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associate, ml data operations, go-ai operations

assistant manager data science gen ai engineer

<div>
 
 Position Summary
 
 
 
 We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You&rsquo;ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.
</div>

Assistant Manager-Data Science-Gen AI Engineer

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Syngenta

<div>
 
 Company Description
 
 
 
 Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT &amp; Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.
 
 
 Website address - https://www.syngentagroup.com/
 
 
 
 Job Description
 
 
 
 
 Role purpose
 
 
 
 The role will design, develop, and implement cutting-edge AI solutions that drive business value while ensuring technical excellence, scalability, and innovation in solving complex business challenges.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Developing and implementing innovative AI models / applications and solutions
 </li>
 <li>
 Data preprocessing, model training, and evaluation tasks
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
 </li>
 <li>
 Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact.
 
 
 </li>
 </ul>
 
 Knowledge, Experience &amp; Capabilities
 
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
 </li>
 <li>
 Strong interest in artificial intelligence, machine learning, Generative AI, LLMs, prompt engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Good understanding of front-end technologies like HTML/ CSS
 </li>
 <li>
 Good understanding of AWS cloud architecture including Sagemaker and Bedrock
 </li>
 <li>
 Knowledge of SAP is preferred
 </li>
 <li>
 Ability to use identify and re-use GitHub projects to solve business problems
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Effective communication and teamwork abilities.
 
 
 </li>
 </ul>
 
 Critical success factors &amp; key challenges
 
 
 
 <ul>
 <li>
 Strong algorithm design, logical and reasoning skills
 </li>
 <li>
 Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
 </li>
 <li>
 Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
 </li>
 <li>
 Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background
 </li>
 <li>
 Problem solving and decision-making skills
 </li>
 <li>
 Teamwork, team management and leadership skills
 
 
 </li>
 </ul>
 
 Innovations
 
 
 
 Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.
 
 
 
 Qualifications
 
 
 
 Degree in Computer Science, AI, ML, Data Science, Engineering, or related fields.
 
 
 
 Additional Information
 
 
 
 Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.
 
 
 Follow us on: LinkedIn
 
 
 LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all
</div>

AI Solution Engineer

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 </li>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 Experienced Data Engineer with over 5 years of expertise in building scalable data pipelines using Databricks, PySpark, AWS, and Airflow. Skilled in designing robust architectures, improving data quality, and driving insights in agile, stakeholder-driven environments&mdash;preferably within the life sciences domain.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Engineer
 
 </li>
 <li>
 
 Location: All Persistent Locations
 
 </li>
 <li>
 
 Experience: 5 to 11 years
 
 </li>
 <li>
 
 Job Type:
 
 
 Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Designing, creating, testing and maintaining the complete data management &amp; processing systems.
 </li>
 <li>
 Working closely with the stakeholders &amp; solution architect.
 </li>
 <li>
 Ensuring architecture meets the business requirements.
 </li>
 <li>
 Building highly scalable, robust &amp; fault-tolerant systems.
 </li>
 <li>
 Discovering data acquisitions opportunities
 </li>
 <li>
 Finding ways &amp; methods to find value out of existing data.
 </li>
 <li>
 Improving data quality, reliability &amp; efficiency of the individual components &amp; the complete system.
 </li>
 <li>
 Creating data models to reduce system complexities and hence increase efficiency &amp; reduce cost.
 </li>
 <li>
 Setting &amp; achieving individual as well as the team goal.
 </li>
 <li>
 Problem solving mindset working in agile environment
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Candidate should have 5+ years of experience in Data Engineering
 </li>
 <li>
 Must have knowledge and working experience in Databricks, PySpark and in AWS, Apache Airflow, ETL, SQL
 </li>
 <li>
 Nice to Have &ndash; Life science
 </li>
 <li>
 domain experience (Pharma), Redshift, BI Tools (Tableau/Power BI)
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Data Engineer

Searce Inc

<div>
 
 
 Legal | Manager
 
 
 
 
 
 
 Manager Legal Advisor optimizing Risk with Modern Legal Solutions and safeguarding Searce's innovation through proactive dispute resolution and decisive litigation.
 
 
 
 
 
 
 What are we looking for
 
 
 
 
 real solver?
 
 
 
 
 
 
 
 Solver? Absolutely. But not the usual kind.
 
 We're searching for the architects of the audacious &amp; the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer &lsquo;best practices,&rsquo; and build solutions that make the future possible NOW, then you're speaking our language.
 
 
 
 
 <ul>
 <li>
 Improver. Solver. Futurist.
 </li>
 <li>
 Great sense of humor.
 </li>
 <li>
 &lsquo;Possible. It is.&rsquo; Mindset.
 </li>
 <li>
 Compassionate collaborator. Bold experimenter. Tireless iterator.
 </li>
 <li>
 Natural creativity that doesn&rsquo;t just challenge the norm, but solves to design what&rsquo;s better.
 </li>
 <li>
 Thinks in systems. Solves at scale.
 </li>
 </ul>
 
 
 
 
 
 This Isn&rsquo;t for Everyone.
 
 But if you&rsquo;re the kind who questions
 
 why
 
 things are done a certain way&mdash;and then identifies 3 better ways to do it &mdash; we&rsquo;d love to chat with you.
 
 
 
 
 
 ______________________________________
 
 
 
 
 
 
 Your Mission: The Role
 
 
 
 
 solving for better.
 
 
 
 
 
 
 You're the proactive legal backbone of our business, ensuring innovation thrives within a secure and compliant framework. This role isn't about passively reviewing documents; it's about actively shaping our future by identifying and neutralizing legal risks before they become roadblocks. Your mission is to seamlessly integrate legal foresight into every business decision.
 
 
 
 
 
 As a Directly Responsible Individual (DRI), you'll balance crucial business objectives with astute legal risk mitigation. You'll achieve this by leveraging your keen observation, analytical skills, and clear communication to solve differently, challenging the status quo in traditional legal approaches. You'll lead from initial legal due diligence to enabling our teams with modern technology and streamlined processes.
 
 
 
 
 
 This isn't your typical legal role. You'll be in the trenches with our teams, understanding their nuances and empowering them to move faster and more securely. You'll remain 100% accountable for the clarity of your legal interpretations, the robustness of protections, and the tangible reduction of legal risk.
 
 
 
 
 
 If you&rsquo;re a business-savvy legal professional with the sharp mind of a strategist, the unwavering integrity of a guardian, and the collaborative spirit of an enabler&mdash;we've got a critical seat for you at the table. You're our proactive risk intelligence engine.
 
 
 
 
 
 
 You're not just a legal advisor. You're our proactive risk intelligence engine.
 
 
 
 ______________________________________
 
 
 
 
 
 
 Your Responsibilities
 
 
 
 
 what you will wake up to solve.
 
 
 
 
 
 
 You're the
 
 proactive legal backbone
 
 of our business, ensuring innovation thrives within a secure and compliant framework. This role isn't about passively reviewing documents; it's about actively shaping our future by identifying and neutralizing legal risks before they become roadblocks. Your mission is to seamlessly integrate legal protection into our operational DNA, working hand-in-hand with diverse teams. You'll leverage your expertise to illuminate legal pathways and empower informed decision-making.
 
 
 
 
 
 Here&rsquo;s how you'll make your mark:
 
 
 
 
 <ul>
 <li>
 
 Strategic Risk Management &amp; Advisory:
 
 Proactively identify, analyze, and strategically mitigate inherent legal risks (data privacy, IP, contracts, regulatory compliance) in business operations, new product development, and tech initiatives.
 </li>
 <li>
 
 Interpret &amp; Apply Complex Laws:
 
 Provide clear, actionable interpretations of intricate laws and contractual terms, ensuring company-wide adherence and advising on their practical business implications.
 </li>
 <li>
 
 Validate &amp; Optimize Legal Documents:
 
 Lead the review, drafting, and negotiation of diverse legal documents, ensuring they're robust, protect company interests, and align with business objectives.
 </li>
 <li>
 
 Business Enablement &amp; Collaboration:
 
 Act as a key liaison, translating legal complexities into understandable business impacts. You'll also empower teams through education, fostering a culture of proactive risk management, and support strategic initiatives with critical legal counsel from inception.
 </li>
 <li>
 
 Modernization &amp; Continuous Improvement:
 
 Champion and implement modern legal technologies (e.g., CLM, AI-driven research, e-discovery) to enhance efficiency, accuracy, and scalability. You'll continuously identify inefficiencies, designing smarter, streamlined solutions for faster, legally sound operations.
 </li>
 <li>
 
 Accountability &amp; Impact:
 
 Own legal outcomes as the
 
 Directly Responsible Individual (DRI)
 
 for the integrity of legal advice and the effectiveness of risk mitigation. You'll track and communicate the impact of legal interventions, showing how proactive strategies contribute to business continuity, growth, and reputation.
 </li>
 </ul>
 
 ______________________________________
 
 
 
 
 
 
 Welcome to Searce
 
 
 
 
 The &lsquo;process-first&rsquo;, AI-native modern tech consultancy that's rewriting the rules.
 
 
 
 
 
 
 
 We don&rsquo;t do traditional.
 
 
 
 As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to
 
 futurify
 
 operations and make processes smarter, faster &amp; better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients.
 
 
 
 
 
 The result? Modern business reinvention, built on math, tech, and clarity of purpose
 
 
 ______________________________________
 
 
 
 
 
 
 The DNA of a &lsquo;Searcian&rsquo;
 
 
 
 
 superpowers we value.
 
 
 
 
 
 
 
 The &lsquo;happier&rsquo; core
 
 
 
 
 
 <ul>
 <li>
 
 happier-at-heart:
 
 
 h
 
 umble,
 
 a
 
 daptable,
 
 p
 
 ositive,
 
 p
 
 assionate,
 
 i
 
 nnovative,
 
 e
 
 xcellence-minded,
 
 r
 
 esponsible.
 </li>
 <li>
 
 happier-in-action:
 
 Not just a poster on the wall; It's how we make decisions, treat each other, show up for clients &amp; hire or promote people.
 </li>
 <li>
 
 Thinks like a founder. Acts like an owner.
 
 </li>
 <li>
 
 Always in Beta:
 
 Relentless curiosity. Openness to learn, un-learn, and re-learn.
 </li>
 <li>
 
 Real Optimist:
 
 Views all setbacks as opportunities.
 </li>
 <li>
 
 Believes in truth over comfort. Ideas over titles. Learning over knowing.
 
 </li>
 <li>
 
 Embraces chaos with calm. Evolves faster than the market.
 
 </li>
 </ul>
 
 
 
 
 
 Functional Skills
 
 
 
 
 
 <ul>
 <li>
 
 Strategic Risk Mitigation:
 
 Proactively identify, assess, and mitigate complex legal/contractual risks across diverse operations &amp; cutting-edge tech.
 </li>
 <li>
 
 Business-Integrated Legal Counsel:
 
 Translate legal concepts into actionable advice for business goals &amp; leadership.
 </li>
 <li>
 
 Contractual Mastery &amp; Negotiation:
 
 Advanced skills in drafting, interpreting, and negotiating legal documents for robust protections.
 </li>
 <li>
 
 Tech-Driven Legal Enablement &amp; Optimization:
 
 Leverage modern legal tech/process improvements for efficiency, scale, and compliance.
 </li>
 <li>
 
 Cross-Functional Collaboration &amp; Problem Solving:
 
 Build relationships, influence stakeholders, and dissect complex problems for practical solutions.
 </li>
 </ul>
 
 
 
 
 
 Tech Superpowers
 
 
 
 
 
 <ul>
 <li>
 
 Legal Tech Integration:
 
 Adept at leveraging AI-powered legal research &amp; CLM for efficiency &amp; insight.
 </li>
 <li>
 
 Data &amp; Privacy Fluent:
 
 Understand data flows, cybersecurity, and privacy tech for precise governance and compliance advice.
 </li>
 <li>
 
 Cloud &amp; AI Literacy:
 
 Grasp cloud/AI/ML concepts, identifying legal risks and providing practical guidance.
 </li>
 <li>
 
 Digital Risk Assessment &amp; Automation:
 
 Analyze legal implications of emerging digital tech, translating risks to actionable advice; streamline workflows via automation.
 </li>
 </ul>
 
 
 
 
 
 Experience &amp; Relevance
 
 
 
 
 
 <ul>
 <li>
 
 Legal Leadership (8+ Years):
 
 Extensive corporate legal/law firm experience (8+ years) in contractual review, risk mitigation, and astute legal counsel impacting business.
 </li>
 <li>
 
 Tech Sector Acumen (5+ Years):
 
 Demonstrated history (5+ years) operating within/advising tech companies (cloud, AI, data).
 </li>
 <li>
 
 Dispute Resolution &amp; Strategic Advisory:
 
 Comprehensive knowledge of dispute resolution (mediation, arbitration, litigation) and proven ability to provide strategic, actionable legal advice.
 </li>
 <li>
 
 Risk Management Execution &amp; Process Optimization:
 
 Strong track record in proactive risk mitigation, asset protection, and enhancing legal function efficiency through tech adoption.
 </li>
 </ul>
 
 
 
 
 
 Bonus Points (you'll thrive if you have)
 
 
 
 
 
 <ul>
 <li>
 
 Entrepreneurial Legal Mindset:
 
 High ownership and bias for action; sees legal challenges as impact opportunities.
 </li>
 <li>
 
 Global Legal Frameworks &amp; Innovation:
 
 Experience with international laws and a track record of introducing novel legal solutions/technologies.
 </li>
 <li>
 
 "0 to 1" Legal Tech &amp; Action Over Deliberation:
 
 Instrumental in building/scaling new legal functions/tools from scratch; defaults to solve, protect, deliver tangible outcomes; prioritizes impact.
 </li>
 </ul>
 
 ______________________________________
 
 
 
 
 
 
 Join the &lsquo;real solvers&rsquo;
 
 
 
 
 ready to futurify?
 
 
 
 If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses,
 
 apply here
 
 and experience the &lsquo;
 
 Art of the possible
 
 &rsquo;.
 
 Don&rsquo;t Just Send a Resume. Send a Statement.
 
 
 
 
</div>

Legal Manager

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