5534 Data Science Jobs - Page 43

Description & Requirements

JD: AI/ML Engineer JOB Responsibilities: Develop and implement machine learning models and algorithms for [use cases, e.g., Anomaly Detections systems, natural language processing and Statistics with Algorithms solutions using Datamining, Classification, Regression, and clustering algorithms. Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate ML solutions into production systems. Optimize and fine-tune models for performance, scalability, and efficiency. Conduct exploratory data analysis (EDA) and feature engineering. Stay up to date with the latest advancements in ML and AI. JOB Requirements: Bachelor s or master s degree in computer science, Data Science, or related field. Must have Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, Spark, Pyspark, or scikit-learn, matplotlib. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of machine learning concepts (supervised, unsupervised, deep learning and Natural Language Processing). Experience with cloud platforms (Azure, AWS) and distributed computing. Excellent problem-solving skills and ability to work independently. Job ID R-72664 Date posted 07/17/2025

We are looking for a highly skilled and experienced AI Leader to join our team at Opkey, with 19 years of experience in the field. The ideal candidate will have a strong background in artificial intelligence and machine learning. Roles and Responsibility Develop and implement AI and ML models to solve complex problems. Lead a team of data scientists and engineers to design and deploy AI solutions. Collaborate with cross-functional teams to identify business needs and develop AI solutions. Stay updated with industry trends and advancements in AI and ML. Design and implement data pipelines and architectures to support AI model development. Work closely with stakeholders to understand requirements and deliver high-quality results. Job Requirements Strong knowledge of AI and ML concepts, including machine learning algorithms and deep learning techniques. Experience with programming languages such as Python, Java, or C++. Strong understanding of software development principles and methodologies. Excellent leadership and communication skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong problem-solving skills and attention to detail.

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

Key Responsibilities:Design, develop, and maintain advanced dashboards and reports in Tableau that provide insights into user engagement, product performance, and business metrics.Utilize Databricks to process, clean, and analyze large volumes of data efficiently.Develop complex SQL queries and optimize data pipelines for analytics workflows.Collaborate with cross-functional teams to define key metrics, data requirements, and analytical approaches.Conduct deep-dive analyses and present findings with clear data storytelling to influence product and business strategies.Automate routine reporting and data validation tasks to ensure accuracy and timeliness.Mentor junior analysts and promote best practices in data visualization and analytics.Stay current with latest trends and tools in data analytics, visualization, and big data platforms.

We are looking for a skilled Senior Data Scientist with expertise in NLP and Machine Learning to join our team at Harmony Data Integration Technologies. The ideal candidate will have a strong background in developing innovative data solutions and driving business growth through data-driven insights. Roles and Responsibility Design, develop, and deploy advanced NLP models to extract valuable insights from large datasets. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and maintain complex machine learning models using various algorithms and techniques. Work closely with stakeholders to understand business requirements and deliver high-quality results. Stay updated with industry trends and emerging technologies in NLP and machine learning. Lead the development of predictive analytics solutions to drive business growth. Job Requirements Strong proficiency in programming languages such as Python, R, or Java. Experience with NLP libraries such as NLTK, spaCy, or Stanford CoreNLP. Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate complex ideas effectively.

We are looking for a highly skilled AI & ML Engineer with 3 to 5 years of experience to join our team at Stanra Tech Solutions. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills. Roles and Responsibility Design and develop AI and ML models to solve complex problems. Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and technologies in AI and ML. Work closely with stakeholders to understand business requirements and develop tailored solutions. Ensure high-quality code and adhere to best practices. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of computer vision, natural language processing, or reinforcement learning. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines.

Job Description About the Role: We are seeking an experienced and dynamic Manager - Talent Acquisition to lead our efforts in attracting, engaging, and hiring top-tier talent in the Data Engineering, Data Science, and Business Intelligence domains. This pivotal role will be responsible for developing and executing comprehensive recruitment strategies, building strong pipelines, and fostering exceptional candidate experiences. The ideal candidate will possess deep expertise in the data and analytics landscape, coupled with a proven track record in leading and mentoring recruitment teams. The Talent Acquisition Manager will also play a crucial role in employer branding, showcasing what makes our company an incredible place to work. From utilizing data analytics to track hiring metrics to collaborating with marketing teams on outreach initiatives, you will be at the forefront of our talent acquisition efforts. This role requires strong leadership, exceptional communication skills, and the ability to create a positive candidate experience. If you are passionate about building teams and have a keen eye for identifying talent, we would love to have you on board to help us shape the future of our workforce. Key Responsibilities Lead and manage the talent acquisition team to meet hiring goals and objectives. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Utilize data analytics to track and report on key recruiting metrics and KPIs. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Conduct training sessions for hiring managers on best practices in interviewing and selection. Qualifications Required: Bachelors degree in Human Resources, Business Administration, Computer Science, or a related field. 7+ years of progressive experience in talent acquisition, wi

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Job summary Amazon offers services to sellers in multiple countries to sell on Amazon marketplaces/websites globally and grow multi-channel commerce. See sell.amazon.com and services.amazon.in for details of products and services. We are looking for a Sales Specialist as part of the marketplace team within Amazon India. Amazon marketplace Selling is an important initiative to grow the Amazon Marketplace Seller Business in India. This person will have the exciting opportunity to deliver on a strategy to enable broad use of Amazon Services by Manufacturers and Distributors in India wishing to sell on A.in, and play a key role in influencing product selection on Amazon marketplaces/websites. The objective of this position is to deliver on-going new business growth to Amazons suite of seller services. This business will play an important role in Amazon s mission to be the place where customers can find and discover anything they want to buy on Earth. Working in a dynamic sales environment, the person will be responsible for prospecting, qualifying, negotiating and closing agreements with third-party sellers. This position will be specific to new seller recruitment for Amazons accelerator program and pitching that program to specific new sellers. This positions success will be measured by the product selection and revenue your sellers bring to the platform. Responsibilities will include helping define key retailer segments clusters to target, establishing seller relationships, and drive the day-to-day interactions with these companies in order to build long-term business opportunity. The ideal candidate will possess a demonstrated ability to think strategically about business, product, and e-commerce challenges, with the ability to build and convey compelling value propositions to sellers of all sizes. Specific responsibilities include the following: Understand Amazon marketplace Selling products and services and be able to articulate its functions and benefits to external audiences. Track and report performance using appropriate metrics. Achieve productivity and seller satisfaction targets Identify specific prospects/partners to approach, communicate the specific value proposition for their business and establish long-term, successful partnerships. Work closely with mid-level/senior executives at interested sellers to successfully negotiate deals and help in on-boarding. Seller recruitment, adding selection and managing revenues for the category/channel of sellers. Working with industry bodies, manufacturers, online sellers and negotiating terms of trade to get more business. Planning of investments in stocks and marketing from sellers to ensure seller success. Location: This position is based out of Gurgaon, India and will require travel. 1+ years of sales experience Bachelors degree Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field

Python Data Science Trainer cum Developer(0 to1YEAR) - GALTech Technologies Pvt. Ltd | Software Company India | Dubai Python Data Science Trainer cum Developer(0 to1YEAR) Position title Python Data Science Trainer cum Developer(0 to1YEAR) Description We are seeking an Python Data Science Trainer cum Developer to lead our advanced AI engineering and data science course, inspiring the next generation of data scientists. The ideal candidate will have a strong background in Python programming, machine learning, deep learning, and Django web development and be enthusiastic about teaching these concepts effectively. Roles and Responsibilities 1. Instruct students in Python, data science, machine learning, deep learning, and natural language processing (NLP) concepts. 2. Conduct hands-on sessions covering data handling, SQL, model evaluation, and full-stack web development with Django. 3. Mentor students, guiding them through weekly projects and exercises to reinforce learning. 4. Lead students in designing and deploying real-world projects, with a focus on machine learning and NLP. 5. Stay current with data science advancements to integrate the latest tools and techniques into the course. Required Skills and Experience 1. Technical Proficiency: Knowledgeable in libraries like Numpy, Pandas, scikit-learn, TensorFlow, and PyTorch. 2. Machine Learning Expertise: Experience in model development, tuning, and evaluation. 3. NLP Frameworks: Familiarity with tools like NLTK, SpaCy, or Hugging Face Transformers. 4. Web Development with Django: Skilled in REST APIs and SQL database integration. 5. Communication: Able to break down complex concepts into engaging, understandable lessons. 6. Freshers : Passionate about teaching, with strong communication skills can also apply Qualifications 1. Educational Background: Bachelor s degree in Computer Science, Data Science, or a related field (Master s preferred). 2. Certifications: Certification in data science or machine learning (e.g., Data Science Professional Certificate) is a plus. 3. Training Experience: Prior instructional design or training experience preferred. for submitting your application. We will contact you shortly!

Technical Expertise Solid Python programming (OOPS, REST, API), SQL & Linux experience, handling ODBC/JDBC/Arrowflight connections. Have done projects handling large volume of data, implemented MMP tools and strong knowledge of storage solutions (NAS, S3, HDFS) and data formats (parquet, avro, iceberg) Strong knowledge of Kubernetes, containerization, Helm chart, templates and overlay, Vault, SSL/TSL, KB stores Prior knowledge of key libraries e.g. S3, MongoDB, Elastic, Trident NAS, Grafana etc will be big plus. Used Git and built CI-CD pipelines in recent projects. Additional Criteria Proactive in asking questions, indulge with team in group conversations, actively participate in issues discussions, share inputs/ideas/suggestions. Candidate needs to be responsive, actively pick new tasks/issues by him/herself without much mentoring/monitoring. NO REMOTELY located candidate. Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker Beh - Communication Programming Language - Python - Django Big Data - Big Data - Flask DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Data Science and Machine Learning - Data Science and Machine Learning - Python Middleware - API Middleware - API (SOAP, REST) Cloud - AWS - AWS S3, S3 glacier, AWS EBS Cloud - AWS - Amazon Elastic Container Registry (ECR), AWS Elastic Kubernetes Service (EKS)

1. Python with minimum of 5+ years of experience. 2. Equities Algorithmic trading stack, transaction data and FIX protocol. 3. market, transaction and reference data for various products like Equities, FX, Futures, FX, Indices, options etc. 4. Different market data vendors API and experience working with their data. 5. High capacity/low latency infrastructure like solace. 6. Software development, build and deployment management using tools like JIRA, Git, Jenkins, Geneous (ITRS) and scripting languages. 7. pre- and post- trade analytics like Transaction Cost analysis (TCA) reports. 8 Database design and architecture using KDB+/q Mandatory Competencies Database - Other Databases - KDB Beh - Communication DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Git Data Science and Machine Learning - Data Science and Machine Learning - Python Middleware - API Middleware - API (SOAP, REST)

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Artifical Intelligence - AI Tools - TensorFlow Cloud - AWS - ECS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure. Day-to-day activities include: architecting and implementing end-to-end solutions for accelerating experimentation and model building, creation of microservices and APIs for serving ML models and ML services, designing and implementing potential products and proof-of-concepts, working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products, exploring and onboarding new platforms, technologies and algorithms, managing project priorities, deadlines and deliverables. We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving. Preferred Qualifications: Five+ years experience working in a ML Engineering role with proven track record of delivering high-impact ML solutions. Bachelor s degree, Master s or PhD in computer science, Mathematics, Statistics, or other analytical fields Demonstrated ability to own end-to-end project delivery while maintaining transparent communication Hands-on experience and strong theoretical understanding of Recommender Systems. Hands on GPU optimizations, CNN, Computer vision and Gen AI models Experience working with Python, Golang, Spark or other open-source software with data science libraries Strong experience in advanced math and statistics Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams Experience with being actively engaged in data science or other research-oriented position.

About the Role: We are seeking an experienced and dynamic Manager - Talent Acquisition to lead our efforts in attracting, engaging, and hiring top-tier talent in the Data Engineering, Data Science, and Business Intelligence domains. This pivotal role will be responsible for developing and executing comprehensive recruitment strategies, building strong pipelines, and fostering exceptional candidate experiences. The ideal candidate will possess deep expertise in the data and analytics landscape, coupled with a proven track record in leading and mentoring recruitment teams. The Talent Acquisition Manager will also play a crucial role in employer branding, showcasing what makes our company an incredible place to work. From utilizing data analytics to track hiring metrics to collaborating with marketing teams on outreach initiatives, you will be at the forefront of our talent acquisition efforts. This role requires strong leadership, exceptional communication skills, and the ability to create a positive candidate experience. If you are passionate about building teams and have a keen eye for identifying talent, we would love to have you on board to help us shape the future of our workforce. Key Responsibilities Lead and manage the talent acquisition team to meet hiring goals and objectives. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Utilize data analytics to track and report on key recruiting metrics and KPIs. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Conduct training sessions for hiring managers on best practices in interviewing and selection. Required: Bachelors degree in Human Resources, Business Administration, Computer Science, or a related field. 7+ years of progressive experience in talent acquisition, with a minimum of 3 years specificall

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Role Description Primary Skills: Docker: Minimum 1 years, Max 2 years Linux: Minimum 2 Years, Max 3 Years Jenkins: Minimum 1 Years, Max 2 Years Shell/Python Script: Minimum 1 years, Max 2 Years AWS: Minimum 1 Years, Max 2 Years EKS - Minimum 1 year, Max 2 Years Secondary Skills: Deployment Model: Should have knowledge on Canary Deployment, Blue/Green Deployments. IAC Instructure as a code. Hands on experience 1yrs Jenkinsfile: Minimum 2 years, at least he can troubleshoot the Jenkins build issues. Jfrog: Minimum 2 years, or he should know the artifactory things like pull, push docker images. Dockerfile: Minimum 2 years, candidate should know the knowledge on how to build the docker images Technical Skills Nice-to-have skills Certification: AWS SAA, CKA Qualifications 3 to 4 years of hands-on devops, or ops experience 2 years of hands-on cloud experience in setting up and managing services/products or migration of on-premises services/products on any cloud infrastructure.

Role Description : As a Software Engineer - Investment ops at Incedo, you will be responsible for managing investment operations for clients. You will work with clients to understand their investment needs and manage operations that meet those needs. You will be skilled in investment management tasks such as portfolio management, trade processing, and performance measurement and have experience with investment management systems such as Bloomberg or Charles River. Roles & Responsibilities: Managing investment operations processes, including trade settlements, corporate actions, and cash management Ensuring compliance with regulatory requirements and internal policies Developing and maintaining investment operations documentation and policies Collaborating with other teams to implement process improvements Staying up-to-date with industry trends and best practices in investment operations. Technologies involved may include trading platforms, custodian systems, and investment management software. Technical Skills Skills Requirements: Knowledge of investment products such as equities, bonds, and derivatives Experience in managing investment operations processes such as trade settlements, portfolio accounting, and corporate actions Familiarity with investment management systems such as Bloomberg, Reuters, or FactSet Understanding of investment performance reporting and analytics Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .

Role Description We are seeking an experienced Oracle Lead with strong expertise in PL/SQL and a solid background in database migrations. The ideal candidate will play a key role in leading database migration projects, resolving complex technical issues, and providing guidance to the development team. This individual will work closely with architects and cross-functional teams to ensure that technical solutions are aligned with project requirements and ensure seamless integration with applications and analytics platforms. A basic understanding of Python is required to troubleshoot and debug issues at the PL/SQL code level. Experience working with SingleStore (formerly known as MemSQL) will be considered an added advantage. Technical Skills Key Responsibilities: Technical Leadership: Serve as the primary escalation point for resolving complex technical issues related to Oracle databases, ensuring issues are addressed efficiently and effectively. Database Migrations: Lead and manage Oracle database migration efforts, ensuring smooth transitions and minimal downtime. Collaboration: Work with architects and stakeholders to understand business requirements and ensure database solutions align with technical and business objectives. Database Integration: Collaborate with cross-functional teams (development, application, and analytics teams) to ensure seamless integration between Oracle databases and other enterprise applications or platforms. Code Troubleshooting and Debugging: Lead troubleshooting efforts for complex PL/SQL code issues, providing guidance and solutions to the team. Guidance and Mentorship: Provide ongoing technical guidance and mentorship to junior team members, helping them grow their skills in database development and troubleshooting. Process Improvement: Continuously identify areas for process improvement within database development and migration workflows to increase efficiency and reduce errors. SingleStore Experience (Preferred): If the candidate has experience working with SingleStore, they will be able to bring additional expertise in integrating and optimizing hybrid database architectures, a key advantage for modern, high-performance data solutions. Qualifications Skills and Qualifications: Experience: Minimum 8-10 years of hands-on experience with Oracle databases and PL/SQL development. PL/SQL Expertise: Strong knowledge of PL/SQL programming, with a proven ability to write, debug, and optimize complex queries, procedures, and functions. Database Migrations: Experience in database migration planning, execution, and troubleshooting, particularly with Oracle databases. Python Knowledge: Basic understanding of Python to assist in debugging PL/SQL-related issues. Problem-Solving Skills: Excellent troubleshooting skills with the ability to debug issues at the database and code level. Collaboration: Strong team player with experience collaborating across technical and non-technical teams. Leadership: Proven ability to lead teams, manage projects, and act as a point of escalation for complex technical issues. Communication: Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. SingleStore Knowledge (Added Advantage): Familiarity with SingleStore database, including integration with Oracle databases and the ability to work in a hybrid database environment. Preferred Qualifications: Oracle certifications (e.g., Oracle Certified Professional) are a plus. Experience with database performance tuning and optimization. Familiarity with cloud-based Oracle solutions (e.g., Oracle Cloud Infrastructure). Experience in Agile or other collaborative project management methodologies. Experience with SingleStore (MemSQL) database solutions and integration.

Role Description Duties and Responsibilities: Wealth management Ops team, provides supports services for Investment data at manager / client level for a US based clients. Key responsibilities: Performance Reporting Collection of Managers statements from portal/Emails Daily work management and execution of performance reporting operations activities Measuring Performance of investments and asset classes Driving Process Improvements Providing timely updates to Team Lead and other stakeholders Training and coaching new hires in the team Fund Manager Screening and quarterly update of the financial statements, onboard new fund managers and update portfolio details as per the schedule of investments Preparing Investment Performance Datasets covering Asset Allocation, holdings and Portfolio Performance Producing quarterly Manager Commentaries/Updates which provide a structured and streamlined analytical view for the benchmarking of the portfolios Preparing portfolio performance report that includes evaluation of performance of individual investments and asset classes, comparing the same with benchmark and peer group and making recommendations on individual investments/managers Maintaining a point of contact between Incedo and the strategy's investment manager on behalf of the Client Updating the SOP and other process documents as per the changes in the process Technical Skills Technical Skills Requirement: University or College degree, preferably with a major in finance A proven interest in the financial markets and preferable in hedge fund / private equity/ alternative investments and portfolio services industry Intermediate level Microsoft Excel skill Strong aptitude for numbers and accuracy Exposure to Global Capital Markets and working knowledge of various Asset Classes and Investment Strategies Ability to meet deadlines Soft Skills Requirement: Good communication skills (written and verbal) with experience with US based support environment Good documentation skills Ability to work as part of a team and build strong working relationships with peers Demonstrate a structured and methodical approach Flexible and adaptable approach to problem solving Flexible and open to multiple shifts Qualifications: Commerce Graduate (BBA / Bcom) or Equivalent Pursuing CFA/ MBA finance preferred Experience: At least 2-3 year of experience in private equity and alternative investments. Experience in working with Fund/Investment Managers; international exposure will be preferred.

Role Description : As a Senior Product Manager at Incedo, you will be responsible for the development and management of product roadmaps and requirements. You should have experience with Agile methodologies and be able to work collaboratively with cross-functional teams. Roles & Responsibilities: Define product vision, strategy, and roadmap in collaboration with cross-functional teams Conduct market research and competitive analysis to identify product opportunities and threats Develop and maintain product requirements, user stories, and use cases Prioritize and manage product backlog in collaboration with development teams Communicate product vision and progress to stakeholders and executive leadership Technical Skills Skills Requirements: Strong understanding of product management principles and methodologies. Ability to develop and execute product strategy and roadmaps. Experience in market research, customer needs analysis, and competitive analysis. Good communication and leadership skills. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description Share point developer with good experience in Pages and Workflow. Excellent Communication skills. Offshore resource who specializes in Sharepoint (i.e. Pages, workflow) development, etc.). 5-6 yrs of experience.

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred