Job Title: Python Developer Location: Hyderabad ( On-Site ) Job Type: Full-Time Experience : 4 to 7 Years Notice period : Immediate to 15 Days Job Summary We are seeking a skilled and motivated Python Developer with hands-on experience in building APIs using Fast API and Flask . The ideal candidate should be proficient in Python programming and have a strong grasp of data manipulation and analysis using NumPy and Pandas . You will be responsible for developing scalable backend services, integrating APIs, and working closely with data engineering and frontend teams to deliver robust software solutions. Key Responsibilities Design, develop, and maintain using Fast API and Flask. Write clean, reusable, and efficient code in Python. Work with large datasets using NumPy and Pandas for data transformation and analysis. Collaborate with cross-functional teams to gather requirements and implement backend services. Optimize applications for performance, scalability, and reliability. Implement security and data protection protocols in API services. Write unit and integration tests to ensure code quality. Maintain documentation for code, APIs, and system architecture. Required Skills & Qualifications Strong programming skills in Python. Proficiency in developing APIs using Fast API and Flask. Experience with data manipulation libraries like NumPy and Pandas. Familiarity with REST principles and asynchronous programming. Experience with version control tools like Git. Understanding of CI/CD pipelines and containerization (e.g., Docker) is a plus. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. Skills: python,data manipulation,asynchronous programming,skills,fast api,ci/cd pipelines,rest principles,git,api,data,numpy,pandas,docker,flask,code Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Skills required ETL Engineer: Mandatory skills (8+ Years of experience in ETL development with 4+ Years on AWS Pyspark scripting) 1. Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions. 2. Person should be strong in Pyspark 3. Hands on and working knowledge in Python packages like NumPy, Pandas, Etc 4. Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions. Sound knowledge in AWS services is must. 5. Person should work as Individual contributor 6. Good to have familiar with metadata management, data lineage, and principles of data governance. Good to have: 1. Experience to process large set of data transformations both semi and structured data 2. Experience to build data lake & configuration on delta tables. 3. Good experience with computing & cost optimization. 4. Understanding the environment and use case and ready to build holistic Data Integration frame works. 5. Good experience in MWAA (airflow orchestration) Soft skill: 1. Having good communication to interact with IT-Stake holders and Business. 2. Understand the pain point to delivery. Show more Show less

Bounteous, a digital innovation partner of the world's most ambitious brands and Accolite Digital , a leading digital engineering, cloud, data & AI services provider, have announced their merger, creating a new end-to-end digital transformation services consultancy that partners with leading brands around the globe to co-innovate and drive exceptional client outcomes. It was Founded in 2003 in Chicago, Bounteous is a leading digital experience consultancy that co-innovates with the world's most ambitious brands to create transformative digital experiences. With services in Strategy, Experience Design, Technology, Analytics and Insight, and Marketing, Bounteous elevates brand experiences and drives superior client outcomes. For more information, please visit www.bounteous.com. Profile: Python Developer Experience: 4+ Years Notice Period: 0-15 Days Location: Bangalore Skills Required: Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s, experience in linux Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django. Good Problem Solving and Communication skills. Looking for a strong experience in Python with 5+ years of experience Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django. Good Problem Solving and Communication skill Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. Required Skills What We're Looking For Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

We are seeking a passionate and dedicated machine learning intern to join our team. As an intern, you will work closely with experienced data scientists and engineers to develop, test, and deploy machine learning models. This is an excellent opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects. Selected Intern's Day-to-day Responsibilities Include Collaborate with the team to collect, preprocess, and analyze datasets. Develop and train machine learning models for specific use cases. Evaluate model performance using appropriate metrics and improve accuracy and efficiency. Assist in deploying ML models into production environments. Document processes, findings, and insights throughout the project lifecycle. Stay updated on the latest trends and advancements in machine learning and AI. Qualifications Currently pursuing or recently completed a degree in computer science, data science, Machine Learning, or a related field. Strong knowledge of programming languages such as Python (preferred) or R. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Basic understanding of supervised and unsupervised learning, NLP, or computer vision. Hands-on experience with data preprocessing and visualization libraries (e.g., Pandas, NumPy, Matplotlib). Problem-solving mindset and eagerness to learn new technologies. Preferred Skills Experience with SQL and working with databases. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Understanding of version control systems (e.g., Git). About Company: LineupX is a B2B company that streamlines talent acquisition in just 4 easy steps. Our solution integrates human and machine intelligence to deliver an unparalleled experience for organizations and individuals alike. The industry we aim to revolutionize is currently valued at $400 billion globally. LineupX utilizes technology-driven recruitment solutions, employing machine learning and human expertise to redefine global talent acquisition practices. LineupX is an early-stage startup with promising traction, supported by angel investments, and generating revenue. We have been recognized by SINE IIT Bombay as a high-potential startup and endorsed by Canqbate50, a Canada-based startup program aimed at identifying and funding the top 50 startups from India to establish operations in Canada. 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 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. What Primary Responsibilities: Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment How Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks 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 B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 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 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. What Primary Responsibilities: Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment How Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks 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 B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 4+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

About This Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:100853 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 5+ Years Experience | AI & Product Engineering Hubnex Labs is seeking a highly skilled Machine Learning Engineer with strong capabilities in Full Stack Development to lead the development and deployment of production-grade AI systems. This role requires expertise in building end-to-end ML pipelines—from data preprocessing to deployment—while also contributing to the full stack of software platforms that power our solutions. Key Responsibilities Machine Learning & Data Science Understand business goals and translate them into ML-based solutions Develop, analyze, and compare machine learning algorithms for various problem statements Build robust validation strategies and design appropriate preprocessing and feature engineering pipelines Perform data exploration, visualization, and quality verification, including data cleaning and augmentation Train models, tune hyperparameters, and interpret model performance Analyze errors and design strategies to improve model robustness Discover and utilize public datasets for model training and benchmarking Deploy models into production environments with real-world performance and latency considerations Software & System Development Design and develop end-to-end production systems, including backend APIs and frontend interfaces Maintain full stack web applications, ensuring seamless ML model integration Ensure efficient use of hardware resources for training and inference Collaborate cross-functionally with engineering, product, and design teams Technical Skills Required 5+ years of hands-on experience in machine learning and full stack development Proficiency in Python and ML libraries like scikit-learn, pandas, NumPy, etc. Deep learning experience using TensorFlow, Keras, or equivalent frameworks Proficiency with OpenCV and image/video processing techniques Experience with data visualization tools and big data handling Strong understanding of data pipelines, feature engineering, and augmentation techniques Proficiency in Full Stack Web Development (e.g., React, Node.js, Express, MongoDB or similar) Experience deploying models using REST APIs, Flask/FastAPI, Docker, etc. Familiarity with Linux environments and GPU-accelerated compute systems Understanding of hardware requirements and optimization for real-time ML performance Why Join Hubnex Labs? Work on impactful AI products deployed in real-world use cases Be a part of a fast-growing tech consulting and product innovation company Collaborate with a diverse team of engineers, data scientists, and innovators Flexible and collaborative culture based in Gurugram, with hybrid work options Ideal Candidate Passionate about building smart systems that go live in production Can operate independently and take full ownership of ML products Blends deep technical skill with product thinking and business awareness Skills: data visualization,node.js,feature engineering,keras,python,flask,pandas,docker,rest apis,data,tensorflow,machine learning,express,linux,full stack development,big data handling,react,fastapi,numpy,mongodb,opencv,models,scikit-learn Show more Show less

Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 4+ Years Experience | AI, Architecture & Product Engineering Hubnex Labs is seeking a visionary and hands-on Full Stack Data Science Architect to lead the development of scalable AI products and reusable intellectual property (IP) that power data-driven solutions across global enterprise clients. This role requires deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. Key Responsibilities AI & Data Science Leadership Lead design and development of end-to-end AI/ML solutions across enterprise applications Architect data pipelines, model training, validation, and deployment workflows Apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, Reinforcement Learning, etc. Evaluate and rank algorithms based on business impact, accuracy, and scalability Design and optimize data augmentation, preprocessing, and feature engineering pipelines Train, validate, and fine-tune models using state-of-the-art tools and strategies Monitor and improve model performance post-deployment Full Stack & Cloud Architecture Design and implement cloud-native systems using microservices, serverless, and event-driven architectures Build robust APIs and UIs for intelligent applications (using Python, Node.js, React, etc.) Use Docker, Kubernetes, and CI/CD pipelines for scalable deployment Leverage technologies like Kafka, TensorFlow, Elixir, Golang, and NoSQL/Graph DBs for high-performance ML products Define infrastructure to meet latency and throughput goals for ML systems in production Innovation & Productization Build reusable IP that can be adapted across industries and clients Rapidly prototype AI features and user-facing applications for demos and validation Collaborate closely with product managers and business stakeholders to translate use cases into scalable tech Explore and adopt new technologies and frameworks to maintain a forward-looking tech stack Required Skills & Experience 4+ years of experience building and deploying AI/ML models and scalable software systems Strong understanding of ML frameworks (TensorFlow, Keras, PyTorch), data libraries (pandas, NumPy), and model tuning Proven track record of working with large-scale data, data cleaning, and visualization Expertise in Python, and experience with at least one other language (Go, Java, Scala, etc.) Experience with front-end frameworks (React, Vue, or Angular) is a plus Proficient in DevOps practices, CI/CD, and cloud platforms (AWS/GCP/Azure) Familiarity with event-driven systems, real-time protocols (WebSockets, MQTT), and container orchestration Hands-on experience with NoSQL databases, data lakes, or distributed data platforms Preferred Traits Experience leading agile engineering teams and mentoring junior developers Strong architectural thinking, with an eye on scalability, maintainability, and performance Entrepreneurial mindset with a focus on building reusable components and IP Excellent communication skills, capable of bridging business and technical conversations Why Join Hubnex Labs? Own and architect impactful AI products used across industries Shape the data science foundation of a fast-scaling software consulting powerhouse Enjoy a creative, high-performance environment in Gurugram, with flexibility and long-term growth opportunities Contribute to next-gen solutions in AI, cloud, and digital transformation Skills: gcp,node.js,ci/cd,data architecture,reinforcement learning,cloud-native technologies,mqtt,architecture,kubernetes,numpy,devops,cloud,data,pytorch,golang,keras,speech recognition,azure,data science,nlp,kafka,tensorflow,aws,pandas,docker,ai/ml,nosql,react,python,design,computer vision,websockets,graph dbs,elixir Show more Show less

Python, NumPy, Pandas, Rest API Strong in Data Engineering and Analysis, SQL Server (Complex SQL) This is hands on role. The role will involve design, coding, testing, working with product owners / scrum master for scrum planning, estimation, demos & leading guiding junior developers as needed. Years of experience 6 to 10 years Mandatory tech skills - Python, NumPy, Pandas, Strong in Data Engineering and Analysis, SQL Server Good in writing Python code. Hands-on experience with pandas and NumPy stack Able to perform data cleanup. Summarization using NumPy/pandas. SQL knowledge is Essential. Must have expertise in Rest API development Cloud experience is preferred (Azure). Uses pertinent data and facts to identify and solve a range of problems within area of expertise Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreement Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver No Performance Parameter Measure 1 ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team ManagementProductivity, efficiency, absenteeism 3 Capability developmentTriages completed, Technical Test performance

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approach to design solution The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial. The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning Techniques They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction Good knowledge of model development/data engineering experience using Python and R He / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholders Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add Technical Experience (using Python):o Hands on experience in developing models (end to end) Logistic regression Clustering  Decision Tree Random Forest Support Vector Machine Naïve Bayes Gradient Boosting Machine Deep learning Natural Language Processingo Tools Python (mandatory), R (preferred) Experience processing large amount of data using BigData technologies is preferred Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus Functional/Domain Experience:o Good exposure to Insurance domain Certifications/Analytics competitionso Recognized certifications in analytics technologies o Participations/solving Kaggle competitions Qualifications Educational Qualification:o Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions Relevant Experience: o 8+ years of hands on experience in executing analytics projects Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. About Factset FactSet is a leader in providing research and analytical tools to finance professionals. FactSet offers instant access to accurate financial data and analytics around the world. FactSet combines hundreds of databases from industry-leading suppliers into a single powerful information system. FactSet’s product suite of smart analytics and unique data empower the world’s leading financial service professionals to make more informed decisions every day. At our heart is an inclusive community unified by the spirit of going above and beyond. Our philosophy is to embrace diversity, and that our best ideas can come from anyone, anywhere, at any time. We continuously look ahead to advance the future and technology of our industry, by rolling up our sleeves to solve tough problems together, and by learning from our successes, as well as our failures. Being a software engineer at FactSet is to shape the future of investments technology. Our engineers use cutting edge technologies including machine learning, natural language processing, predictive analysis, and cloud computing to solve some of the investment community’s greatest challenges – relying every step of the way on some of our most creative minds to create sleek and intuitive UIs that make our products among the industry’s easiest to use. Job Responsibilities FactSet is seeking for a Python Developer along with experienced AWS Developer to join our engineering team responsible for making our product more scalable and reliable. Deliver high quality, re-usable and maintainable code, perform Unit / Integration Testing of assigned tasks with in the estimated timelines. Build robust infrastructure in AWS appropriate to respective component of product Proactive in providing Technical solutions with effective communication & collaboration skills. Perform Code Reviews and ensure best practices are followed. Work in agile team environment and collaborate with internal teams to ensure smooth product delivery. Ownership on end-end product & Individual contribution. Ensure high stability of product. Continuous Knowledge sharing internal & external of Team. Job Requirements Bachelor or master’s degree in computer science 5-8 years of Total experience. Minimum 5 year of experience in Python development. Minimum of 2 years working experience in Linux/Unix environments Strong analytical and problem-solving skills. Strong experience and proficiency with Python, Pandas, Numpy. Experience with AWS components. Experience with Github-based development processes Excellent written and verbal communication skills. Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Good to have skills: Familiar with Agile software development (Scrum is a plus). Experience in front end development Experience in database development Experience in C++ development Exposure on design patterns Diversity: At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Return to Work: Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Python Developer Requirements (Qualifications): Bachelor’s or Master’s degree with min 3+ years of strong Python development experience Core skills: OOPs concepts: Functions, Classes, Decorators Data structures: Lists, Tuples, Sets, Dictionaries, Time complexity Other concepts: Python scripting, pickling, Lambda Functions Experience on Debugging in a python IDE (PyCharm, Jupyter, VS Code) Experience with Pandas, NumPy Design and implement APIs, deep understanding of REST, SOAP, HTTP etc. Strong proficiency in Python and SQL for data analysis and extraction. Experience in at least one Python framework (Django or Flask or Fast API) Develop and maintain front-end applications using React.js, TypeScript/JavaScript, and related technologies. Convert UI/UX designs into clean, scalable, and reusable components. Optimize applications for maximum speed and responsiveness. Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc. (CI/CD) Basic Knowledge of Cloud (Azure,AWS) Experience working with one of the Data bases i.e., SQL, Postgres or SQL Server Experience in project management in accordance with AGILE (SCRUM) methodology Strong verbal and written communication skills, stakeholder management skills Good object-oriented programming background Key Responsibilities: Participate in Sprint planning for requirements and implementations Estimate the efforts to deliver the user story development Participate in daily scrum calls to update the progress Manage user stories in centralized sprint management tools (like JIRA) Develop, test / validate user stories with respect to acceptance criteria defined and Demo Participate in sprint backlog refinement Participate the Sprint retrospective meeting and record the lessons learned Participate PI Planning for sprint Additionally, we need folks with Core Python (mentioned in core skills) plus experience working with Banking, financial services EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Python Developer Requirements (Qualifications): Bachelor’s or Master’s degree with min 3+ years of strong Python development experience Core skills: OOPs concepts: Functions, Classes, Decorators Data structures: Lists, Tuples, Sets, Dictionaries, Time complexity Other concepts: Python scripting, pickling, Lambda Functions Experience on Debugging in a python IDE (PyCharm, Jupyter, VS Code) Experience with Pandas, NumPy Design and implement APIs, deep understanding of REST, SOAP, HTTP etc. Strong proficiency in Python and SQL for data analysis and extraction. Experience in at least one Python framework (Django or Flask or Fast API) Develop and maintain front-end applications using React.js, TypeScript/JavaScript, and related technologies. Convert UI/UX designs into clean, scalable, and reusable components. Optimize applications for maximum speed and responsiveness. Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc. (CI/CD) Basic Knowledge of Cloud (Azure,AWS) Experience working with one of the Data bases i.e., SQL, Postgres or SQL Server Experience in project management in accordance with AGILE (SCRUM) methodology Strong verbal and written communication skills, stakeholder management skills Good object-oriented programming background Key Responsibilities: Participate in Sprint planning for requirements and implementations Estimate the efforts to deliver the user story development Participate in daily scrum calls to update the progress Manage user stories in centralized sprint management tools (like JIRA) Develop, test / validate user stories with respect to acceptance criteria defined and Demo Participate in sprint backlog refinement Participate the Sprint retrospective meeting and record the lessons learned Participate PI Planning for sprint Additionally, we need folks with Core Python (mentioned in core skills) plus experience working with Banking, financial services EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Python Developer Requirements (Qualifications): Bachelor’s or Master’s degree with min 3+ years of strong Python development experience Core skills: OOPs concepts: Functions, Classes, Decorators Data structures: Lists, Tuples, Sets, Dictionaries, Time complexity Other concepts: Python scripting, pickling, Lambda Functions Experience on Debugging in a python IDE (PyCharm, Jupyter, VS Code) Experience with Pandas, NumPy Design and implement APIs, deep understanding of REST, SOAP, HTTP etc. Strong proficiency in Python and SQL for data analysis and extraction. Experience in at least one Python framework (Django or Flask or Fast API) Develop and maintain front-end applications using React.js, TypeScript/JavaScript, and related technologies. Convert UI/UX designs into clean, scalable, and reusable components. Optimize applications for maximum speed and responsiveness. Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc. (CI/CD) Basic Knowledge of Cloud (Azure,AWS) Experience working with one of the Data bases i.e., SQL, Postgres or SQL Server Experience in project management in accordance with AGILE (SCRUM) methodology Strong verbal and written communication skills, stakeholder management skills Good object-oriented programming background Key Responsibilities: Participate in Sprint planning for requirements and implementations Estimate the efforts to deliver the user story development Participate in daily scrum calls to update the progress Manage user stories in centralized sprint management tools (like JIRA) Develop, test / validate user stories with respect to acceptance criteria defined and Demo Participate in sprint backlog refinement Participate the Sprint retrospective meeting and record the lessons learned Participate PI Planning for sprint Additionally, we need folks with Core Python (mentioned in core skills) plus experience working with Banking, financial services EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Python Developer Requirements (Qualifications): Bachelor’s or Master’s degree with min 3+ years of strong Python development experience Core skills: OOPs concepts: Functions, Classes, Decorators Data structures: Lists, Tuples, Sets, Dictionaries, Time complexity Other concepts: Python scripting, pickling, Lambda Functions Experience on Debugging in a python IDE (PyCharm, Jupyter, VS Code) Experience with Pandas, NumPy Design and implement APIs, deep understanding of REST, SOAP, HTTP etc. Strong proficiency in Python and SQL for data analysis and extraction. Experience in at least one Python framework (Django or Flask or Fast API) Develop and maintain front-end applications using React.js, TypeScript/JavaScript, and related technologies. Convert UI/UX designs into clean, scalable, and reusable components. Optimize applications for maximum speed and responsiveness. Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc. (CI/CD) Basic Knowledge of Cloud (Azure,AWS) Experience working with one of the Data bases i.e., SQL, Postgres or SQL Server Experience in project management in accordance with AGILE (SCRUM) methodology Strong verbal and written communication skills, stakeholder management skills Good object-oriented programming background Key Responsibilities: Participate in Sprint planning for requirements and implementations Estimate the efforts to deliver the user story development Participate in daily scrum calls to update the progress Manage user stories in centralized sprint management tools (like JIRA) Develop, test / validate user stories with respect to acceptance criteria defined and Demo Participate in sprint backlog refinement Participate the Sprint retrospective meeting and record the lessons learned Participate PI Planning for sprint Additionally, we need folks with Core Python (mentioned in core skills) plus experience working with Banking, financial services EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Looking for a skilled Senior Data Science Engineer with 6-12 years of experience to lead the development of advanced computer vision models and systems. The ideal candidate will have hands-on experience with state-of-the-art architectures and a deep understanding of the complete ML lifecycle. This position is based in Bengaluru. Roles and Responsibility Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. Automate experimentation and deployment processes using CI/CD workflows. Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. Monitor, debug, and enhance model performance in production environments. Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Job Requirements 6-7+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems. Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Experience working in fast-paced startup environments with ownership of production AI systems. Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. Experience with video analytics, real-time inference, and event-based vision systems. Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Prior work in domains such as retail analytics, healthcare, or surveillance/IoT-based CV applications. Contributions to open-source computer vision libraries or publications in top AI/ML conferences (e.g., CVPR, NeurIPS, ICCV). Comfortable mentoring junior engineers and collaborating with cross-functional stakeholders.

Job Title: Python Developer Experience: 1 – 3 Years Location: Perungudi, Chennai (Work From Office) Shift Timings: Regular Shift: 10:00 AM – 7:00 PM Late Shift: 1:00 PM – 10:00 PM (Shifts alternate every two weeks). We are hiring a Python Developer to join the Market Risk team of a global organization in Chennai. This role involves developing and maintaining risk analytics tools and automating reporting processes to support commodity risk management. Key Responsibilities: Develop, test, and maintain Python scripts for data analysis and reporting Write scalable, clean code using Pandas, NumPy, Matplotlib, and OOPS principles Collaborate with risk analysts to implement process improvements Document workflows and maintain SOPs in Confluence Optimize code performance and adapt to evolving business needs Requirements: Strong hands-on experience with Python, Pandas, NumPy, Matplotlib, and OOPS Good understanding of data structures and algorithms Experience with Excel and VBA is an added advantage Exposure to financial/market risk environments is preferred Excellent problem-solving, communication, and documentation skills Interested candidates, please share your updated CV to: janani.sivanandam@antal.com Show more Show less

Key Responsibilities : Design and develop machine learning models and algorithms to solve business problems Write clean, efficient, and reusable Python code for data processing and model deployment Collaborate with data engineers and product teams to integrate models into production systems Analyze large datasets to derive insights, trends, and patterns Evaluate model performance and continuously improve through retraining and tuning Create dashboards, reports, and data visualizations as needed Maintain documentation and ensure code quality and version control Preference Must have hands-on experience in building, training, and deploying AI/ML models using relevant frameworks and tools within a Linux environment. Strong proficiency in Python with hands-on experience in data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, etc.) Experience working with Hugging Face Transformers , spaCy, ChatGPT (OpenAI APIs), and DeepSeek LLMs for building NLP or generative AI solutions Solid understanding of machine learning, statistics, and data modeling Experience with data preprocessing, feature engineering, and model evaluation Familiarity with SQL and working with structured/unstructured data Knowledge of APIs, data pipelines, and cloud platforms (AWS, GCP, or Azure) is a plus

Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member's ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Design, create and execute test cases for both UI and API, with a focus on FSI trading workflows. Implement and utilize test management tools (e.g., X-Ray/JIRA). Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 5+ years of experience in Quality Assurance (Testing) working with client stakeholders Significant experience of performing testing in the Financial Services Industry. Deep understanding of FSI trading platforms and tools (e.g., Polaris) and fixed income products. Proven ability to establish QA processes, including the development and implementation of comprehensive manual testing strategies Excellent problem-solving, analytical, and communication skills. Experience working on agile methodology, Jira, Confluence, etc. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Key responsibilities include: Skilled in creating detailed test plans, test cases, and test scripts to ensure thorough coverage of functional and non-functional requirements. Experienced in executing manual test cases, identifying defects, and collaborating with development teams to resolve issues Develop and execute test cases for both UI and API, with a focus on Fixed Income trading workflows. Strong experience in SQL. Drive the creation of regression test suites for critical back-office applications. Collaborate with development, business analysts, and project managers to ensure quality throughout the SDLC. Implement and utilize test management tools (e.g., X-Ray/JIRA). Provide clear and concise reporting on QA progress and metrics to management. Bring strong subject matter expertise in Financial Services Industry, particularly fixed income trading products and workflows. Basic knowledge on Python and its libraries like Pandas, NumPy, etc. Ensure effective, efficient, and continuous communication (written and verbally) with global stakeholders Independently troubleshoot difficult and complex issues on dev, test, UAT and production environments Responsible for end-to-end delivery of projects, coordination between client and internal offshore teams and managing client queries Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT) Show more Show less