analytics engineer

associate, ml data operations, go-ai operations Jobs in Chennai

associate, ml data operations, go-ai operations

operations associate

process associate

senior engineering manager - ai Jobs in Chennai

senior engineering manager - ai

associate ml data operations go ai operations

Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Maharashtra - D80
 
 
 Job ID: A3014449
</div>

Associate, ML Data Operations, GO-AI Operations

HCLTech

<div>
 
 HCL Tech is hiring for AI/ML Developer &ndash; Python
 
 
 
 
 
 Location: Bengaluru, Chennai, India
 
 
 EXP - 3 to 5yrs
 
 
 Notice Period - Imm to 15days
 
 
 
 
 
 Job Description
 
 
 
 
 
 Unlock innovation through Artificial Intelligence and Machine Learning.
 
 
 We are seeking a talented and motivated AI/ML Developer with expertise in Python to join our growing team. The ideal candidate will design, develop, and deploy state-of-the-art AI/ML solutions for a global clientele, driving measurable business impact.
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Design, develop, and implement AI/ML models and algorithms using Python and related libraries
 
 
 &bull; Preprocess, clean, and analyze large datasets to prepare for machine learning
 
 
 &bull; Build, train, validate, and optimize models for supervised, unsupervised, and reinforcement learning tasks
 
 
 &bull; Deploy machine learning models to production environments (cloud/on-premises) and monitor their performance
 
 
 &bull; Collaborate with cross-functional teams to understand business requirements and deliver robust solutions
 
 
 &bull; Document methodologies, experiments, and results for knowledge sharing
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Electronics, Mathematics, Statistics, or related discipline
 
 
 &bull; Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras)
 
 
 &bull; Knowledge of data engineering, feature engineering, and end-to-end ML pipelines
 
 
 &bull; Familiarity with version control (Git) and CI/CD practicesTitle: AI/ML Developer &ndash; Python
 
</div>

Data Scientist

Adecco

<div>
 
 Looking for Immediate joiners
 
 
 
 
 
 Please find the below jD.
 
 
 
 
 <ul>
 <li>
 7 years of relevant experience in Business analysis and system analysis.
 </li>
 <li>
 This is a business analyst role with the combination of data analysis, system analysis and business analysis.
 </li>
 <li>
 Good to have candidates who have already worked with international clients.
 </li>
 <li>
 Good to have candidates with Fintech experience.
 </li>
 <li>
 Excellent in Communication
 </li>
 <li>
 3 Rounds of Interview.
 </li>
 <li>
 Work Location : Chennai /Bangalore(Hybrid Model).
 </li>
 <li>
 
 Please upload the profiles with one min video resume.
 
 </li>
 </ul>
 
 
 
 
 Business Analyst Job Duties and Responsibilities -Serve as a strategic relationship manager between Information Technology and a specific set of businesses. The BA serves as the primary technology consultant for business application(s), understands business processes, business practices, elicits and documents business requirements, and ensures that &bull; 7+ years of total experience, with a strong focus on business analysis and system analysis in financial services or related sectors.
 
 
 &bull; Experience using AI tools for research, analysis and reporting preferred
 
 
 &bull; Own and lead the Go to Market playbook, documentation
 
 
 &bull; Create the knowledge base artifacts for AI training, automation, and drive productivity gains for Product Operations
 
 
 &bull; Extensive experience in conducting system analysis and business analysis, with a customer-first mindset, ensuring that solutions align with user needs and market demands.
 
 
 &bull; Excellent communication skills and end-to-end ownership capabilities, facilitating effective collaboration with cross-functional teams and stakeholders.
 
 
 &bull; Demonstrated expertise in maintaining comprehensive documentation, including product and system documentation, ensuring clarity and consistency throughout the project lifecycle.
 
 
 &bull; Strong analytical and problem-solving skills, with experience in creating and utilizing analytical dashboards to drive data-informed decision-making and optimize business strategies.
 
 
 &bull; Ability to work in a fast-paced, dynamic environment, emphasizing collaboration with teams to integrate system and business analysis into the development process for innovative solutions.
 
 
 Cross -functional Collaboration with Product and Engineering teams
 
 
 Understanding user needs and collaboration with merchant lifecycle experiences and platform teams
 
 
 Executing data queries and maintaining funnel dashboards for post go live measurement
 
 
 Maintaining Merchant Onboarding and Lifecycle Documentation
 
 
 Writing EPICs and User Stories with Acceptance Criteria
 
 
 Writing / Reviewing PRDs
 
 
 Prioritization using an objective analytical framework
 
 
 Conflict management and resolution
 
 
 7+ Years of Total Experience
 
 
 Experience in System analysis and Business Analysis and Customer First Thinking
 
 
 Excellent in Communication and End to End Ownership
 
 
 Experience in maintaining product documentation
 
 
 Own and lead the Go to Market playbook, documentation
 
 
 Create the knowledge base artifacts for AI training, automation, and drive productivity gains for Product Operations
 
 
 
</div>

Business Analyst

<div>
 
 Job Summary
 
 
 
 We are seeking a
 
 Senior Data Analyst
 
 with strong expertise in
 
 Power BI
 
 and a solid foundation in
 
 AI/ML concepts
 
 to join our growing analytics team. The ideal candidate will be responsible for designing and developing advanced dashboards, driving data insights, and applying machine learning techniques to support business decision-making. You will collaborate with cross-functional teams, translate business requirements into data-driven solutions, and guide junior analysts with best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Dashboarding &amp; Reporting
 </li>
 <ul>
 <li>
 Design, develop, and optimize interactive Power BI dashboards and reports for multiple business functions.
 </li>
 <li>
 Ensure data accuracy, reliability, and user-friendly visualization for decision-making.
 </li>
 </ul>
 <li>
 Data Analysis &amp; Insights
 </li>
 <ul>
 <li>
 Perform deep-dive analysis to identify business trends, patterns, and improvement opportunities.
 </li>
 <li>
 Develop KPIs, metrics, and automated reporting frameworks.
 </li>
 </ul>
 <li>
 AI / ML Integration
 </li>
 <ul>
 <li>
 Apply machine learning models (predictive, classification, clustering, etc.) to support business use cases.
 </li>
 <li>
 Collaborate with data science teams to integrate AI/ML outputs into Power BI reports.
 </li>
 <li>
 Support experimentation (A/B testing, forecasting, anomaly detection) to improve processes and outcomes.
 </li>
 </ul>
 <li>
 Collaboration &amp; Leadership
 </li>
 <ul>
 <li>
 Partner with stakeholders to understand business requirements and translate them into analytical solutions.
 </li>
 <li>
 Mentor junior analysts in Power BI best practices, data storytelling, and analytical techniques.
 
 </li>
 </ul>
 </ul>
 
 Must-Have
 
 
 
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 5+ years of experience in data analysis and visualization.
 </li>
 <li>
 Expert-level knowledge in Power BI (DAX, Power Query, data modeling, performance tuning).
 </li>
 <li>
 Strong SQL skills and experience with relational databases.
 </li>
 <li>
 Hands-on knowledge of AI/ML techniques (regression, classification, clustering, forecasting).
 </li>
 <li>
 Experience with Python or R for data analysis and machine learning.
 </li>
 <li>
 Strong analytical, problem-solving, and storytelling skills.
 
 
 </li>
 </ul>
 
 Good-to-Have
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services / Power Platform.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with MLOps / deploying ML models into production.
 </li>
 <li>
 Experience in mentoring or leading junior analysts.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful projects with advanced analytics and AI/ML.
 </li>
 <li>
 Collaborative work environment with a culture of learning and innovation.
 </li>
 <li>
 Growth opportunities to transition into Data Science / Analytics Leadership roles.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 <ul>
 <li>
 This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
 
 
 </li>
 </ul>
</div>

Supply Chain Analyst (Data Analyst)

TaskUs

<div>
 
 
 Job Description
 
 
 
 
 
 
 About TaskUs:
 
 
 TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.
 
 
 The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.
 
 
 It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world.
 
 
 
 
 What We Offer:
 
 
 At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
 
 
 
 
 Job Description Summary
 
 
 
 
 Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models.
 
 
 
 
 Job Description
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI/ML Development &amp; Research
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy advanced machine learning and deep learning models for complex business problems
 </li>
 <li>
 Implement and optimize Large Language Models (LLMs) and Generative AI solutions
 </li>
 <li>
 Build agentic AI systems with autonomous decision-making capabilities
 </li>
 <li>
 Conduct research on emerging AI technologies and their practical applications
 </li>
 <li>
 Perform model evaluation, validation, and continuous improvement
 
 
 </li>
 </ul>
 
 
 Cloud Infrastructure &amp; Full-Stack Development
 
 
 
 
 <ul>
 <li>
 Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP
 </li>
 <li>
 Develop full-stack applications integrating AI models with modern web technologies
 </li>
 <li>
 Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
 </li>
 <li>
 Implement CI/CD pipelines for ML model deployment and monitoring
 </li>
 <li>
 Design and optimize cloud infrastructure for high-performance computing workloads
 
 
 </li>
 </ul>
 
 
 Data Engineering &amp; Database Management
 
 
 
 
 <ul>
 <li>
 Design and implement data pipelines for large-scale data processing
 </li>
 <li>
 Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
 </li>
 <li>
 Optimize database performance for ML workloads and real-time applications
 </li>
 <li>
 Implement data governance and quality assurance frameworks
 </li>
 <li>
 Handle streaming data processing and real-time analytics
 
 
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 
 
 <ul>
 <li>
 Mentor junior data scientists and guide technical decision-making
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Lead proof-of-concept projects and innovation initiatives
 
 
 </li>
 </ul>
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
 </li>
 <li>
 5+ years of hands-on experience in data science and machine learning
 </li>
 <li>
 3+ years of experience with deep learning frameworks and neural networks
 </li>
 <li>
 2+ years of experience with cloud platforms and full-stack development
 
 
 </li>
 </ul>
 
 
 Technical Skills - Core AI/ML
 
 
 
 
 <ul>
 <li>
 Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms
 </li>
 <li>
 Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers
 </li>
 <li>
 Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering
 </li>
 <li>
 Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation
 </li>
 <li>
 Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents
 
 
 </li>
 </ul>
 
 
 Technical Skills - Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
 </li>
 <li>
 Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI
 </li>
 <li>
 Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)
 </li>
 <li>
 Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes
 </li>
 <li>
 MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks
 </li>
 <li>
 Big Data: Spark, Hadoop, Kafka, streaming data processing
 
 
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)
 </li>
 <li>
 Knowledge of LangChain, LlamaIndex, or similar LLM frameworks
 </li>
 <li>
 Experience with model compression and edge deployment
 </li>
 <li>
 Familiarity with distributed computing and parallel processing
 </li>
 <li>
 Experience with computer vision and NLP applications
 </li>
 <li>
 Knowledge of federated learning and privacy-preserving ML
 </li>
 <li>
 Experience with quantum machine learning
 </li>
 <li>
 Expertise in MLOps and production ML system design
 
 
 </li>
 </ul>
 
 
 Key Competencies
 
 
 
 
 
 
 Technical Excellence
 
 
 
 
 <ul>
 <li>
 Strong mathematical foundation in statistics, linear algebra, and optimization
 </li>
 <li>
 Ability to implement algorithms from research papers
 </li>
 <li>
 Experience with model interpretability and explainable AI
 </li>
 <li>
 Knowledge of ethical AI and bias detection/mitigation
 
 
 </li>
 </ul>
 
 
 Problem-Solving &amp; Innovation
 
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking skills
 </li>
 <li>
 Ability to translate business requirements into technical solutions
 </li>
 <li>
 Creative approach to solving complex, ambiguous problems
 </li>
 <li>
 Experience with rapid prototyping and experimentation
 
 
 </li>
 </ul>
 
 Communication &amp; Leadership
 
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Ability to explain complex technical concepts to diverse audiences
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Experience mentoring and leading technical teams
 
 
 </li>
 </ul>
 
 
 How We Partner To Protect You:
 
 
 TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.
 
 
 
 
 DEI:
 
 
 In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.
 
 
 We invite you to explore all TaskUs career opportunities and apply through the provided URL
 
 https://www.taskus.com/careers/ .
 
 
 
 TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community.
 
 
 Req Id: R_2507_10295_2
 
 
 Posted At: Thu Jul 31 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
</div>

Data Scientists

Arcadia

<div>
 
 Who We Are
 
 
 Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems by creating unprecedented access to the data and clean energy needed to make a decarbonized grid possible.
 
 
 In 2014, we set out to break the fossil fuel monopoly. Since then, we&rsquo;ve connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Today, through our
 
 Arcadia platform
 
 , we empower developers and innovators to build personalized energy experiences, accelerating the transformation of the energy industry into a digital, AI-driven ecosystem.
 
 
 Tackling one of the world&rsquo;s biggest challenges requires bold thinking and diverse perspectives. If you&rsquo;re passionate about applying
 
 AI to decarbonization at scale
 
 , we&rsquo;d love to see what you&rsquo;ll bring to Arcadia. Visit www.arcadia.com.
 
 
 HQ: Washington, DC| $1B valuation | $500M+ capital raised since inception
 
 
 What we&rsquo;re looking for
 
 
 We are seeking a
 
 Senior Engineering Manager (Level 5)
 
 to lead a high-performing team of engineers working on the critical data, AI, agentic systems and platform systems that underpin Arcadia&rsquo;s products. This role combines
 
 people leadership with strong technical oversight
 
 , ensuring we deliver scalable, reliable, and innovative solutions that expand renewable energy access and intelligence.
 
 
 The ideal candidate is:
 
 <ul>
 <li>
 A proven engineering leader who has scaled teams, coached senior engineers, and fostered a collaborative culture.
 </li>
 <li>
 Technically strong enough to provide architectural direction, challenge design decisions, and dive deep when needed.
 </li>
 <li>
 Experienced in building systems at scale&mdash;spanning data engineering, AI/ML, and distributed infrastructure.
 </li>
 <li>
 Passionate about leveraging technology to fight the climate crisis.
 </li>
 <li>
 Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
 </li>
 <li>
 Able to mix classic scalable systems engineering with agentic workflows&nbsp;
 </li>
 <li>
 Can be a highly effective individual contributor, diving deep into the code and systems being built
 </li>
 </ul>
 
 What you&rsquo;ll do
 
 <ul>
 <li>
 Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform.
 </li>
 <li>
 Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
 </li>
 <li>
 Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
 </li>
 <li>
 Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy).
 </li>
 <li>
 Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams.
 </li>
 <li>
 Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production.
 </li>
 <li>
 Foster a culture of high performance, ownership, and technical excellence.
 </li>
 <li>
 Establish engineering best practices in testing, observability, reliability, and CI/CD.
 </li>
 <li>
 Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia&rsquo;s strategic goals.
 </li>
 <li>
 Represent AI across the company, articulating technical trade-offs and championing innovation.
 </li>
 <li>
 Contribute directly to the AI systems development as part of a small and nimble team
 </li>
 </ul>
 
 What will help you succeed
 
 <ul>
 <li>
 15+ years of professional experience in software engineering, with at least 4+ years in engineering leadership roles.
 </li>
 <li>
 Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms.
 </li>
 </ul>
 
 
 Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS).
 
 
 <ul>
 <li>
 Proven success in
 
 managing teams of 4&ndash;6 engineers
 
 , scaling processes, and building diverse, high-performance teams.
 </li>
 <li>
 Strong architectural design and system-thinking abilities&mdash;able to balance immediate product needs with long-term scalability.
 </li>
 <li>
 Excellent communication skills with ability to influence cross-functional stakeholders.
 </li>
 <li>
 Passion for sustainability, decarbonization, and using technology to create positive climate impact.
 </li>
 <li>
 Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
 
 
 </li>
 </ul>
 
 Benefits
 
 <ul>
 <li>
 Competitive compensation and employee stock options
 </li>
 <li>
 Hybrid/remote-first working model (India-based role, with global collaboration)
 </li>
 <li>
 Flexible leave policy
 </li>
 <li>
 Comprehensive medical insurance (self + family members)
 </li>
 <li>
 Annual performance cycle + quarterly recognition awards
 </li>
 <li>
 A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
 
 
 </li>
 </ul>
 
 
 Eliminating carbon footprints, eliminating carbon copies.
 
 
 
 Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India
 
 
 &nbsp;
 
 
 Thank you
 
</div>

Senior Engineering Manager - AI

ValGenesis

<div>
 
 About ValGenesis
 
 
 ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
 
 
 Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ
 
 
 About the Role:
 
 
 We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction.
 </li>
 <li>
 Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency.
 </li>
 <li>
 Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis.
 </li>
 <li>
 Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry
 </li>
 <li>
 Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry.
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects.
 </li>
 <li>
 Strong programming skills in Python, Rust.
 </li>
 <li>
 Experience with Pandas, NumPy, SciPy, OpenCV (for image processing)
 </li>
 <li>
 Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch.
 </li>
 <li>
 Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
 </li>
 <li>
 Experience with one or more Graph DBs - Neo4J, ArangoDB
 </li>
 <li>
 Experience with MLOps platforms, such as Kubeflow or MLFlow.
 </li>
 <li>
 Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models.
 </li>
 <li>
 Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems.
 </li>
 <li>
 Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
 </li>
 <li>
 Excellent written and verbal communication skills and interpersonal skills.
 </li>
 <li>
 Advanced degree in Computer Science, Machine Learning or related field.
 
 
 
 
 </li>
 </ul>
 
 We&rsquo;re on a Mission
 
 
 In 2005, we disrupted the life sciences industry by introducing the world&rsquo;s first digital validation lifecycle management system. ValGenesis VLMS&reg; revolutionized compliance-based corporate validation activities and has remained the industry standard.
 
 
 Today, we continue to push the boundaries of innovation &horbar; enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
 
 
 
 The Team You&rsquo;ll Join
 
 
 Our customers&rsquo; success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity&rsquo;s quality of life, and we honor that mission.
 
 
 We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
 
 
 We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
 
 
 We&rsquo;re in it to win it. We&rsquo;re on a path to becoming the number one intelligent validation platform in the market, and we won&rsquo;t settle for anything less than being a market leader.
 
 
 
 How We Work
 
 
 Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
 
 
 ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
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Software Engineer - AI/ML

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