Job Summary: We are looking for a skilled Python Developer to build scalable applications, develop software solutions, and support data-driven decision-making. Knowledge of data engineering concepts is a strong plus. Work Mode: Remote work Laptop collection from office (travel/accommodation not provided) In-office presence required once every 6 months for 5 days (based on project need) Mandatory Skill Set: Strong hands-on experience with Python and Python libraries (Pandas, NumPy) Proficient in SQL and R Familiarity with Object Relational Mappers (ORMs) Experience with Python web frameworks (Django or Flask) Solid understanding of RESTful APIs and JSON Basic experience in .NET Framework, C#, ASP.NET (preferred) Excellent communication and teamwork skills Strong problem-solving and organizational abilities Key Responsibilities: Design and develop applications using Python Collaborate with cross-functional teams and clients Perform application testing and provide post-deployment support Regularly update and maintain software solutions Work with data to derive insights and document tools and strategies securely

1-3 years of proven working experience utilizing Python and Pandas for application & automation programming Strong experience in Python Programming & developing API's Knowledge of REST API design & frameworks Experience in file handling in python Required Candidate profile Skills: Python, Pandas, API development, REST API design & frameworks, GIT, file handling in python Resident of Navi Mumbai preferably

Your Team Responsibilities Datadesk is a Go to team for any data requirements, new vendor data on-boardings across business units within MSCI, As part of Datadesk, you are proficient in handling a diverse range of datasets, including (Equity, FI, Crypto, Pharma, Thematic, ESG, Private, etc ) Datadesk is a Centralized team to manage askData service, Datadesk also Participates in integration of recently acquired companies, Early adopter of new technologies (AI, Cloud, DSP, etc ) Your Key Responsibilities Utilize Python and frameworks like pandas, numpy, and dask to process, aggregate, and manipulate large financial datasets, Apply statistical modeling and AI techniques to improve data processing, forecasting, and decision-making, Identify opportunities for AI adoption in data processing, analytics, and decision-making, Ensure data quality, integrity, and consistency across different sources, Create presentations and reports that effectively communicate data findings to stakeholders, Take ownership of assigned tasks with minimal supervision, ensuring timely and high-quality deliverables, Your Skills And Experience That Will Help You Excel Degree in computer science, statistics, Information Technology and/or Finance with 4 -7 years of professional experience, You are proficient in PYTHON and it's various frameworks like pandas , numpy and dask, Good knowledge in statistics as well as statistical modelling which will be used for aggregating big data set , resampling data, and explaining data, Data Visualization Framework like Power Bi , Stream lit or any other Python Frontend framework is a plus, You have strong interest in Finance work experience in finance and /or capital markets You have experience dealing with providers of financial data products (MSCI, Refinitiv, ICE, S&P, Factset etc ) preferred Good communication skills (written and oral) and proficiency in creating presentations, You are an independent worker who can drive certain parts of the work with minimal oversight About MSCI 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 Womens Leadership Forum, At MSCI we are passionate about what we do, and we are inspired by our purpose to power better investment decisions Youll 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 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

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process Mandatory Key Skills Python,C++,Numpy,Pandas,Machine Learning,Deep Learning,Tensorflow,Pytorch,Model Tuning,Docker,Git,ETL,AI- Vision*

Hello Candidates we are Hiring! Experience- 5+ years Work Mode - WFO Python developer - Mumbai/Bangalore Following are the expectations from the client. Python Data structures pandas, numpy Data Operations - DataFrames, Dict, JSON, Lists, Tuples, Strings Oops & APIs (Flask/FastAPI) AWS services (IAM, EC2, Lambda, S3, DynamoDB, etc.,) The candidate should be good in both theory and hands-on experience. We should take the coding test in the interview. NOTE: Candidates can share their resume- shrutia.talentsketchers@gmail.com

Strong Expertise in Python, Pandas, Multi Processing (Celery, RabbitMQ, Redis) Experience with database technologies like MongoDB MySQL; Experience building well documented modern, data-driven web applications and web APIs with emphasis on strong software design methodologies Must have experience on web services and APIs (REST, JSON and similar) and creation and consumption of RESTful APIs Strong in Python Back end Programming and high level of trouble shooting Familiarity with version control with GIT, BitBucket, SVN or similar Exposure to artificial intelligence/Machine Learning and Natural language Processing -nice to have Exposure to DevOps tools including Kubernetes Able to integrate multiple data sources and databases into one system with possible vendor API integrations. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Should be able to mentor and guide junior members Location: Bengaluru,Chennai,Pune,Noida,Mumbai,Hyderabad,Kochi Keywords Pandas,Celery,RabbitMQ,Redis,MongoDB MySQ,RESTful APIs,GIT,BitBucket,SVN,DevOps,Kubernetes,JavaScript,HTML5,CSS3,Python*

What you'll be doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Role & responsibilities Role: Senior Technical Lead Skill : AI/ML/GENAI, Python ( NumPy,Pandas, Scikit-learn, Keras, Flask, SciPy , TensorFlow, NLTK),GPT/PaLM/BERT, BART, Azure Cloud Billing Rate: USD 28 #of positions: 1 Work Location; Chennai (preferred), Bangalore , Hyderabad, Noida, Pune Notice Period: Immediate Joiners Those who are interested may send their resume to aswathy.rajan@hcltech.com

Location: Bangalore, Hyderabad, Chennai Notice Period: Immediate to 20 days Experience: 5+ years Relevant Experience: 5+ years Skills: Data Engineer, Azure, Python, Panda, SQL, Pyspark, SQL, Databricks, Data pipeline, Synapse

EPSoft is looking for Python developer to join our dynamic team and embark on a rewarding career journey. Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT KEARNEY: Kearney is a leading global management consulting firm with more than 5,300 people working in more than 40 countries. We work with more than three-quarters of the Fortune Global 500, as well as with the most influential governmental and nonprofit organizations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundariesand it shows. Regardless of location or rank, our consultants are down to earth, approachable, and have a shared passion for doing innovative client work that provides clear benefits to the organizations we work with in both the short and long term. ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter — from pricing freight and planning networks to allocating assets and reducing waste. We’re looking for a Data Analytics Engineer / Data Scientist who’s excited to solve hard operations problems, build AI models that get embedded into our products, and help our customers get smarter through data. If you love building applied ML solutions and developing new ideas at the intersection of logistics and optimization, this role is for you. POSITION OVERVIEW: Build machine learning and optimization models to support pricing, routing, and network planning Partner with product and engineering teams to embed AI algorithms into customer-facing software Analyze freight networks and develop insights that drive operational efficiency Use PostgreSQL and Apache Superset to develop internal and customer-facing analytics as needed Prototype innovative solutions to unstructured problems using Python, OR techniques, and statistical methods Understand how customers interact with the platform and develop analytics to support adoption and value delivery What We’re Looking For: 3+ years of experience in data science, analytics engineering, or operations research Proficiency in Python, SQL, and relevant data/ML libraries (e.g., pandas, scikit-learn, XGBoost) Strong grasp of optimization techniques, network models, or decision science Familiarity with data visualization tools — especially Apache Superset Ability to work with real-world, messy logistics data and extract actionable intelligence Curiosity and creativity in approaching open-ended product and analytics challenges Bonus Points For: Experience in transportation, logistics, or freight planning Hands-on experience with graph analytics or geospatial data Experience productionizing ML/OR models within SaaS applications Exposure to pricing algorithms, dynamic optimization, or network simulations Why Kearney HOPTEKAI: Applied AI, Real Impact: Your work powers critical product decisions — from what to bid, to where to send the next truck Innovation-Driven: You’ll get to explore new techniques and shape the future of optimization in freight Close Loop from Data to Product: Help us transform ideas into algorithms, and algorithms into product features Mysuru Preferred: Collaborate on-site with our core team — or work remotely within India We’re Hiring Fast: Join a high-impact team at a critical growth moment Equal Employment Opportunity and Nondiscrimination HOPTEK, A Kearney Company, prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. HOPTEK, A Kearney Company, aims to build diverse capabilities to help our clients solve their most mission-critical problems. HOPTEK, A Kearney Company, is committed to building a diverse, unbiased, and inclusive workforce. We are an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

Role Data Scientist Primary Skill Python (DSA) Exploratory data analysis using pandas,numpy, Seaborn, Matplotlib TensorFlow, PyTorch, Scikit-learn Large-language models, RAG, MCP , Agentic AI Azure Cognitive services /Azure AI foundry Vertex- AI Secondary Skill Github Agile Problem solving skills System design thinking. Observability Experience 4 to 6 years

Introduction A2G Technologies is looking to hire Python Developer for our high tech Client in India (Hyderabad) Experience Level: 4+ years Job Description/Job Purpose You will be responsible for creating clear specifications, making the efficient design choices and to make it happen by also implementing, testing and integrating the design. Customer satisfaction is the number one driver for and thus for every software engineer. Experience Experience in Development Python and Rest API Expertise UI development skills( React JS/ Angular JS) Immediate joiners will be preferred. Candidates with one month notice period can apply

Role & responsibilities Design, build and maintain complex ELT jobs that deliver business value • Translate high-level business requirements into technical specs • Ingest data from disparate sources into the data lake and data warehouse • Cleanse and enrich data and apply adequate data quality controls • Develop re-usable tools to help streamline the delivery of new projects • Collaborate closely with other developers and provide mentorship • Evaluate and recommend tools, technologies, processes and reference architectures • Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements Basic Qualifications • Bachelors degree in computer science, engineering or a related field • Data: 5+ years of experience with data analytics and warehousing • SQL: Deep knowledge of SQL and query optimization • ELT: Good understanding of ELT methodologies and tools • Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues • Communication: Excellent communication, problem solving and organizational and analytical skills • Able to work independently and to provide leadership to small teams of developers Preferred Qualifications • Master’s degree in computer science or engineering or a related field • Cloud: Experience working in a cloud environment (e.g. AWS) • Python: Hands on experience developing with Python • Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka • Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) • Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation) Preferred candidate profile

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes: Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures of Outcomes: Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Outputs Expected: Code: Code as per design Follow coding standards templates and checklists Review code - for team and peers Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure: Define and govern configuration management plan Ensure compliance from the team Test: Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain relevance: Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project: Manage delivery of modules and/or manage user stories Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate: Create and provide input for effort estimation for projects Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release: Execute and monitor release process Design: Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface with Customer: Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team: Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications: Take relevant domain/technology certification Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware's. Strong analytical and problem-solving abilities Knowledge Examples: Appropriate software programs / modules Functional and technical designing Programming languages - proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile - Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments: Mandatory Skills, Knowledge, and Experience: - Python Development (6+ years): Strong backend development experience, including RESTful APIs and FastAPI. - Generative AI & OpenAI: Practical experience in working with Gen AI models and integrating OpenAI APIs into real-world applications. - API Development: Proven track record of building and maintaining REST APIs with FastAPI, including authentication, authorization, and rate-limiting. - Data Engineering: Expertise in ETL processes, data transformation, and analysis using Pandas. - LLM Prompt Engineering: Experience in prompt design and optimization for large language models. - Python Data Science Libraries: Proficient in Pandas, NumPy, and other data tools for processing and analysis. - Version Control & CI/CD: Proficient with Git and CI/CD pipelines for automated deployment and testing. - Agile/Scrum: 3+ years of experience working in Agile/Scrum environments. - Testing & Automation: Experience in unit, integration, and automated testing with pytest and unittest. - Communication: Strong verbal and written communication, with the ability to explain technical concepts to diverse stakeholders. - Non-Functional Requirements: Experience with performance optimization, scalability, and security in data-centric applications. Nice to Have Skills: - Cloud Platforms: Familiarity with AWS or GCP, particularly in scalable APIs, serverless architecture, and data storage. - Data Pipelines: Knowledge of Apache Airflow, Kafka, or similar tools for data workflow orchestration. - ML Frameworks: Experience with scikit-learn, TensorFlow, or PyTorch for model training and deployment. - Code Quality Tools: Familiarity with SonarQube, ESLint, or similar tools for maintaining high code quality. Required Skills Python,Generative AI,API,Etl Tools

Responsibilities: - Interpret data, analyze results using statistical techniques, and provide ongoing reports. - Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data. - Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems. - Identify, analyze, and interpret trends or patterns in complex data sets. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Work with management to prioritize business and information needs. - Locate and define new process improvement opportunities. Requirements : - Bachelor's or Master's degree in statistics/mathematics/engineering. - 2+ years of experience as a Data Analyst or Business Data Analyst. - Technical Expertise in data models, database design, development, data mining, and segmentation techniques. - Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn). - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Keen interest in solving problems using data and providing a new perspective to stakeholders.

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Bangalore (hybrid) , Chennai. Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

- Collaborate with a dynamic team in a fast-paced environment to develop and maintain Python-based applications. - Write clean, scalable, and well-documented code.- Design and implement software solutions, ensuring high performance and responsiveness.- Optimize code for maximum efficiency and maintainability.- Collaborate with cross-functional teams to define, design, and ship new features.- Contribute to the entire software development lifecycle, from concept to deployment.- Troubleshoot, debug, and address software defects and issues.- Stay updated on industry best practices and emerging technologies.Skills : - Strong proficiency in Python and Pandas- Knowledge of database systems : MySQL, PostgreSQL, MongoDB. - Familiarity with version control systems, particularly Git.- Linux proficiency, with experience in system administration.- Exposure to DevOps practices and tools.- Exposure to cloud services, particularly AWS.

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Skills: Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn, Sr AI/ML Developer Experience8-10 Years LocationThane / Vikhroli, Mumbai About The Role We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments. Show more Show less

Job TitleData Scientist (OpenCV) Experience0"“1 Year LocationBangalore Notice PeriodImmediate Joiner Job Summary We are seeking a highly motivated and enthusiastic Data Scientist with a passion for computer vision and hands-on experience in OpenCV This is an excellent opportunity for recent graduates or early-career professionals to contribute to real-world projects involving image processing, computer vision, and machine learning. Key Responsibilities Work on image and video processing projects using OpenCV and Python. Assist in developing computer vision models for object detection, recognition, and tracking. Preprocess and analyze image datasets to extract meaningful insights. Collaborate with senior data scientists and engineers to integrate models into production environments. Conduct experiments and contribute to research-oriented tasks in the field of computer vision. Document processes, models, and results for internal review and external presentation. Required Skills Strong knowledge of OpenCV and image processing techniques. Proficiency in Python and related libraries (e.g., NumPy, Pandas, Matplotlib). Understanding of basic machine learning and deep learning concepts. Familiarity with tools like Jupyter Notebooks, TensorFlow, or PyTorch is a plus. Good problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or a related field. Internship or academic project experience in computer vision or image processing. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. What We Offer A collaborative and learning-driven environment. Mentorship from experienced professionals. Opportunity to work on innovative projects with real-world impact. Competitive salary and benefits. Show more Show less

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced AI/ML Engineering Manager and Technical Specialist to lead our team of dedicated professionals. The ideal candidate will have 8-14 years of hands-on experience in artificial intelligence and machine learning, with a proven track record of managing complex projects and driving innovation. This role requires a blend of technical expertise, leadership capabilities, and strategic vision to advance our AI/ML initiatives and deliver impactful solutions. Primary Responsibilities Leadership and Management Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance work environment Oversee the planning, execution, and delivery of AI/ML projects, ensuring alignment with company goals and timelines Collaborate with cross-functional teams including product managers, software engineers, and business stakeholders to define project requirements and deliverables Conduct regular performance evaluations, provide feedback, and identify opportunities for professional growth and development Technical Expertise Design and implement state-of-the-art AI/ML models and algorithms to solve complex business problems Stay abreast of the latest advancements in AI/ML technologies and best practices, ensuring the team adopts cutting-edge methodologies Lead the development and optimization of data pipelines, ensuring data quality and integrity throughout the AI/ML lifecycle Evaluate and select appropriate tools, frameworks, and platforms to enhance the efficiency and scalability of AI/ML solutions Strategic Vision Develop and execute a comprehensive AI/ML strategy that aligns with the company's long-term objectives and market trends Identify new opportunities for AI/ML applications and drive innovation to maintain a competitive edge Collaborate with senior leadership to secure resources and funding for AI/ML initiatives Represent the company in industry conferences, workshops, and other forums to showcase our AI/ML capabilities and thought leadership Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. (a plus) 8+ years of experience in AI/ML development, with at least 3 years in a managerial or leadership role Proven experience in designing, developing, and deploying AI/ML models in real-world applications Solid programming skills in languages such as Python, R, or Java, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn Proven excellent problem-solving skills, with the ability to think critically and strategically about AI/ML solutions Proven outstanding communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders Preferred Qualifications Experience with big data technologies such as Hadoop, Spark, or Kafka Familiarity with cloud platforms like AWS, Google Cloud, or Azure, and their AI/ML services Background in natural language processing (NLP), computer vision, or reinforcement learning Demonstrated ability to manage multiple projects and priorities in a fast-paced environment Published research papers or patents in the field of AI/ML

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI ImplementationImplement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and InterpretationAnalyze large datasets to extract meaningful insights and trends using Python and data science techniques Model DevelopmentDevelop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and CleaningData Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and InterpretationOne of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and VisualizationData Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and CommunicationEffective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and ForecastingAdvanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python ProficiencySolid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras)