1583 Pandas Jobs - Page 29

Hiring Fullstack Python Developer with 1+ yrs exp. Must know Python, Pandas, HTML, CSS, JS & AWS. Good English needed. Bonus: Streamlit, AWS Bedrock, Docker/K8s, DB design. Work remotely on global projects.

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelors or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth.

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

Description: We are seeking an experienced and highly analytical Anaplan Model Builder / Architect to design and develop scalable Anaplan solutions, particularly in Sales Planning and Sales Performance domains. The ideal candidate will have a solid understanding of end-to-end model building, strong analytical skills, and the ability to work cross-functionally to support finance and operations planning Requirements: Proven track record in Anaplan solution architecture or model building (3+ years preferred). Experience with Sales Forecasting (under Steff), FP&A, Navision ERP, and Blackline for Reconciliation is highly desirable. Numerically literate with a STEM undergraduate degree (Engineering, Mathematics, or related). Experience or exposure to Anaplan extensions like PlanIQ, Optimizer, Workflow, and Polaris is a plus Strong attention to detail, modeling best practices, and end-user experience orientation. Engineering mindset to develop configurable, fault-tolerant model designs. Job Responsibilities: Model Development: Design and build scalable, best-in-class Anaplan models across Finance, Sales, Supply Chain, and Workforce Planning. Stakeholder Collaboration: Work closely with product managers and business analysts to capture requirements and propose practical solutions. User-Centric Design: Deliver intuitive, user-friendly dashboards and workflows focused on adoption and usability. Testing & Documentation: Lead UAT processes, prepare release documentation, and ensure models meet performance and compliance standards. Cross-Team Enablement: Collaborate with go-to-market and professional services teams to enhance model effectiveness and drive platform value. Platform Innovation: Leverage advanced Anaplan capabilities to solve complex planning challenges. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

The Opportunity Are you passionate about building intelligent, enterprise-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks? At Nutanix, we're looking for a skilled and experienced AI/ML engineer to help shape the future of generative AI within our SaaS Engineering organization. As a senior member of our team, youll work at the cutting edge of AI innovationdeveloping and deploying state-of-the-art LLMs and embedding models, optimizing model performance, and building scalable ML pipelines with real-world impact. About the Team At Nutanix, you will be joining a dynamic central platform team that plays a pivotal role in revolutionizing our approach to artificial intelligence and machine learning within the SaaS Engineering group. Comprising eight experienced engineers, our team specializes in addressing the GenAI, machine learning, and data science needs of various squads within the organization. Our diverse skill set ensures we collaborate effectively to create innovative solutions, leveraging the latest advancements in technology to drive our initiatives forward. Your Role Design and deploy Retrieval-Augmented Generation (RAG) pipelines . Build, fine-tune, and deploy LLMs and embedding models such as LLaMA 3 , Gemma , Mistral , and other domain-specific transformers. Fine-tune both LLMs and embedding models for specialized enterprise tasks including Q&A, summarization, classification, and conversational AI. Develop and maintain agentic frameworks capable of orchestrating task-specific intelligent agents with memory, planning, and tool-use capabilities. Build and evaluate custom agents for use cases like document analysis, data querying, and interactive user support. Implement evaluation frameworks for LLM outputs, including both automated metrics and task-specific success criteria. Work closely with data engineering teams to develop custom training pipelines and extract meaningful insights from large-scale internal datasets. Develop MLOps pipelines for training, deployment, and monitoring using tools like MLflow , Kubeflow , and custom CI/CD workflows. Deploy optimized inference endpoints for high-performance, low-latency model serving at scale. Manage vectorization workflows using advanced embedding models and vector databases for semantic search and content retrieval. Demonstrate working knowledge of LangChain, OpenAI function-calling, vector databases and scalable retrieval logic. Work with Kubernetes clusters to provision, scale, and monitor AI/ML workloads; understand GPU, CPU, and storage hardware requirements for efficient deployment. Collaborate with cross-functional teams including backend, data, and infrastructure engineers to integrate models seamlessly into production systems. What You Will Bring Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, or a related field. 5+ years of hands-on experience building, deploying, and maintaining AI/ML systems in production environments. Strong foundation in MLOps, including model versioning, CI/CD, monitoring, and retraining workflows. In-depth understanding of Kubernetes (K8s) and GPU-based infrastructure, including container orchestration and GPU scheduling for AI workloads. Experience working with Elasticsearch for semantic search and integrating it within RAG or LLM-driven architectures. Proficient in Python (core ML libraries like PyTorch, Pandas, and NumPy). Hands-on experience using Jupyter Notebooks for experimentation, documentation, and collaboration. Comfortable with Unix-based systems, shell scripting, and command-line tooling for ML operations and debugging. Familiarity with LangChain, LLM orchestration, and vector database integration. Strong collaboration and communication skills, with the ability to mentor junior team members and drive initiatives independently. Open-source contributions or published work in the ML/AI domain is a plus.

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

Overview MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with “electronification” of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework “Codify” data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of “Facts” from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Qualifications Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Work with the AI team to develop and improve AI-powered educational tools Develop and train AI models using various machine-learning techniques Test and evaluate the performance of AI models Integrate AI technology into our products Required Candidate profile Understanding of machine learning algorithms Proficient in Python and related libraries such as NumPy, Pandas TensorFlow or PyTorch Natural language processing (NLP) and computer vision (CV)

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Role Type: Location: Reports to: Data Scientist Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 2 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 2-3 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3 Walk in details: 9 AM to 12 PM on 12th July 2025 Venue Details Resulticks Edge Solution Technologies Pvt. Ltd No 37, 6th Floor, PM Tower, Greams Road, Thousand Lights, Chennai - 600006 (Landmark: IDBI Bank on the Ground Floor) Contact – Sai Lochini 7904358724 Click here to locate on Maps

Dear Candidate, We are hiring a Flask Developer to create lightweight and high-performance web services using Python. Key Responsibilities: Develop web APIs using Flask and deploy them on cloud or containers Use SQLAlchemy or MongoEngine for data access Write modular blueprints and configure middleware Perform request validation and error handling Work on REST/GraphQL integration with frontend teams Required Skills & Qualifications: Expertise in Flask , Python , and Jinja2 Familiar with Gunicorn , Docker , and PostgreSQL Understanding of JWT , OAuth , and API security Bonus: Experience in FastAPI or Flask-SocketIO Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

About the job: Key responsibilities: 1. Develop and maintain scalable backend systems 2. Implement RESTful APIs and backend services using Python, Flask, and PostgreSQL/DynamoDB to support core features of the mutual fund portfolio management platform 3. Design efficient database schemas and ensure seamless integration with backend services 4. Create and scale database structures using SQL and NoSQL aligned with product goals 5. Collaborate cross-functionally with product and data teams to build backend solutions powering personalized financial insights 6. Contribute to frontend integration using JavaScript and HTML with a full-stack mindset 7. Maintain clean, tested, and high-performance code using tools like Pandas, PyTest, and Docker Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 2,90,000 - 3,50,000 /year Experience: 1 year(s) Deadline: 2025-08-04 23:59:59 Skills required: HTML, JavaScript, Python, SQL, Algorithms, Data Structures, Django, PostgreSQL, NoSQL, Docker, REST API, Database Management System (DBMS), Flask, PyTest, Pandas and Amazon DynamoDB Other Requirements: Applying candidates should be a computer science engineering graduate. About Company: Quant-Driven Investment Platform | Data Science Meets Financial Expertise Revolutionizing investing with Quant Strategies & expert insights. At Investeeks, we merge the power of data-driven decision-making with the wisdom of seasoned financial experts to create a smarter investment experience. Our platform is backed by cutting-edge Quant Strategies curated by passionate engineers, ensuring precision, efficiency, and maximized returns. We're not just another investment platform we're here to redefine the industry. Join us as we empower a new generation of investors with intelligent solutions tailored for success. Come join us and witness the journey of democratizing sophisticated investment strategies for millions of Indians while kickstarting your career in fintech innovation.

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Develop modular, reusable components for internal AI projects , ensuring scalability and long-term usability. Collaborate with the team to manage tasks within a structured Agile framework , while ensuring priority tasks are addressed efficiently during each sprint. Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks. Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking. Take ownership of tasks while working within an established structure and manage changing priorities when necessary. Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks. Required education Bachelor's Degree Required technical and professional expertise 2+ years of relevant industry experience Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects). Demonstrated innovation and creativity in AI-related projects or any technical domain. Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.). Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes. Strong communication skills and an ability to work well with different teams to ensure project success and progress. Preferred technical and professional experience Familiarity with AI frameworks and libraries (such as TensorFlow , PyTorch , scikit-learn , etc.). Experience with version control systems like Git . Experience in Agile development processes, task management, and team communication.

Role Senior Python Software Engineer Experience 7+ Years CTC – 25 LPA Shift Timings - US Shift (6PM - 3AM) Skills – Strong hands-on experience in Python3 application development, deployment & maintenance. Must have experience with FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues like Celery, Kafka, or RabbitMQ. Should have worked in a Linux/Unix environment with good scripting and troubleshooting skills. Expertise in building scalable, high-performance, and secure applications. Strong in unit testing, integration testing, and CI/CD practices. Good knowledge of version control, Python packaging tools (Poetry, setuptools), and automation. Must be a self-starter with the ability to set up Python environments from scratch. Excellent debugging, analytical, and problem-solving skills. Bachelor’s degree in computer science, Engineering, or equivalent practical experience. Preferred background – Experience publishing packages to PyPI/private repositories. Comfortable compiling Python from source when needed. Familiarity with GitHub Actions or Bitbucket Pipelines. Certifications like AWS/GCP or open-source contributions are a plus.

Requirement: Role: AI/ML Engineer - Freshers Location: Chennai Notice Period: 0 -15 Days Education: Graduation or Post Graduation in Artificial Intelligence Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Looking for an AI/ML Engineer to build smart automation solutions. Must have experience in Python, Node.js, or Java scripting, and strong knowledge of ML/AI techniques and model integration. Required Candidate profile AI/ML Engineer with 4–8 years of experience in developing intelligent testing solutions. Skilled in Python/Node.js/Java, ML model deployment, automation frameworks, and cloud platforms.

We're hiring for the role of Python Developer Job Title Python Developer AI/ML Focus Experience Required: 7+years Location Hyderabad and Bangalore Department: Engineering / AI & Data Science Job Summary: We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will work closely with data scientists, ML engineers, and product teams to build robust and scalable AI-driven applications and APIs. Key Responsibilities Develop and maintain Python-based applications for AI/ML workflows Build APIs and data pipelines to support ML models in production Collaborate with data scientists to integrate and optimize models Write unit and integration tests to ensure software quality Optimize performance of Python code and backend systems Deploy AI solutions using cloud platforms (e.g., AWS, GCP, Azure) Maintain documentation and adhere to best coding practices Required Skills & Experience Strong proficiency in Python 3.x and core libraries (NumPy, Pandas, etc.) Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Good knowledge of REST APIs, Flask/FastAPI, and microservices Hands-on experience with data preprocessing, model training, and evaluation Exposure to Docker, Kubernetes, or CI/CD tools Experience working with SQL/NoSQL databases Preferred Qualifications Familiarity with LangChain, Hugging Face, or other LLM tooling Knowledge of data lake architectures or streaming platforms (Kafka, Spark) Experience deploying models using SageMaker, Vertex AI, or similar platforms Previous experience with AI product development or chatbots/NLP Understanding of MLOps practices Education Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. Note: We're looking for Core Python Developer who have an experience in AI/ML experience not a data scientist profile. Interested Can also share their CV at akanksha.s@esolglobal.com

Responsibilities * Design, develop, test & maintain Python applications using Django framework with Pandas & Numpy libraries for data analysis. *This is an On-Site job. Candidates from or Near Raipur (C.G.) Preferred

Role - Python Developer Job Description Essential Skills Must have technical skills Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda) . Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) Experience with Python libraries and tools ( e.g., Pandas, NumPy, SQLAlchemy) Strong experience in designing, developing, and maintaining RESTful APIs. Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors) Experience in development & low-level design of Warehouse solutions Familiarity with Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation and Oracle performance optimisation techniques. Good to have technical skills: Hands-on experience with Kubernetes for container orchestration Knowledge of deploying, managing, and scaling applications on Kubernetes clusters Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Important: Only applicants available for immediate joining (notice period ending soon or already completed) will be considered.

Python Architeture Python aws AI 8 to 13 yrs notice period- Immediate to 30 days

Educational Bachelor of Engineering,MCA,MTech Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Writing efficient, reusable, testable, and scalable code, Integration of user-oriented elements into different applications, data storage solutions, Keeping abreast with the latest technology and trendsIf you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Basic understanding of project domain Writing scalable code using Python programming language. Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of agile methodologies Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Technical and Professional : Primary skillsPython Django, Fast API, Flask, Pandas, Numpy, Pyramid Preferred Skills: Technology-OpenSystem-Python - OpenSystem-Django

Educational Bachelor of Engineering,MTech,MCA Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional : Primary skills:Technology-OpenSystem-Python - OpenSystemPython Django, Fast API, Flask, Pandas, Numpy, Pyramid Preferred Skills: Technology-OpenSystem-Python - OpenSystem-Django

Role: Gen AI Engineer Location: Hyderabad Experience: 5+ years Mode of Interview: Scheduled in-person interview only Date: 12th July Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients