6+ Time series Jobs in Bangalore (Bengaluru) | Time series Job openings in Bangalore (Bengaluru)

Responsibilities:

Use quantitative methods such as business simulations, data mining, modeling, and advanced statistical techniques to solve problems. The Data Scientist contributes by serving as a technical lead for analytics initiatives of low‑to‑medium complexity or business impact and supporting high‑profile, enterprise initiatives such as the Engineered Value Chain. 

In this role, you will act as an individual contributor on analytic teams, partnering on cross‑functional projects, and guiding technical delivery. You will also mentor procurement professionals on the technical approaches used to solve problems presented by business units, service organizations, dealers, or customers. 

Job duties/Responsibilities include but not limited to:

• Lead and deliver analytics initiatives by defining analytical approaches, building models, and translating insights into business actions for procurement and enterprise stakeholders. 
• Develop, train, validate, and monitor predictive models using a broad set of machine learning/statistical methods to support targeted business outcomes. 
• Design and implement ETL/data pipelines and integrate data sources to create safe, trusted datasets for reporting and analytics (including Snowflake and SQL-based workflows). 
• Build executive-ready dashboards and decision tools (e.g., Power BI) that enable data‑driven leadership decisions. 
• Apply data modelling best practices (conceptual, logical, physical models) and support integration/transformation patterns to analytics environments and warehouses. 
• Partner cross‑functionally (Procurement, Digital/IT, Finance, operations stakeholders) to deploy analytics solutions into production and ensure adoption. 
• Operate with strong data governance and operational rigor, including troubleshooting data issues, managing access/user needs, and supporting reliable analytics operations. 
• Use modern engineering practices (e.g., GitLab/DevOps toolchains) to improve repeatability, scalability, and maintainability of analytics solutions. 

Must Have Skills

• Strong AI/ML background across model development and validation, including methods such as time series, clustering, tree-based algorithms, generalized linear models, or neural networks.                           
• Strong SQL + Snowflake proficiency for ETL, transformation, and analytics-ready datasets. 
• Experience with cloud solutions, solution integration, IT operations, and data governance. 
• Proficiency in Python programming language.
• Proficiency in Prompt Engineering.
• Experience with front-end technologies such as HTML, CSS, and JavaScript.
• Experience with back-end technologies such as Django, Flask, or Node.js.
• Solid grasp of database technologies such as MySQL, PostgreSQL, or MongoDB.
• Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines
• Proficiency in Machine Learning Operations.
• Work with business, data scientists to ensure value realization, ROI on operationalization of models
• Strong understanding of statistical analysis and machine learning algorithms.
• Containerization, packaging of ML models
• Experience with data visualization tools such as Power BI.
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
• Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) technologies.

Good To Have Skills:

• Experience with cloud-first and agile methodologies.
• Strong understanding of statistical analysis and machine learning algorithms.
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Required Skill:

• Degree in Computer Science, Business, Mathematics, Economics, Statistics, Engineering, or related field.  

Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.

Responsibilities:

• Develop and deploy data-driven solutions for energy and power market applications.
• Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.).
• Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling.
• Design and build scalable pipelines for training, testing, and deploying models.
• Communicate complex ideas effectively to both technical and non-technical stakeholders.
• Collaborate across teams to drive product development and ensure impactful outcomes.

Expectations:

• Ability to move from broad vision to technical solutions.
• Ownership mindset: accountability for effort and outcomes.
• Integrity, transparency, and teamwork. Requirements:
• Strong analytical skills with a data-driven and scientific approach.
• Proficiency in Python, capable of handling both structured and unstructured data.
• Prior experience (industry or academia) building machine learning or deep learning based AI solutions.
• Prior experience in LLM & GenAI is a plus.

Company name: JPMorgan (JPMC)

Job Category:
 Predictive Science

Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru

Job Schedule: 
Full time

JOB DESCRIPTION

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 Job responsibilities 

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

• Deploy solutions into public cloud infrastructure 

• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• MS in Computer Science, Statistics, Mathematics or Machine Learning. 

• Development experience, along with hands-on Machine Learning Engineering 

• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

• Solid Python programming skills required; with other high-performance language such as Go a big plus 

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

• Expertise in application, data, and infrastructure architecture disciplines 

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

• Excellent communication skills and ability to communicate with senior technical and business partners 

 Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

• Understanding of finance or wealth management businesses is an added advantage 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.

In this role, you will design the approach, develop and test machine learning algorithms, implement the solution.  The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving.  Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Design, build, test, and implement predictive Machine Learning models.
• Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
• Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
• Collaborate cross-functionally with domain experts to identify gaps and structural problems.
• Contribute to standard business processes and practices as part of a community of practise.
• Be the subject matter expert across multiple work streams and clients.
• Mentor and coach team members.
• Set a clear vision for the team members and working cohesively to attain it.

Qualifications and Skills:

Requirements

• Experience / Education:
  • Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 
• 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
• Highly technical:
• Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
• Understanding of data structures and data modeling.
• Effective communication and presentation skills
• Able to collaborate closely and effectively with teams.
• Experience in time series forecasting is preferred.
• Experience working in start-up type environment preferred.
• Experience in CPG and/or Retail preferred.
• Effective communication and presentation skills.
• Strong management track record.
• Strong inter-personal skills and leadership qualities.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC