software engineer

project engineer

ai engineer

Awign Expert

<div>
 
 
 Job Title: AI Engineer
 
 
 
 
 Experience: 4&ndash;7 Years
 
 
 
 
 Location: Chennai (Onsite Only)
 
 
 
 
 Key Skills: AI Engineering, Large Language Models (LLMs), Machine Learning Engineering
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a skilled AI Engineer with strong experience in designing, developing, and deploying AI/ML solutions in production environments. The ideal candidate will have hands-on expertise with Large Language Models (LLMs) and modern machine learning frameworks, along with a solid understanding of end-to-end ML engineering pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Design, build, and deploy scalable AI/ML models for real-world applications
 
 
 Work extensively with LLMs for building intelligent automation and AI-driven features
 
 
 Collaborate closely with data scientists, product teams, and engineering teams to integrate AI solutions into applications
 
 
 Optimize model performance, scalability, and reliability in production environments
 
 
 Contribute to continuous improvement of AI workflows and deployment pipelines
 
 
 
 
 
 
 Requirements:
 
 
 
 4&ndash;7 years of experience in AI/ML engineering
 
 
 Strong hands-on experience with LLMs and ML frameworks
 
 
 Experience in building scalable and production-grade AI solutions
 
 
 Strong problem-solving skills and ability to work in cross-functional teams
 
</div>

AI Engineer

Three Across

<div>
 
 Role: Senior AI/ML Engineer &ndash; Python, NLP/LLM, Generative AI
 
 
 
 
 Location: Chennai (Preferred)/ Indore/ Navi Mumbai
 
 
 
 
 Work Mode: Hybrid
 
 
 
 We is hiring a Senior AI/ML Engineer with 4&ndash;7 years of experience to build and deploy scalable AI, NLP, LLM and Generative-AI solutions.
 
 
 This role is ideal for someone who enjoys solving complex problems, working hands-on with Python and modern AI frameworks, and delivering high-impact products in a fast-moving environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy ML/NLP/LLM/Generative-AI models and solutions.
 </li>
 <li>
 Develop data pipelines, feature engineering workflows and training/validation processes.
 </li>
 <li>
 Implement end-to-end AI product components using Python, FastAPI, Docker, CI/CD, AWS.
 </li>
 <li>
 Work with agentic frameworks, vector databases, embeddings, RAG, and hybrid search.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into technical solutions.
 </li>
 <li>
 Ensure scalability, performance and quality across the AI/ML lifecycle.
 </li>
 <li>
 Mentor junior engineers and support technical decision-making.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 4&ndash;7 years of ML/AI engineering experience with strong Python skills.
 </li>
 <li>
 Hands-on experience with NLP, NLU, LLMs, prompt engineering, Generative AI.
 </li>
 <li>
 Experience with containerization, CI/CD pipelines, model deployment and cloud (AWS preferred).
 </li>
 <li>
 Understanding of LoRA/PEFT, embeddings, vector databases, RAG pipelines, multi-agent systems.
 </li>
 <li>
 Strong communication skills and the ability to work in an Agile environment.
 
 
 </li>
 </ul>
 
 In a world racing toward automation, the real advantage belongs to those who can build intelligence &mdash; not just use it.
 
</div>

Sr. AI/ ML Engineer

Tata Elxsi

<div>
 
 
 Purpose of the role:
 
 
 
 As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.
 
 
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement machine learning models and statistical algorithms.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
 </li>
 <li>
 Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn.
 </li>
 <li>
 Communicate findings clearly to stakeholders through reports and presentations.
 </li>
 <li>
 Continuously improve data processes and model performance.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
 </li>
 <li>
 Machine learning, data science skills with strong programming background in python.
 </li>
 <li>
 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
 </li>
 <li>
 Great communication skills.
 </li>
 <li>
 Good Analytical skills
 </li>
 <li>
 Data-oriented personality
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Spark, Hadoop, Kafka,
 </li>
 <li>
 AWS/ Azure/ Google Cloud
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Spark (AWS EMR, Databricks), AWS Lambda
 </li>
 <li>
 Spark Streaming and Batch
 </li>
 <li>
 Avro, Parquet
 </li>
 <li>
 Stream Data Platforms: AWS Kinesis
 </li>
 <li>
 MySQL, Cassandra, HBase, MongoDB, RDBMS
 </li>
 <li>
 Caching Frameworks(ElasticCache/Redis)
 </li>
 <li>
 Elasticsearch, Beats, Logstash, Kibana
 </li>
 <li>
 Java, Scala, Go, R
 </li>
 <li>
 Git, Maven, Gradle, Jenkins
 </li>
 <li>
 Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
 </li>
 <li>
 Linux
 </li>
 <li>
 Presto, Athena
 </li>
 <li>
 Keras, Pandas)
 </li>
 <li>
 Visualization suite (AWS Quicksight, Grafana)
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Job Summary
 
 
 
 
 Fiche de poste :
 
 
 
 We are seeking a highly skilled
 
 AI Governance, and QA Auditor
 
 to evaluate, audit, and ensure the responsible, ethical, and compliant use of Artificial Intelligence and Machine Learning systems. This role is central to maintaining trust, fairness, transparency, and regulatory alignment across AI/ML initiatives, while driving continuous improvement in model development, deployment, and monitoring practices. The candidate will collaborate with data scientists, engineers, risk/compliance teams, and business stakeholders to establish and enforce AI governance frameworks, leveraging advanced tools such as
 
 IBM Watsonx Governance
 
 .
 
 
 
 Key Responsibilities
 
 
 
 
 AI Assurance &amp; Quality Auditing
 
 
 
 <ul>
 <li>
 Design framework for technical auditing of AI/ML systems that avoid costly mistakes.
 </li>
 <li>
 Conduct independent audits of a variety of AI/ML systems in the areas of Gen AI, Deep Learning, Machine Learning, Natural Language Processing and Computer Vision.
 </li>
 <li>
 Verify compliance with benchmark standards, external regulations, and ethical AI principles.
 </li>
 <li>
 Assess data quality, feature engineering practices, and model development pipelines for reproducibility, fairness, and bias mitigation.
 </li>
 <li>
 Evaluate ML model performance, robustness, explainability, and alignment with intended business outcomes.
 </li>
 <li>
 Review deployment processes, model versioning, and monitoring practices to ensure traceability and accountability.
 </li>
 <li>
 Utilize Watsonx Governance and other enterprise AI governance tools to audit and validate responsible AI practices.
 
 
 </li>
 </ul>
 
 AI Governance &amp; Risk Management
 
 
 
 <ul>
 <li>
 Define, implement, and maintain AI governance frameworks, policies, and best practices.
 </li>
 <li>
 Identify AI risks (bias, drift, adversarial attacks, misuse) and recommend mitigation strategies.
 </li>
 <li>
 Ensure compliance with AI regulations and standards (e.g., EU AI Act, NIST AI RMF, ISO 42001, GDPR, industry-specific frameworks).
 </li>
 <li>
 Establish governance checkpoints across the AI lifecycle (data collection, training, validation, deployment, monitoring).
 </li>
 <li>
 Leverage Watsonx Governance for automated policy enforcement, lineage tracking, and audit readiness.
 
 
 </li>
 </ul>
 
 Compliance &amp; Ethical AI
 
 
 
 <ul>
 <li>
 Audit AI/ML systems for fairness, inclusivity, accountability, and transparency.
 </li>
 <li>
 Ensure model documentation, datasheets, and audit trails are consistently maintained.
 </li>
 <li>
 Provide assurance reports for regulators, clients, and internal executives.
 </li>
 <li>
 Monitor emerging AI regulations and update governance policies accordingly.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Advisory
 
 
 
 <ul>
 <li>
 Partner with Data Science, MLOps, and Product teams to embed assurance-by-design practices.
 </li>
 <li>
 Educate stakeholders on AI risks, governance policies, and responsible AI principles.
 </li>
 <li>
 Act as an internal advisor for audits, compliance reviews, and external certifications.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
 
 .
 
 
 Master&rsquo;s/PhD or certification in
 
 AI Governance, Risk &amp; Compliance, or Data Ethics
 
 is preferred.
 
 
 
 Required Experience
 
 
 
 <ul>
 <li>
 10+ years of overall professional experience, with at least 5 years in AI/ML model development, assurance, risk management, or audit functions.
 </li>
 <li>
 Hands-on expertise with Data Science workflows, ML model evaluation, and MLOps pipelines.
 </li>
 <li>
 Prior experience in regulatory compliance, IT audit, or QA within financial services, healthcare, or other regulated industries is a plus.
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Strong understanding of machine learning, deep learning, and generative AI.
 </li>
 <li>
 Familiarity with AI auditing tools (e.g., Fairlearn, Aequitas, SHAP, LIME, Explainable AI frameworks).
 </li>
 <li>
 Proficiency in Python, SQL, and model evaluation libraries.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, GCP) and enterprise governance solutions such as IBM Watsonx Governance, Vertex AI Model Monitoring, and Watson OpenScale.
 </li>
 <li>
 Governance &amp; Regulatory Skills
 </li>
 <li>
 Knowledge of AI risk management frameworks (NIST AI RMF, ISO 42001, OECD AI Principles).
 </li>
 <li>
 Understanding of data protection and privacy laws (GDPR, HIPAA, CCPA).
 </li>
 <li>
 Ability to translate technical findings into executive-level risk and compliance reports.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking with attention to detail.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to act as an independent, objective voice in AI governance matters.
 
 
 </li>
 </ul>
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Lead - AI Governance & QA Auditor – Data Scientist, AI Systems Audit, Compliance, AI Governance, AI Explainability, Python

Turing

<div>
 
 
 About the Role:
 
 
 
 We&rsquo;re hiring a
 
 Business Analyst
 
 to manage and mentor a team of analysts creating business-focused content to improve AI models. You&rsquo;ll combine leadership, quality oversight, and subject expertise in MBA-relevant domains to ensure outputs are accurate, logically sound, and aligned with project goals. This role is ideal for someone who enjoys people management, operational excellence, and shaping high-quality analytical content.
 
 No prior AI experience is required for this role.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Lead and mentor a team of Business Analysts/Content Specialists.
 </li>
 <li>
 Allocate tasks, oversee workflows, and ensure timely, high-quality delivery.
 </li>
 <li>
 Conduct QA reviews, refine processes, and improve team efficiency.
 </li>
 <li>
 Provide performance feedback, training, and career development.
 </li>
 <li>
 Act as the primary stakeholder contact, sharing regular project updates.
 </li>
 <li>
 Guide creation of case studies, scenarios, and structured business content (finance, policy, e-commerce, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2+ years of team management experience.
 </li>
 <li>
 3&ndash;6 years in business analysis, consulting, content, or domain-focused projects.
 </li>
 <li>
 Strong analytical, logical, and communication skills.
 </li>
 <li>
 Proficiency in structured file formats (TSV, JSON, HTML, XML, Markdown).
 </li>
 <li>
 
 No prior AI experience is required
 
 </li>
 <li>
 Bonus: prior work on LLM performance data, case study writing, or academic/research content.
 </li>
 <li>
 Full-time commitment (40 hrs/week); immediate joiners preferred.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Business Analyst

Cyces Innovation Labs LLP

<div>
 
 Selected Intern's Day-to-day Responsibilities Include
 
 
 
 <ul>
 <li>
 Serve as the main point of contact for clients, building and maintaining strong, long-lasting relationships.
 </li>
 <li>
 Understand client needs and objectives, and develop tailored strategies to meet those needs.
 </li>
 <li>
 Coordinate with internal teams (sales, marketing, product, etc.) to ensure seamless delivery of services and solutions.
 </li>
 <li>
 Provide regular updates to clients on the progress of their Accounts, addressing any concerns and ensuring timelines are met.
 </li>
 <li>
 Identify new business opportunities with existing clients and work to expand accounts by offering additional services.
 </li>
 <li>
 Resolve client issues and concerns promptly, ensuring that clients remain satisfied with our services.
 </li>
 <li>
 Negotiate contracts, terms, and pricing with clients to ensure mutually beneficial agreements.
 
 
 </li>
 </ul>
 About Company: Cyces is a tech firm with a strong focus on engineering, product thinking, and applied AI. Over 150 companies have worked with us to build and scale products, automate operations, and unlock growth with technology. Alongside our full-suite product development services, we help businesses deploy custom AI solutions, including AI agents, workflow automations, voice AI, and advanced data applications. Whether it's building a product from the ground up or integrating AI to drive efficiency, we approach every problem with the same craftsmanship and precision.
 
 
 Our team includes experienced engineers, designers, and thinkers who take pride in their work and have a keen eye for detail. We've partnered with startups, enterprises, and governmental bodies across the globe, delivering outcomes that matter, no matter the project size or industry.
</div>

Project Management Internship in Chennai, Tamil Nadu

<div>
 
 About the Role
 
 
 We're looking for a creative, hungry Junior Graphic Designer to join our marketing design team. This is an ideal launchpad for someone freshout of college or with limited professional experience who has genuine creative talent and wants to build a career in marketing design.
 
 
 You'll learn by doing&mdash;working on real client projects under senior guidance,developing your skills in a supportive environment, and growing into client-facing responsibilities over time.
 
 
 We value raw creativity, attention to detail, willingness to learn AI-powered workflows, and a positive, can-do attitude.
 
 
 
 
 
 Key Responsibilities
 
 
 Creative Marketing Design (Under Supervision)
 
 <ul>
 <li>
 Execute design tasksassigned by seniordesigners&mdash;social media graphics, ad creatives, email banners, simple marketing collateral
 </li>
 <li>
 Adapt and resizeexisting designs for different platforms and formats (Instagram, LinkedIn, Facebook, display ads)
 </li>
 <li>
 Assist in developing creative concepts by contributing ideasduring brainstorming sessions
 </li>
 <li>
 Learn to create simplemotion graphics and GIFs for social media content
 </li>
 <li>
 Follow brand guidelines accurately and maintainvisual consistency across deliverables
 </li>
 </ul>
 
 Client Exposure &amp; Communication (Learning Phase)
 
 <ul>
 <li>
 Shadow senior designersin client calls and briefingsessions to learn client interaction
 </li>
 <li>
 Observe how expectations are set and managed&mdash;timelines, scope,revisions
 </li>
 <li>
 Gradually participate in presenting work and receiving client feedback with senior support
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Learn to interpret feedbackconstructively and implementrevisions accurately
 </li>
 <li>
 Build professional communication habits&mdash;clear, timely, respectful
 </li>
 </ul>
 
 
 
 
 AI-First Mindset (Training Provided)
 
 <ul>
 <li>
 Learn to use AI designtools (Midjourney, DALL-E,Adobe Firefly, CanvaAI) through team training
 </li>
 <li>
 Apply AI tools to speed up ideation,mood boards, and visual exploration under guidance
 </li>
 <li>
 Stay curiousand experiment with new AI capabilities as they emerge
 </li>
 <li>
 Understandwhen to use AI vs. original work to maintaincreative authenticity
 </li>
 </ul>
 
 
 
 
 Quality &amp; Organization
 
 <ul>
 <li>
 Handle 2-3 tasks or small projects at a time, learning to prioritize with manager support
 </li>
 <li>
 Develop attention to detail&mdash;check typography, alignment, colors, and spacing before submission
 </li>
 <li>
 Follow file organization standards, naming conventions, and version controlpractices
 </li>
 <li>
 Accept feedback gracefully and implement corrections without repeated errors
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 Education &amp; Experience
 
 <ul>
 <li>
 Bachelor'sdegree or diplomain Graphic Design,Visual Communication, Fine Arts, or related field
 </li>
 <li>
 0-1 year of experience (freshgraduates welcome; internships or freelance projects are a plus, not required)
 </li>
 <li>
 Portfolio showing creativepotential&mdash;college projects, personalwork, passion projects all accepted
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Foundationalskills in AdobePhotoshop and Illustrator (comfortable with basicto intermediate tasks)
 </li>
 <li>
 Basic familiarity with Canva or Figma (we'lltrain you further)
 </li>
 <li>
 Willingnessto learn AI design tools&mdash;noprior experience required,but enthusiasm is essential
 </li>
 <li>
 General awarenessof social media platforms and how visualcontent works on them
 </li>
 </ul>
 
 
 
 
 Core Competencies (Non-Negotiable)
 
 <ul>
 <li>
 Genuine creativetalent&mdash;a natural eye for design,color, and composition
 </li>
 <li>
 Highly coachable&mdash;takes feedbackwell, learns quickly,doesn't repeat mistakes
 </li>
 <li>
 Strong attention to detail&mdash;cares about getting things right, not just done
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Reliable and accountable&mdash;meets deadlines, communicates proactively if stuck
 </li>
 <li>
 Professionalattitude&mdash;ready to interactwith clients appropriately when the time comes
 </li>
 <li>
 Growth mindset&mdash;hungry to learn, improve,and take on more responsibility
 </li>
 <li>
 Positive energy&mdash;team playerwho brings good vibes to the workplace
 </li>
 </ul>
 
 
 
 
 Nice to Have (Not Required)
 
 <ul>
 <li>
 Any internship experience in design,marketing, or creativeagency
 </li>
 <li>
 Personal Behance/Dribbble profileor active designsocial presence
 </li>
 <li>
 Exposure to After Effects or basic videoediting
 </li>
 <li>
 Interest in branding,typography, or illustration
 </li>
 <li>
 Any prior exposureto AI tools like Midjourney or ChatGPT
 </li>
 </ul>
 
 
 
 
 What We Offer
 
 <ul>
 <li>
 Entry-level salary (India market rates) with performance-based growth
 </li>
 <li>
 Dedicated mentorship&mdash;you'll learndirectly from experienced designers
 </li>
 <li>
 Real client work from day one (with support)
 </li>
 <li>
 Full access to premium tools:Adobe CC, Figma,AI subscriptions, stocklibraries
 </li>
 <li>
 Structuredlearning path with clear milestones to mid-level role
 </li>
 <li>
 Flexible remote/hybrid work options
 </li>
 <li>
 Training budget for courses and certifications
 </li>
 <li>
 Supportiveteam culture&mdash;we investin juniors
 </li>
 <li>
 Health insurance and standard benefitsper company policy
 </li>
 </ul>
 
 
</div>

Graphic Designer

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