Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Operations Manager

Assistant Regional Brand Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

Senior Frontend 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: EH&amp;S (Environment, Health &amp; Safety): <ul><li>Promote a culture of safety across the organization.</li><li>Ensure personnel adhere to established safety guidelines, procedures, and policies.</li><li>Implement lessons learned from security incidents at other facilities to maintain a safe environment.</li></ul> Quality: <ul><li>Promote a culture of quality throughout operations.</li><li>Ensure the operations team follows procedures in their respective areas.</li><li>Support audits from clients and regulatory entities.</li><li>Ensure compliance with Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP).</li></ul> Production: <ul><li>Foster a respectful, dynamic, and challenging work environment.</li><li>Ensure the fulfillment of internal and external operational goals.</li><li>Uphold ethical and regulatory standards in all team behavior.</li><li>Develop and maintain a 5S culture to support efficient operations.</li></ul> Requirements: Competencies &amp; Skills: Core Competencies: <ul><li>Technical Learning: Demonstrated understanding and experience in intensive manufacturing processes.</li><li>Problem Solving: Subject Matter Expert (SME) in complex problem-solving; able to guide teams through solution analysis.</li><li>Ethics and Values: Uphold company values consistently, rewarding alignment and addressing deviations.</li><li>Action Oriented: Energetic and proactive in addressing operational challenges.</li></ul> Job-Specific Knowledge, Skills, and Abilities: <ul><li>Advanced computer skills (Microsoft Word, Excel, etc.).</li><li>Assertive communication and interpersonal skills.</li><li>Strong planning, organizational, implementation, and monitoring skills to ensure Gantt chart and goal achievement.</li><li>Blueprint interpretation and reading.</li><li>Ability to work effectively under pressure.</li><li>Delegation skills while maintaining accountability for results.</li><li>Customer service orientation.</li><li>Effective time management.</li><li>Knowledge of ISO 9002 and FDA-regulated manufacturing environments.</li><li>Experience promoting continuous improvement projects.</li></ul> Experience &amp; Educational Requirements: Experience: <ul><li>Managerial experience in operations/production.</li><li>Minimum 4 years as a senior supervisor, superintendent, or equivalent role in operations/production.</li><li>Approximately 60% office work and 40% time on manufacturing lines (36 months minimum).</li></ul> Education: <ul><li>Engineering degree or equivalent.</li><li>Master’s degree is desirable.</li></ul> Professional Training &amp; Certifications: <ul><li>Six Sigma Green Belt (preferred).</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>

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: 1. Team Leadership <ul><li>Manage, mentor, and develop a team of Quality and Reliability Engineers.</li><li>Assign projects and tasks based on individual strengths and organizational priorities.</li><li>Conduct performance evaluations and provide coaching for continuous improvement.</li><li>Lead cross-functional problem-solving teams to address customer quality issues, reduce DPPM, and lower the cost of poor quality.</li></ul> 2. Quality Assurance <ul><li>Develop and implement robust quality control processes and procedures.</li><li>Oversee customer quality audits and ensure compliance with our client quality policies and customer requirements.</li><li>Analyze quality data and metrics to identify trends and areas for improvement.</li></ul> 3. Failure Analysis <ul><li>Lead structured failure investigations (e.g., fault tree analysis) to determine root causes and corrective actions.</li><li>Coordinate product testing related to customer-reported issues.</li><li>Serve as the primary quality interface with customers on escalations, reliability matters, and compliance.</li></ul> 4. Project Management <ul><li>Lead quality and reliability improvement projects from concept through completion.</li><li>Collaborate cross-functionally with Sales, Engineering, and Operations to align on customer quality objectives.</li><li>Support supplier reviews, customer audits, and on-site technical support.</li><li>Conduct periodic business reviews with key customers on DDN quality and reliability performance.</li></ul> 5. Continuous Improvement <ul><li>Identify opportunities for process optimization, cost reduction, and improved efficiency.</li><li>Implement Lean and Six Sigma methodologies to drive continuous improvement.</li><li>Collaborate with Engineering and Sales to share the DDN strategic quality roadmap and strengthen customer partnerships.</li></ul> 6. Reporting and Communication <ul><li>Prepare and present reports on quality and reliability metrics to senior leadership.</li><li>Communicate effectively with internal and external stakeholders on quality matters and escalations.</li><li>Provide Voice of the Customer (VoC) feedback to Product Management, Engineering, and Manufacturing to mitigate risks.</li></ul> 7. Tactical Initiatives <ul><li>Proactively identify and remove roadblocks affecting quality and customer satisfaction.</li><li>Drive urgency and accountability across teams to meet customer expectations.</li><li>Bridge communication between customers and internal teams to ensure timely problem resolution.</li></ul> Requirements: Qualifications and Experience <ul><li>Education: Bachelor’s degree in Electrical, Mechanical, or related Engineering field; Master’s degree preferred.</li><li>Experience: Minimum 7 years in Quality Assurance or Reliability Engineering, including at least 3 years in a managerial or global capacity.</li></ul> Technical Skills: <ul><li>Strong knowledge of Quality Management Systems (QMS), Statistical Process Control (SPC), Gage R&amp;R, and reliability tools.</li><li>Experience with failure analysis using structured methodologies (e.g., fault tree analysis).</li></ul> Certifications: <ul><li>Six Sigma Black Belt, ASQ Certified Quality Engineer (CQE), or equivalent preferred.</li></ul> Soft Skills: <ul><li class="ql-indent-1">Strong leadership and team development skills.</li><li class="ql-indent-1">Excellent problem-solving, communication, and interpersonal abilities.</li><li class="ql-indent-1">Demonstrated customer interface experience in data center interconnect technology.</li><li class="ql-indent-1">Executive-level presence with the ability to influence across all levels of the organization.</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>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>

Responsibilities: <ul><li>Create and implement interactive, user-friendly, and visually appealing user interfaces (UIs) for web applications.</li><li>Develop robust front-end architectures, write high-quality code, and perform code reviews to maintain standards.&nbsp;</li><li>Ensure applications are fast, responsive, and scalable across various devices and platforms by optimizing loading times and performance.&nbsp;</li><li>Research, evaluate, and adopt new front-end technologies and frameworks (Angular, React) to keep products at the groundbreaking.&nbsp;</li><li>Collaborate with our team to create user-friendly web3 applications.</li><li>Develop responsive and intuitive UIs with React, Next.js, HTML, CSS, and JavaScript/TypeScript.</li><li>Work with WAGMI, Viem to interact with smart contracts.</li><li>Work with Redux and/or MobX for smooth state management.</li><li>Work with REST APIs and GraphQL for backend communication.</li></ul> Requirements: <ul><li>Proven experience as a senior frontend engineer, with a track record of delivering high-quality web applications.</li><li>Strong proficiency in JavaScript/TypeScript languages.</li><li>Expertise in frontend frameworks: Angular and/or React.</li><li>Hands-on experience with RxJS library and state management systems: NGRX, NGXS.</li><li>Experience in writing and support unit tests (Karma, Jasmine, Spectator).</li></ul>

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65 research abilities Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Operations Manager

Assistant Regional Brand Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

F&B Sales Engineer

Senior Frontend Engineer

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65 research abilities Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Operations Manager

Assistant Regional Brand Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

F&B Sales Engineer

Senior Frontend Engineer

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

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