment thought leadership Multi-Asset Expertise: Experience across equity, fixed income, commodities, and alternative investments Innovation Mindset: Interest in machine learning, alternative data, and emerging quantitative techniques Advanced Programming: Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques Domain Specialization: Strong background in specific asset classes such as Indian equities & emerging markets Entrepreneurial Drive: Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment Industry Certifications: Additional qualifications or specialized quantitative finance credentials will be a plus Alternative Data & AI: Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus Pay range and compensation package: Competitive with industry standards, including performance-based incentives.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. What You’II Do Maintain and resolve bugs in existing components Contribute new features, fixes, and refactors to the existing code Perform code reviews and coach engineers with respect to best practices Work with other engineers in following the test-driven methodology in an agile environment Collaborate with other engineers and Product Developers in a Scrum Agile environment using Jira and Confluence Ability to work as part of a geographically diverse team Ability to create and review documentation and test plans Estimate task sizes and regularly communicate progress in daily standups and biweekly Scrum meetings Coordinate with other teams across offices and departments What We’re Looking For Bachelor’s degree in Engineering or relevant field required. We are looking for 3-4 years of Total experience engineer for this role. Strong technical basis , collaborative, troubleshooting, and communication skills Strong analytical and problem-solving skills & Project management skills. Experience with Python language Knowledge on Python libraries , Pandas, Numpy. Database experience, preferably SQL Experience with Github-based development processes Working experience on AWS services, Lambda, EC2, S3, AWS Glue etc. Working experience on APIs is a must Experience building and deploying production level services Good organizational and problem-solving skills, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Ability to work in a team-oriented environment Nice to have skills Work experience of Jupyter Notebooks is plus. Familiar with Agile software development (Scrum is a plus). Experience working in Linux/Unix environment is desirable. Technically leading the team experience is a plus. What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

We are hiring a dedicated Data Analytics Trainer to conduct Training Sessions covering: Excel (advanced formulas, dashboards) SQL (data extraction, joins, subqueries) Power BI (data modeling, DAX, reports) Python (pandas, NumPy, basic visualizations) Key Responsibilities: Deliver classroom & online sessions in an engaging, clear manner Explain concepts deeply and effectively —adapt to learners’ pace Handle student doubts patiently and provide practical solutions Create structured content, assignments, and mini-projects Ensure students grasp both theory and hands-on applications Requirements: Proven expertise in Excel, SQL, Power BI, and Python Strong communication and presentation skills Passion for teaching and interacting with students Whatsapp after Morning 11 AM or Evening 8 PM @ 63043 92065 Job Types: Full-time, Part-time, Freelance Pay: ₹20,000.00 - ₹800,000.00 per month Schedule: Day shift Language: English (Required) Work Location: In person

• Implement Web applications in Python/Django• Understanding project requirement & converting into technical requirements• Independently do the coding/development of complex modules• Independent contributor, high quality software within the timelines • Ensure high quality releases through appropriate QC and QA activities• Participate in technical discussions / reviews • Works collaboratively and professionally with other associates in cross functional teams to achieve goals Qualifications • 1.5-3 years relevant experience in developing applications for financial services clients• 1-3 years of experience implementing web application in Python/ Django• Knowledge of SciPy/NumPy/Pandas libraries in Python to develop quant models• Good understanding of SDLC phases of application development• Must be able to design and develop web applications using Open source technology (Python)• Should have good understanding and exposure to unit testing. Job Location

Job Title: AI/ML Internship Company: Digirocket Technologies Location: Gurgaon, India Job Type: Internship (Full-time) Duration: 6 months Stipend: [Optional – mention if applicable] About Digirocket Technologies: Digirocket Technologies is a forward-thinking technology company focused on delivering cutting-edge digital solutions. Based in Gurgaon, we specialize in leveraging artificial intelligence, machine learning, and data analytics to empower businesses with intelligent automation and insights. Internship Overview: We are looking for a passionate and self-motivated AI/ML Intern to join our team. This internship offers hands-on experience with real-world machine learning projects, mentorship from experienced engineers, and exposure to the full ML lifecycle—from data preprocessing to model deployment. Key Responsibilities: Assist in building, training, and evaluating machine learning models. Perform data preprocessing, feature engineering, and exploratory data analysis. Collaborate with the development team on deploying AI/ML solutions. Research and experiment with new algorithms and techniques. Document experiments, code, and project outcomes clearly. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning concepts and algorithms. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with data handling using Pandas, NumPy, etc. Knowledge of basic statistics and data visualization techniques. Strong problem-solving skills and the ability to work independently. Preferred Qualifications: Experience with NLP, computer vision, or deep learning projects. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS, GCP, or Azure). Published projects on GitHub or relevant academic work. What We Offer: Mentorship from experienced AI professionals. Opportunity to work on live projects and make meaningful contributions. Flexible work environment (hybrid/onsite options in Gurgaon). Certificate of internship and potential full-time offer for top performers. How to Apply: Please send your resume, portfolio (if any), and a brief cover letter to hrconnect@digirockett.com Job Type: Internship Contract length: 6 months Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Evening shift Monday to Friday UK shift US shift Supplemental Pay: Overtime pay Work Location: In person

Experience Required: 2-5 Years No. of vacancies: 4 Job Type: Full Time Vacancy Role: WFO Job Category: Development 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 & Responsibilities 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. Qualifications 2+ years of professional experience 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 skill Job Type: Full-time Pay: ₹136,159.75 - ₹1,600,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Data science: 2 years (Required) Work Location: In person

We’re looking for a passionate and curious AI/ML Developer to join our team. Whether you're a fresher with strong fundamentals or a developer with a few years of experience in building intelligent systems, this role offers the opportunity to work on exciting machine learning and data-driven solutions. You’ll be responsible for developing, training, and deploying machine learning models, working with large datasets, and collaborating with product and engineering teams to turn data into real-world impact. Key Responsibilities : Build, train, evaluate, and deploy machine learning models for real-world use cases Work with structured and unstructured data, performing data preprocessing, cleaning, and transformation Design and implement pipelines for data ingestion and model training Collaborate with software developers, data engineers, and domain experts to integrate AI/ML solutions into products Research and experiment with new algorithms and techniques to solve business problems Monitor the performance of models in production and continuously optimize them Present insights, models, and solutions clearly to technical and non-technical stakeholders Maintain clear documentation and follow best practices in coding and versioning Required Skills & Qualifications : 1–5 years of hands-on experience or academic projects in Machine Learning or Artificial Intelligence Strong programming skills in Python (preferred) or R, with experience using libraries like scikit-learn, TensorFlow, PyTorch, or Keras Solid understanding of ML concepts such as supervised/unsupervised learning, feature engineering, model evaluation Knowledge of data handling tools like Pandas, NumPy, and SQL Familiarity with NLP, Computer Vision, or Deep Learning techniques is a plus Understanding of REST APIs and integration of ML models into web applications Experience with version control tools like Git Exposure to cloud platforms such as AWS, Azure, or Google Cloud is an advantage Strong problem-solving, critical thinking, and communication skills Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field Python scikit-learn TensorFlow Keras PyTorch Pandas NumPy SQL Machine Learning Deep Learning NLP Computer Vision Git REST API Jupyter Notebooks AWS Azure Google Cloud Platform (GCP) Data Preprocessing Model Deployment We Offer 5 Day Working Paid Leave All Leave Encashment Health Insurance Festival Celebration Employee Engagement Great Work Space Annual Picnic OUR MISSION At ARK Infosoft, our mission is to empower businesses to grow by providing them with personalized IT solutions. We achieve this by leveraging the latest technologies, prioritizing our customers, and continuously seeking innovative ways to improve. Our goal is to be the most trusted partner in our clients’ journey towards digital advancement. We are dedicated to excellence, integrity, and social responsibility, aiming to create lasting value for our clients, employees, and communities. We are committed to ensuring a sustainable and prosperous future for all. OUR VISION Our vision is to establish ARK Infosoft as a leading IT company renowned for delivering creative solutions that help businesses succeed in today’s digital world. We aim to be the go-to partner for all their IT needs, fostering growth and prosperity in every industry we serve. By prioritizing innovation, collaboration, and sustainability, we envision a future where technology empowers businesses to reach their full potential. We strive to drive positive global impact, shaping a brighter tomorrow by enabling businesses to thrive in the digital age.

For 3–5 Years Experience Please share your updated via anjali.sharma@genicminds.com _ AI/ML Engineer / Data Scientist _ 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipeline Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Company Description Company Description Brainwonders - India's Largest Career Counselling Company 450+ Education Institutes use the Brainwonders Services 80+ Corporate Connects Winner of many numerous national and regional awards in the field of counselling and career guidance Brainwonders is a leading edutech company and is looking to have a dynamic team to propel its growth ahead. The given below job description is for aspiring candidates with an eye towards Shaping tomorrows' future. Job Description Job Description Brainwonders is looking for an experienced and engaging Data Science & AI Trainer to deliver high-quality learning experiences both online and offline. This role involves teaching, mentoring students and professionals through live sessions, recorded videos, and in-person training. You’ll be responsible for designing and delivering modules in core Data Science and Artificial Intelligence topics, tailored for corporate learners, and upskilling programs. Key Responsibilities: Design and deliver comprehensive training sessions on topics such as Python for Data Science, Machine Learning, Deep Learning, and AI applications Conduct both online video-based classes Host live webinars, pre-record instructional videos, and confidently present on camera Deliver hands-on workshops using tools like Python, Pandas, NumPy, Scikit-learn, TensorFlow, and Keras Coordinate with curriculum, pedagogy, product, and technical teams for continuous improvement Continuously revise training materials to stay updated with industry trends Provide student feedback, assess progress, and support career-readiness (mock interviews, project reviews) Required Qualifications & Skills: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields 2–5 years of experience in Data Science, AI, or technical training Proficient in Python, Scikit-learn, Pandas, NumPy, TensorFlow/Keras, and SQL Strong understanding of machine learning algorithms, deep learning concepts, and data wrangling Offline and On-camera confidence and prior experience in video-based instruction or webinars Excellent communication, presentation, and mentoring skills Experience with LMS platforms and e-learning content is a plus Pay Range 5 LPA - 15 LPA Office timings - 10 am to 7 pm Additional Information Office Timings Monday to Saturday - 10 am - 7 pm

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person

At 5X, we help companies organize their data and make it actionable Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks Thats why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl, Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions, Create and optimize data models to support client reporting and analytics needs, Proactively communicate with clients to provide project updates and address any issues or concerns, Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members, Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes, Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions, Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development, Experience in designing, developing, and deploying machine learning models into production environments, Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks, Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis, Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions, Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus, Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X Were a global, remote-first company building the platform we wish we had and today, it powers the data teams building whats next At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers Our customers find it impossible to think of a world outside of 5X, We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires At 5X prioritize all 4, We wholeheartedly embrace remote work: If we cant build it from a hammock in Bali, were doing something wrong 5X fully embraces remote work We trust you will find the right balance, Transparency is fundamental to us: We put everything on the table for everyone to see This means that you have our permission to ask the tough questions and we will answer We don't like playing political games, Togetherness is at the core of our culture: We work together to maximize our potential We are there for each other and treat others as we expect to be treated This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X co/ LinkedIn: https:// linkedin /company/datawith5X/mycompany/ Glassdoor: https:// glassdoor co in/Reviews/5X-Reviews-E6110869 htm 5X in 2 minutes: https:// youtube /watchv=45Ppi00Lw70 Show

Job Title: Machine Learning Engineer Pricing Optimizer Development Relevant Experience - 5 to 8 Years Bangalore location - Hybrid Mode Immediate Joiners only preferred Role Overview We are looking for a skilled ML Engineer to design and build a robust, interpretable, and scalable optimization engine that enables data-driven pricing decisions. The engine will leverage SKU-level demand, elasticity, and profitability data to recommend optimal pricing strategies based on business goals. Key Responsibilities Refactor and enhance the existing optimization logic for speed, scalability, and modularity. Model price-volume relationships using elasticity inputs at SKU and brand levels. Develop optimization logic using constrained techniques (e.g., linear/quadratic programming). Integrate business rules and constraints such as price bounds, SKU/brand-level caps, and TDP limits. Enable scenario-based optimization with user-defined goals (e.g., maximize profit or volume). Support multi-brand optimization without interdependency between SKUs and brands. Collaborate with cross-functional teams to validate model behavior and outcomes. Inputs You’ll Work With SKU-level data: volume, elasticity, profitability, TDP, and price bounds. Business rules: brand-level caps, SKU exclusions, optimization targets. Deliverables Modular Python-based optimization engine. JSON-based input/output support for seamless integration. Logging and fallback mechanisms for infeasible constraints. Unit tests and validation with historical data. Tech Stack & Skills Proficient in Python, especially NumPy, Pandas, SciPy or Pyomo/CVXOPT. Experience with constrained optimization techniques. (Preferred) Background in price optimization, demand modeling, or econometrics.

Role Overview: We are looking for a Data Analyst with strong Python expertise to join our growing Analytics Team in Kolkata. The ideal candidate will have 3-4 years of experience in data analysis using Python, with hands-on skills in data manipulation, statistical logic, and backend data workflows. This is a full-time, on-site position requiring daily collaboration with cross-functional teams to deliver insights and scalable data solutions. Key Responsibilities: 1. Use Python to clean, transform, and analyze structured and semi-structured datasets. 2. Employ Pandas, NumPy, and related libraries to develop robust, reusable data workflows. 3. Extract and manipulate data efficiently using complex SQL queries from multiple relational databases. 4. Apply statistical methods and logic checks to validate assumptions and interpret results. 5. Collaborate with Data Scientists and Project Stakeholders to translate business requirements into data logic. 6. Write and maintain clean, well-documented Python scripts for repeatable analysis tasks and backend data processing. 7. Perform data validation, mapping, and reconciliation using Python and Advanced Excel. 8. Follow best practices in version control (e.g., Git) and maintain clear documentation for analytics processes. 9. Apply statistical techniques such as regression analysis (linear, logistic) and hypothesis testing to derive actionable insights from business data. Required Skills & Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related technical field. 2. 34 years of experience in a data analyst or data operations role with Python as the primary tool. 3. Strong knowledge of Python libraries such as Pandas, NumPy, Openpyxl, etc. 4. Proficient in SQL with the ability to write optimized, multi-table queries. 5. Strong Excel skills for data verification and supplementary reporting. 6. Knowledge of data visualization tools like Tableau or Power BI is beneficial. 7. Experience working with Git repositories, agile environments, and code documentation. 8. Sharp analytical thinking and a strong sense of ownership toward deliverables. 9. Working knowledge of regression models (linear, logistic) and familiarity with libraries such as Statsmodels or scikit-learn for statistical analysis.

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert. You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale. 🎯 Key Responsibilities 🧩 Product Management: Define product vision, roadmap, and AI use cases aligned with business goals. Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features. Translate ambiguous problem statements into clear, prioritized product requirements. ⚙️ AI/ML Engineering & Model Development Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc.). Build pipelines for data preprocessing, model training, evaluation, and deployment. Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc. Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal). 🤖 AI Agents & LLM Tooling Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc. Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG). Continuously monitor, test, and improve LLM behavior, safety, and output quality. 📊 Data Science & Analytics Explore and analyze large datasets to generate insights and inform model development. Conduct A/B testing, model evaluation (e.g., F1, BLEU, perplexity), and error analysis. Work with structured, unstructured, and multimodal data (text, audio, image, etc.). 🧰 Preferred Tech Stack / Tools Languages: Python, SQL, optionally Rust or TypeScript Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker ML Ops: MLflow, Weights & Biases, DVC, Kubeflow Data: Pandas, NumPy, Spark, Airflow, Databricks Vector DBs: Pinecone, Weaviate, FAISS Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral Tools: Git, Docker, Kubernetes, REST, GraphQL 🧑‍💼 Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field. 10+ years of experience in core ML, AI, or Data Science roles. Proven experience building and shipping AI/ML products. Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation. Strong product thinking and ability to work closely with both technical and non-technical stakeholders. Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision 🌟 Bonus Skills Experience with autonomous agents and multi-agent orchestration. Open-source contributions to ML/AI projects. Prior Startup Or High-growth Tech Company Experience. Knowledge of reinforcement learning, diffusion models, or multimodal AI. Skills: text,claude,vision,hugging face transformers,sagemaker,hallucination reduction,langchain,genai safety,machine learning,data science & analytics,transformers,crewai,gcp,open-source contributions to ml/ai projects,startup,chromadb,graphql,pipelines,diffusion models,llm architectures,prompt engineering,gpt,weaviate,cohere,structured, unstructured, and multimodal data,docker,autogen,ai/ml products,model development,git,ai use,a/b testing,core ml,code,ai/ml engineering & model development,vertex ai,architect intelligent ai agents,tensorflow,bleu,ai-driven features,error analysis,roadmap,typescript,retrieval-augmented generation (rag),model training,multimodal ai,weights & biases,image,generative ai,hugging face,ray,f1,explore and analyze large datasets,spark,kubernetes,data science,product management,autonomous agents,mlflow,multimodal,ai,rest,google gemini,model evaluation,computer vision,mistral,vector databases,sql,engineering,airflow,output quality,pinecone,langgraph,reinforcement learning,pandas,llms,rust,ai-powered features,fastapi,multi-agent orchestration,embeddings,python,aws,ml models,kubeflow,pytorch,azure,dvc,openai,faiss,databricks,audio,ai engineering,numpy,anthropic,define product vision

We are seeking a skilled Data Science Trainer to join our team. Salary: ₹35,000 - ₹60,000 per month Experience: 5 to 10 years Job Type: Full-time, Permanent, Fresher Skills Required: Expertise in Machine Learning Proficiency in Power BI Strong knowledge of Artificial Intelligence In-depth knowledge of Core Python and Advanced Python Proficiency in libraries like Numpy, Pandas, and Matplotlib Excellent Hands-on English Language to Deliver the Lesson on various video Channels / offline / online trainings also (trainings delivery experience for freshers and experience candidates). Qualification: Graduate degree (B.Tech, BCA, or MCA preferred) - Any graduate can also apply with good knowledge. Requirements: Excellent communication skills in English. Ability to deliver engaging and practical training sessions. Experience in creating training materials and curriculum development. Job Type: Full-time, Work from Office Location: G-13, 2nd Floor, Sector 3, Near Sec 16 Metro Station, Noida If interested, please send your CV to hr@tpointtech.com or contact us at ‪ +91-8448085414‬ .

Job Title: Data Analytics Mentor Job Type: Full-Time Location: Remote (India) Experience Required: 6+ Years Job Description We are hiring a full-time Data Analytics Mentor to join our team in a remote capacity. This role is focused on delivering high-quality training, mentorship, and career guidance to aspiring data analysts. The ideal candidate will have strong industry experience, excellent communication skills, and a passion for helping learners become job-ready through hands-on support and real-world insights. Key Responsibilities Deliver live, interactive online sessions covering core data analytics topics such as data wrangling, data visualization, statistical analysis, Excel, SQL, and Python. Guide learners through practical assignments and capstone projects to strengthen their problem-solving skills and portfolio. Provide personalized feedback, career mentorship, and interview preparation assistance. Collaborate with the internal team to improve curriculum and ensure training content remains current and relevant to industry needs. Evaluate learner performance through project reviews and one-on-one guidance. Required Qualifications A minimum of 6 years of experience in data analytics, business intelligence, or a related role. Proficiency in SQL , Excel , Python (Pandas, NumPy), and data visualization tools such as Tableau , Power BI , or Google Data Studio . Strong understanding of data analysis techniques, data storytelling, and reporting methods. Experience in mentoring, training, or teaching in a professional or academic setting is preferred. Excellent communication and interpersonal skills. Relevant certifications (e.g., Microsoft Data Analyst Associate, Tableau Desktop Specialist) will be an added advantage. Additional Information This is a remote, full-time employment opportunity. Compensation will be based on experience and aligned with industry standards. Candidates must be legally authorized to work in India.

Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios