Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Assistant Regional Brand Manager

Key Account and E-Commerce Manager

Senior AI Engineer

Data Center Market Development Senior Manager

Account Executive - Architecture

F&B Sales Engineer

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: <ul><li>Work together with Sales / Commercial team also external key distributors to consolidate sales data from different countries / market, ensuring the data accuracy, cleanliness, and integrity.</li><li>Lead the maintenance and enhancement of commercial reporting processes, including the preparation of monthly reports and the development of automated reporting solutions and dashboards.</li><li>Provide sales team with commercial analysis and reporting to support team objectives and decision-making processes.</li><li>Initiate and standardize templates (Excel and PowerPoint) for projects as required</li><li>Formulate and execute new commercial KPI tracking mechanisms to support performance evaluation.</li><li>Participate in sales / commercial pertinent projects / Global project (ie. Game Plan / Distributor Excellence Program) and collaborate cross-functionally to ensure successful implementation and alignment with organizational objectives.</li><li>Work together with Sales / Commercial team to drive the commercial plans (Calendar of Activities).</li><li>Help to manage our JBP (Joint Business Plan) and contracts through data availability</li></ul> Requirements: <ul><li>Bachelors degree in related field</li><li>Minimum 2 years working at medium to large FMCG company</li><li>Advanced Microsoft Office Excel (Commercial Dashboard, XLookup, IF conditional, Data consolidation, Data cleaning, Conditional formatting) and Power Point</li><li>Good command in English</li><li>Takes ownership, self-determination, always looking to improve, collaborative approach on cross-functional working</li></ul>

Responsibilities: <ul><li>Support the Portfolio Manager for category &amp; brand planning, grounded in consumer and customer insights.</li><li>Support the deployment of Brand Marketing Campaigns (ATL/BTL or Through-the-line Campaign Management) for key markets with full ownership &amp; leadership from campaign planning to post launch evaluation, working closely with external marketing agencies &amp; partners.&nbsp;</li><li>Support and manage innovation projects (relaunch/ NPD) including size of opportunity projection, understanding P&amp;L and compliance checking, leading &amp; working closely with innovation project team for assigned category.&nbsp;</li><li>Develop the Selling Story for new product &amp; campaign based on consumer &amp; market insight, working closely with commercial sales &amp; consumer insight team</li><li>Conduct customer research including product testing and consumer insight session for new products/ relaunch with distributor team and focus consumer groups&nbsp;</li><li>Actively recommend solutions and implement improvements for day-to-day operations with functional stakeholders internally &amp; externally&nbsp;</li><li>Plan &amp; Monitor marketing budget for key activities&nbsp;</li></ul> Requirements: <ul><li>Education Background: Preferably from marketing/ business management background&nbsp;</li><li>Education Level: Bachelor’s Degree minimum, master’s degree would be a plus</li><li>Working Experience:</li><li>3-5 or more years of experience in brand/product management/marketing (FMCG) or experience in categories related to food products, meals or infant will be a plus.</li></ul>

Role Desscription: <ul><li>The key account and e-commerce manager is responsible for driving the execution of brand and commercial strategies across digital sales channels, ensuring excellence in online presence, promotion and conversion.</li><li>This role acts as the key interface between marketing, sales and eRetailers, translating brand &amp; commercial objectives into shopper-centric initiatives that enhance visibility, engagement, and sell out performance in the digital environment.</li></ul> Responsibilities: <ul><li>Connecting with distributors to drive sales in pure e-commerce players (Lazada, Shopee etc).</li><li>Ensure excellence in execution in e-commerce across pure players and also retail e-commerces.</li><li>Omnichannel execution. Ensure 360 activation of IMC in e-commerce platforms across focus markets in SSEA.</li></ul> Key Accountabilities <ul><li>Digital Channel Strategy Execution: translate brand and sales strategies into tailored online plans for each digital customer (marketplaces, B&amp;C, quick commerce). Align and execute commercial calendars, launches, and campaigns in collaboration with Sales and Marketing teams.</li><li>% of planned activities executed according to the digital commercial calendar.</li><li>Internal alignment score with Sales and Marketing (e.g., internal NPS or feedback in JBP sessions).</li><li>Number of campaigns successfully launched by channel/platform.</li></ul> <ul><li>Visibility and Conversion: Ensure best-in-class product content, imagery, and search optimization across all eRetail platforms.</li><li>Deploy digital trade initiatives (e.g., banners, activations, product sampling) to increase brand visibility and conversion.</li><li>Share of Search (SoS) for top keywords per platform.</li><li>Conversion Rate (CVR) by priority product and platform.</li><li>% of planned digital assets (e.g., banners, feature slots) executed on time.</li></ul> <ul><li>Promo &amp; Investment Planning: Coordinate digital promotional mechanics in line with budget, ROI, and brand guidelines.</li><li>Monitor competitive pricing and promotions to adjust plans accordingly.</li><li>ROI of promotional campaigns (% return on investment).</li><li>Budget adherence rate (% of trade digital budget spent as planned).</li><li>Sell-out growth during promotional periods (vs. pre-promo baseline or LY).</li></ul> <ul><li>Performance Analysis &amp; Reporting:</li><li>Track and analyze key performance indicators (e.g., sell-out, share of shelf, conversion rates, media ROI).</li><li>Generate actionable insights to optimize future campaigns and investments.</li><li>Accuracy of reported data (target: &lt;5% margin of error).</li></ul> <ul><li>Content &amp; Assortment Management:</li><li>Maintain accurate and complete product information, ensuring consistent presence across platforms.</li><li>Support in defining digital assortment priorities and product visibility strategies by platform.</li><li>% of SKUs with compliant, high-quality content live on each platform.</li><li>Time to market for new product content.</li><li>Assortment compliance rate per retailer (e.g., % of priority SKUs listed).</li></ul> Requirements: <ul><li>Experience Capability.</li><li>Graduation Complete.</li><li>MBA (Differential).</li></ul> Language <ul><li>Advanced English</li></ul> Discipline of Knowledge. <ul><li>Administration, Economics, Marketing</li></ul> Specific knowledge of the team you lead. <ul><li>Previous experience in FMCG Industries in E-commerce or in pure e-commerce players.</li><li>Proficiency in Excel and Power Point.</li><li>Project management.</li><li>Knowledge of Tableau (BI and Dashboards) or programming language.</li></ul> Organization <ul><li>Analytical – Working with data Management.</li></ul> Communication <ul><li>Teamwork.</li><li>Resilience and self-motivation.</li><li>Logical reasoning.</li><li>Ability to prioritize and sense of urgency.</li><li>Ability to execute.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: <ul><li>Own the global strategy to develop “where to play” and “how to win” plans by combining deep market and customer insights with knowledge of products and go-to-market strengths.</li><li>Gather and synthesize actionable market and application knowledge, including products, competitors, market trends, technology roadmaps, and regulations.</li><li>Deliver growth plans covering both strategic (long-term trajectory) and tactical (6–12 months action plans) horizons, and lead the implementation of those plans.</li><li>Identify, assess, and execute value-creation opportunities across growth vectors, including commercial go-to-market, market and portfolio expansion (organic or inorganic), strategic partnerships, and acquisitions.</li><li>Source contacts within target customer functions to support sales teams in creating initial footholds for customer development, including qualification, specification, and commercial negotiations.</li><li>Co-own (with sales) the customer strategy and revenue/new opportunity pipeline within the Data Center industry. Drive pipeline growth in partnership with sales and marketing teams through value proposition development, communication, and sales coverage optimization.</li><li>Maximize opportunity pipeline conversion by participating in pipeline reviews, providing input into major project proposals and quotes to enhance win rates, and supporting sales and product management teams with customer presentations for major opportunities.</li><li>Partner with marketing teams to develop and execute initiatives that position the organization as a leader and trusted advisor to customers through content such as whitepapers, webinars, tradeshows, and other technical marketing activities.</li><li>Monitor market evolution and innovations, providing structured support, scanning, and insights into near- and far-adjacent future market opportunities. Keep key stakeholders updated on trends and translate insights into actionable growth and market share expansion plans.</li><li>Act as the champion for the Data Center market by setting direction, driving investment decisions, ensuring sharing of learnings across regions, and positioning the organization to succeed in the market.</li><li>Facilitate cross-region sharing of learnings and market trends and advise on global and regional strategy.</li></ul> Key Objectives / Measurements <ul><li>Development of a strategy to win target market segments, including application roadmaps and plans for portfolio expansion into product adjacencies through partnerships or acquisitions.</li><li>Identification of substantiated growth opportunities and pipeline, including the number and quality of product &amp; technology roadmaps and strength of M&amp;A pipeline.</li><li>Revenue growth, market share gains, and margin expansion in the Data Center market.</li></ul> Requirements: Qualifications and Experience <ul><li>Minimum 10 years of experience in strategy, strategic business/market development, or product management roles at leading companies in Renewables, Utilities, or Industrial sectors.</li><li>Bachelor’s degree in Business, Science, or Engineering required; advanced degree preferred.</li><li>Deep understanding of the Data Center market and broader industry landscape, including key players, current and future trends, and growth vectors. Prior working experience in the Data Center business is preferred (e.g., hyperscale/colocation data center owners, OEMs, electrical contractors, or extensive networks within these companies).</li><li>Demonstrated success with strategic and market analytical processes, including market segmentation, strategic planning, competitive analysis, market research, new product development and launch, and strategic marketing.</li><li>Strong teamwork and leadership skills; proven ability to deliver results in cross-functional and cross-cultural environments.</li><li>Ability to influence individuals at all organizational levels.</li><li>Strong oral and written communication skills; ability to convey complex topics effectively to cross-cultural and functional audiences, including senior executives.</li><li>Willingness to travel up to 50% for industry conferences, customer visits, and organizational meetings.</li><li>Professional working proficiency in English.</li></ul>

Responsibilities: <ul><li>You will be responsible for driving companys growth across the Webex Customer Experience portfolio, with a focus on capturing significant market share in CCaaS, On-Premises Contact Centre, and CPaaS segments.</li><li>Your mission will be to implement high-impact strategies that accelerate adoption and revenue in these rapidly evolving markets.</li><li>The Customer Engagement space is one of the most dynamic and high-growth areas within company.</li><li>The proliferation of smartphones, digital messaging platforms, and the rise of Agentic AI have fundamentally reshaped customer expectations, demanding faster, smarter, and more personalised engagement from businesses.</li><li>As a Customer Engagement Expert, your deep domain expertise and thought leadership will be instrumental in enabling companys broader sales teams.</li><li>You will play a key role in building customer trust and driving adoption of companys AI-powered Contact Centre solutions, including CCaaS, CPaaS, and On-Premise offerings.</li></ul> In this role, you will work across the following teams to help solve customers’ most complex business problems. <ul><li>Global Contact Centre Sales Acceleration team and leadership</li><li>Collaboration with Product Sales Specialists and Solution Architects</li><li>Account Management Teams</li><li>Channel Partners and third-party Contact Centre Solution Partners</li><li>Product Management across companys Global Contact Centre Business Unit</li></ul> Requirements: <ul><li>Proven expertise in AI, Contact Centre, CCaaS, and CPaaS technologies.</li><li>A strong track record in strategic solution selling within both channel-led and direct go-to-market models.</li><li>The ability to position and sell to business decision-makers, backed by a well-established network of senior executive relationships.</li><li>You should possess a comprehensive understanding of Customer Experience technologies and the architectural evolution required for customer success.</li><li>You’ll be expected to engage with executive stakeholders and collaborate with companys technical teams to shape technology roadmaps that align with broader account strategies.</li><li>By applying your business acumen and industry insight, you will align companys portfolio with customer challenges and strategic priorities, ultimately driving revenue growth and market share expansion</li><li>You have demonstrated experience/capability in selling and consulting to Customer Experience executives.</li><li>You will maintain an active, hands-on approach with the team, partners, and customers.</li><li>You love what you do and are passionate about technology, enabling frictionless customer experiences and journeys.</li></ul> You have core experiences in the following areas: <ul><li>Technology Leadership: Communicate a clear technology vision and strategy with a compelling value proposition specifically as it relates to Cloud &amp; On Premise Contact Centre and Experience Management</li><li>Extensive sales/consulting leadership experience managing solution and application sales</li><li>Deep understanding of CCaaS, CPaaS, On-premise Contact Centers, and SaaS-based technologies and architectures, including adjacent technologies like Workforce, Quality Management, and AI.</li><li>You are expected to have customer relationships and understand the India market.</li></ul>

Responsibilities: <ul><li>Region coverage South India (Andhra Pradesh / Telangana /Karnataka / Tamil Nadu / Kerala).&nbsp;</li><li>Conduct market research to identify potential customers in the F&amp;B&amp;S Sector in South India.</li><li>Develop and implement targeted marketing strategies to reach potential customers in these sectors.</li><li>Key account management including End Users, OEMs &amp; System Integrators</li><li>Build long-term customer business relations right from the concept phase and ensure product standardization at customer sites.</li><li>Build and maintain relationships with existing customers in these sectors, identifying opportunities for cross-selling and upselling.</li><li>Attend industry events and exhibitions to showcase company products and engage with potential customers.</li><li>Provide technical expertise and assistance to customers, helping them to select the most suitable equipment for their specific applications in these sectors.</li><li>Act as the customers advocate and ensure their technical needs are met.&nbsp;</li><li>Work closely with the company product development team to identify and develop new products that meet the specific needs of the PI - F&amp;B&amp;S in India.</li><li>Produce and maintain detailed documentation on all customer interactions, including project timelines, equipment specifications, and budget constraints.</li><li>Provide ongoing technical support and guidance to other departments within the company as required to ensure that all customers receive the highest level of service and support.</li><li>Provide high-quality technical support to prospects and customers during pre- and post-sales situations.&nbsp;</li><li>Understand and solve challenging application problems by recommending appropriate company solutions.&nbsp;</li><li>Update records in CRM interface for opportunity pipeline, appointments, lead and present business analytical data through CRM&nbsp;</li></ul> Requirements:﻿ <ul><li>Hold relevant Diploma Mechanical / Bachelor of Engineering, Qualifications and a strong business background.</li><li>Preferably have at least 10 -15 years of experience in the Fluid Handling Industry.&nbsp;</li><li>Possess excellent written and spoken English communication skills.</li></ul>

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115 market research Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Assistant Regional Brand Manager

Key Account and E-Commerce Manager

Senior AI Engineer

Data Center Market Development Senior Manager

Account Executive - Architecture

F&B Sales Engineer

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115 market research Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Commercial Planning Analyst

Assistant Regional Brand Manager

Key Account and E-Commerce Manager

Senior AI Engineer

Data Center Market Development Senior Manager

Account Executive - Architecture

F&B Sales Engineer

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WhiteCrow is on a mission to connect companies with the best talent across the globe.